AI
ENGINEERING RECRUITMENT SOLUTIONS
Harnham specializes in AI Engineering recruitment, offering a deep understanding of the AI technology landscape and its evolving demands. Our services are tailored to identify and attract AI professionals with expertise in machine learning, deep learning, computer vision, natural language processing, and other AI disciplines, ensuring they match the specific needs of your projects and company culture.
With our extensive global network, we access a vast pool of AI talent across various regions, while our local market expertise guarantees a nuanced understanding of each area's unique professional landscape. This dual approach ensures we deliver candidates who not only excel in their technical capabilities but also align with your regional and organizational nuances.
WHY
HARNHAM?
Harnham goes beyond traditional AI recruitment; we act as your strategic data talent partner, understanding your business objectives and technological environment to align our data talent search with your long-term goals.
This approach transforms AI recruitment from a transactional process to a strategic element of your business success. We offer a full spectrum of data talent solutions encompassing talent mapping, market analysis, competitor intelligence, AI salary benchmarking, and strategic workforce planning. Our comprehensive services ensure you can not only attract but also retain the leading minds in AI engineering.Â
OUR
SERVICES
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- Permanent Direct Hire Placement: We find the perfect match for your long-term needs in AI engineering, ensuring candidates who can grow and evolve with your company.
- Contract and Freelance : Our contract recruitment solutions offer flexibility and access to top-tier talent for project-based or interim needs in AI engineering.
- Executive Search: We identify and secure industry-leading executives who can steer your AI initiatives to new heights of success and innovation.
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Connect with Us
Discover how our tailored AI recruitment and data talent solutions can empower your business to lead in the AI revolution.Â
Contact us today to start a conversation about your data talent needs and how we can help you achieve your strategic objectives.
JOBS
LATEST AI engineering
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Director of AI
Nashville
$225000 - $275000
+ Data Science & AI
PermanentNashville, Tennessee
To Apply for this Job Click Here
Director of AI
US Remote (EST/CST preference)
$225-275k base + 20% bonus (no equity)
We’re partnering with a global travel management organization that is making a significant investment in AI and is looking for a Director of AI to lead the next stage of that journey.
This is a hands-on leadership role focused on building and scaling agentic AI across the business, from internal productivity and workflow automation through to customer facing AI products.
You’ll own the AI roadmap, technical architecture, team, vendor strategy, governance, and budget, while staying close enough to the technology to guide design and implementation decisions.
What You’ll Be Doing
- Define and deliver the agentic AI strategy across the organization
- Build the frameworks and architecture that intelligent agents operate within, including tool access, context management, control flow, guardrails, and error handling
- Set standards around MCP, A2A, RAG, evaluation, and production readiness
- Build AI into customer facing products and operational workflows
- Drive internal productivity through copilots, automation, and AI enabled tools
- Own model strategy, including provider selection, model routing, self-hosting, and inference cost
- Lead AI governance, security, privacy, and regulatory readiness
- Build and lead a global team of full time and contract engineers
- Own vendor relationships and make build versus buy decisions
What We’re Looking For
- Strong background in software engineering, AI engineering, machine learning, or applied AI
- Hands on experience building and shipping production AI systems, including agentic applications
- Strong understanding of RAG, MCP, A2A, model orchestration, evaluation, and agent security
- Experience leading technical teams and influencing senior stakeholders
- Strong engineering fundamentals across architecture, CI/CD, cloud infrastructure, and production systems
- Good understanding of the current model landscape across frontier and open weight models
- Experience working with enterprise governance, cybersecurity, privacy, and AI regulation
- Comfortable balancing strategy with hands on technical involvement
Nice to Have
- Experience building ML models beyond API based applications
- Background in Data Science or Machine Learning
- Experience in travel, hospitality, logistics, or another operationally complex industry
- Experience with workflow automation platforms such as n8n
- Experience with ISO/IEC 42001 or EU AI Act readiness
- Experience running AI systems in multi-tenant, customer facing environments
To Apply for this Job Click Here
Principal Software Engineer, AI
Boston
$240000 - $260000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Principal Software Engineer, AI
Boston, MA – Fully Remote
$240,000-260,000 Base Salary
THE COMPANY
Our client is a high-growth AI and technology business focused on helping organizations unlock value through advanced analytics, automation, and artificial intelligence. Working at the intersection of AI, business transformation, and enterprise technology, the company develops proprietary platforms that enable organizations to better understand, optimize, and improve their operations.
Backed by leadership and talent from leading technology, analytics, and consulting firms, the organization is building innovative solutions that help businesses adopt AI with confidence, delivering measurable outcomes through data-driven transformation.
As the business continues its next phase of growth, it is seeking a Principal Software Engineer to play a key role in shaping both its technology platform and engineering culture.
RESPONSIBILITIES
- Lead the technical vision, architecture, and strategic direction of a sophisticated AI-powered enterprise platform.
- Mentor and develop a multidisciplinary engineering team through code reviews, design reviews, and hands-on collaboration.
- Design and experiment with cutting-edge large language model (LLM) solutions and AI capabilities for production use cases.
- Architect and build scalable services using Python and modern AI orchestration frameworks.
- Partner closely with engineering, data, and leadership teams to design and optimize cloud-based data platforms and services.
- Build and maintain cloud infrastructure, CI/CD pipelines, security controls, and deployment processes.
- Translate complex business requirements into scalable technical solutions.
- Drive engineering excellence through testing, documentation, observability, monitoring, and best-practice development standards.
- Evaluate emerging AI technologies and identify opportunities to incorporate them into the platform roadmap.
SKILLS AND EXPERIENCE
Required
- 8+ years of professional software engineering experience, including experience operating at Technical Lead, Staff Engineer, or Principal Engineer level.
- Strong Python development experience, including production-grade applications, analytics platforms, and data pipelines.
- Hands-on experience with cloud platforms such as GCP, AWS, or Azure, including data services, infrastructure, and security management.
- Strong SQL and data modeling expertise for large-scale analytical workloads.
- Proven ability to lead projects and make architectural decisions in fast-paced, evolving environments.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
- Experience building and deploying production LLM applications using modern orchestration frameworks and multiple model providers.
Preferred
- Experience with Docker, CI/CD pipelines, and Infrastructure-as-Code.
- Familiarity with AI observability, monitoring, and evaluation frameworks.
- Previous experience in consulting, private equity-backed organizations, or high-growth technology environments.
- Background working on AI, machine learning, analytics, or enterprise transformation initiatives.
BENEFITS
- Competitive base salary.
- Meaningful early-stage equity participation.
- Health, dental, and vision coverage.
- Retirement savings plan.
- Generous paid time off.
- Flexible hybrid or remote working options.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Principal Software Engineer | Staff Engineer | Technical Lead | Python | Generative AI | LLMs | LangChain | LangGraph | Cloud Engineering | GCP | AWS | Azure | BigQuery | PostgreSQL | Data Engineering | AI Applications | Machine Learning | Software Architecture | CI/CD | Docker | Infrastructure as Code | Remote | Hybrid | Enterprise Technology | Digital Transformation | Analytics Platform | AI Platform Engineering
To Apply for this Job Click Here
Agentic AI Software Engineer
Houston
$160000 - $180000
+ Data Science & AI
PermanentHouston, Texas
To Apply for this Job Click Here
Senior Agentic AI Engineer (Full Stack)
$160,000-$180,000
4 days/week on-site
Overview
We are seeking a senior software engineer with a strong full-stack background who has evolved into AI engineering and agent development. This role focuses on building, deploying, and optimising intelligent agents and AI-driven workflows that interact with enterprise systems, data sources, and users.
The successful candidate will have hands-on experience developing production-grade AI applications using large language models (LLMs), retrieval-augmented generation (RAG), agent orchestration frameworks, and modern software engineering practices. This position is centred on designing and building AI agents rather than purely traditional application development.
Key Responsibilities
AI Agent Development
- Design and develop AI agents capable of reasoning across complex business processes and interacting with tools, APIs, and enterprise systems.
- Build intelligent support and workflow automation agents that understand intent, retrieve information, and execute tasks.
- Develop agentic workflows combining LLMs, structured data, business logic, external services, and retrieval mechanisms.
- Create memory, context, and personalisation capabilities to improve agent effectiveness.
- Implement guardrails, monitoring, evaluation frameworks, escalation paths, and human oversight mechanisms.
- Measure and improve agent performance across quality, reliability, latency, utilisation, and cost metrics.
Full-Stack Application Development
- Build user-facing applications that enable interaction with AI-powered experiences.
- Develop modern frontend applications using frameworks such as React, Angular, Next.js, or comparable technologies.
- Create backend services, APIs, orchestration layers, and integration services using Python-based frameworks.
- Translate advanced AI capabilities into practical business applications and intuitive user experiences.
- Own solutions end-to-end from architecture through deployment and support.
Data & AI Infrastructure
- Build and maintain data ingestion, integration, and transformation pipelines.
- Develop and support retrieval-augmented generation (RAG) solutions and enterprise search capabilities.
- Design systems supporting context management, retrieval, memory, and personalisation.
- Integrate AI solutions with databases, APIs, analytics platforms, and enterprise applications.
- Ensure data quality, security, reliability, and scalability across AI systems.
LLM Engineering
- Integrate and orchestrate large language models within production environments.
- Design prompting strategies, retrieval approaches, tool-calling frameworks, and multi-step workflows.
- Build AI-powered capabilities including conversational assistants, document intelligence, semantic search, and workflow automation.
- Evaluate models, architectures, and AI platforms for performance, reliability, business fit, and cost efficiency.
- Establish monitoring and evaluation methodologies for production AI solutions.
Engineering Excellence
- Leverage AI-assisted development tools to improve engineering productivity while maintaining high code quality standards.
- Stay current with emerging AI frameworks, tooling, and industry best practices.
- Implement CI/CD, testing, observability, security, and production monitoring practices.
- Support reliable deployment and ongoing optimisation of AI-enabled applications.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
- 8+ years of professional software engineering experience.
- Strong full-stack development experience across frontend and backend technologies.
- Proven experience building and maintaining RESTful APIs and backend services.
- Experience working with data-intensive applications and enterprise integrations.
- Hands-on experience developing AI agents, autonomous workflows, or LLM-powered applications.
- Strong understanding of LLMs, RAG, tool usage, orchestration frameworks, and AI application architectures.
- Experience integrating AI systems with APIs, databases, enterprise platforms, and third-party services.
- Frontend experience with React, Angular, Next.js, or similar frameworks.
- Experience using AI-assisted development tools within software delivery workflows.
- Experience designing agent memory, retrieval, context, evaluation, or reasoning systems.
- Strong understanding of cloud-native application development and deployment.
Preferred Qualifications
- Experience with modern data-platform or lakehouse architectures.
- Experience deploying applications on public cloud platforms.
- Experience with CI/CD pipelines, infrastructure automation, and cloud operations.
- Experience working within agile software delivery environments.
- Experience building highly scalable enterprise applications.
What Success Looks Like
- Demonstrates an AI-first engineering mindset focused on intelligent workflows rather than simple AI integrations.
- Comfortable operating across software engineering, AI, data, and infrastructure domains.
- Balances innovation with reliability, observability, governance, and security.
- Strong product mindset with a focus on measurable business outcomes.
- Effective communicator who collaborates with technical and non-technical stakeholders.
- Thrives in fast-moving environments where requirements and technologies evolve rapidly.
To Apply for this Job Click Here
Staff AI Engineer
Palo Alto
$250000 - $350000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
STAFF AI ENGINEER
Palo Alto, California, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.
You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and conversational AI systems
- Text-to-code and natural language SQL systems
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable GenAI infrastructure and deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build and scale core GenAI infrastructure with real impact
- High ownership from architecture through production
- Fast iteration cycles and strong technical autonomy
- High visibility with senior technical leadership
- Opportunity to shape foundational AI systems at scale
- Opportunity to shape foundational AI systems at scale
To Apply for this Job Click Here
Chief Technology Officer
New York
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Chief Technology Officer (CTO)
Hybrid in New York City
$300,000-350,000 base + Equity
THE COMPANY
Our client is a high-growth AI-native technology company transforming the advertising and marketing ecosystem. The business is building a unified platform designed to replace fragmented agency and martech workflows with intelligent, autonomous systems that streamline campaign strategy, creative development, media activation, optimization, and reporting.
Backed by a strong product vision and an experienced leadership team, the company is at the forefront of applying agentic AI to real-world enterprise workflows. They are now seeking a Chief Technology Officer (CTO) to define the technology strategy, scale the engineering organization, and lead the next phase of growth, specifically around AI agent harness and orchestration infrastructure.
RESPONSIBILITIES
- Define and execute the company’s technology vision, architecture strategy, and long-term product roadmap.
- Own AI agent harnessing and orchestration infrastructure.
- Lead and scale a high-performing engineering organization, fostering a culture of innovation, accountability, and technical excellence.
- Drive the development of AI-native products, agentic workflows, orchestration frameworks, and enterprise-grade automation capabilities.
- Oversee platform architecture, ensuring scalability, reliability, security, observability, and operational excellence as the business grows.
- Partner closely with Product, Commercial, and Customer teams to translate complex advertising and marketing workflows into market-leading software solutions.
- Evaluate emerging AI technologies, LLM frameworks, agent architectures, and infrastructure strategies to maintain a competitive edge.
- Establish engineering best practices covering software development lifecycle, AI governance, deployment standards, testing, and monitoring.
- Build strategic relationships with customers, technology partners, and industry stakeholders to support product innovation and market expansion.
- Lead technical recruitment and organizational growth while mentoring senior engineering talent and future technical leaders.
- Serve as a key member of the executive leadership team, contributing to company-wide strategy, growth planning, and investor discussions.
SKILLS & EXPERIENCE
Required
- Significant software engineering and technology leadership experience, including building and scaling modern SaaS platforms.
- Deep expertise in AI agent harnessing, machine learning, LLM-powered applications, and agentic architectures.
- Strong architectural knowledge across distributed systems, APIs, cloud infrastructure, data platforms, and enterprise integrations.
- Proven track record of delivering complex products from concept through production in fast-moving, high-growth environments.
- Experience building and leading engineering teams, including hiring, mentorship, performance management, and organizational design.
- Demonstrated ability to balance strategic leadership with hands-on technical decision-making.
- Excellent communication skills with the ability to engage technical teams, executive stakeholders, customers, and investors.
Nice to Have
- Experience within advertising technology (AdTech), marketing technology (MarTech), media, or related digital ecosystems.
- Knowledge of enterprise data platforms, CDPs, DSPs, SSPs, advertising APIs, and campaign management systems.
- Exposure to agent orchestration frameworks, multi-agent systems, and model context protocols.
- Experience evaluating or deploying self-hosted and enterprise AI infrastructure.
BENEFITS
- Fully remote-first working environment across the US
- Opportunity to shape technology strategy at an executive level
- Significant influence over product direction and company growth
- Work alongside a highly experienced and senior technical team
- Fast-moving startup environment with substantial ownership and impact
- Equity participation potential and executive-level compensation package
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
CTO | Chief Technology Officer | VP Engineering | AI Leadership | Artificial Intelligence | Agentic AI | Generative AI | LLMs | SaaS | Cloud Architecture | Distributed Systems | Engineering Leadership | AdTech | MarTech | Machine Learning | Platform Engineering | Product Strategy | Remote US | Startup Leadership | Executive Technology Role | AI Agent Harnessing | AI Harness | AI Agent Orchestration
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior AI Engineer
London
£90000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£90,000 – £120,000
London (3 days a week in office)
This is an exciting opportunity to join a newly established AI innovation team at a globally recognised organisation. You will help shape the future of AI-powered products, working on cutting-edge generative AI applications that move rapidly from concept to production. The role offers significant visibility, real impact, and the chance to influence how AI is used at scale.
THE COMPANY
They are a well-established international organisation with a strong reputation for delivering trusted products and services to a global audience. Operating across multiple markets, they are investing heavily in AI innovation and building a dedicated team focused on exploring the next generation of intelligent products. Their environment combines technical excellence, experimentation, and a commitment to responsible AI development.
THE ROLE
As a Senior AI Engineer you will join a high-impact AI team focused on developing and deploying advanced generative AI solutions.
Specifically, you can expect to be involved in the following:
- Building and deploying LLM-powered applications from prototype through to production
- Fine-tuning large language models for specific use cases and content requirements
- Designing, curating, and managing datasets for model training and evaluation
- Developing and optimising Retrieval-Augmented Generation (RAG) pipelines
- Creating evaluation frameworks and quality metrics for AI model performance
- Implementing human-in-the-loop feedback systems to improve outputs
- Supporting AI-driven features such as summarisation, personalisation, and real-time content generation
- Exploring speech and audio technologies, including text-to-speech solutions
- Collaborating closely with product, engineering, and design teams to deliver innovative AI experiences
- Contributing to experiments involving multimodal AI across text, image, and audio
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience building LLM or NLP-based systems
- Hands-on experience with platforms such as OpenAI, Claude, Gemini, Cohere, Mistral, or Hugging Face
- Expertise in fine-tuning techniques, including supervised fine-tuning and prompt optimisation
- Strong understanding of RLHF, RLAIF, and preference modelling approaches
- Advanced Python development skills
- Experience with tools and frameworks such as LangChain and Hugging Face Transformers
- Familiarity with data tooling including Pandas, DVC, and Weights & Biases
- Experience evaluating model performance using both quantitative and qualitative metrics
- Knowledge of speech technologies, including speech-to-text and text-to-speech solutions
- Strong communication and stakeholder management skills
- Comfortable working in a fast-paced, experimental environment
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £90,000 – £120,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
BE AI Engineer (Contract)
London
£500 - £580
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Lead Node.js Engineer (HubSpot & Commercial Systems)
Fully Remote
Outside IR35
£500 – £580 Per Day
8 Month Duration
The Company
They are a global technology and digital marketing organisation operating at scale across online consumer platforms. Their products combine data, technology, content, and partnerships to connect highly engaged audiences with relevant digital experiences. With a strong engineering culture and significant volumes of commercial data flowing through their platforms, they continue to invest in the systems and tooling that support business growth. This contract supports a key engineering function during a period of planned leave cover.
The Role and Deliverables
- Lead development and ongoing enhancement of a proprietary commercial data platform that acts as a bridge between internal systems and HubSpot.
- Drive architectural decisions and define scalable solutions across multiple business and engineering stakeholders.
- Work closely with commercial, product, and engineering teams to gather requirements and translate them into deliverables.
- Support the maintenance, optimisation, and feature development of existing Node.js and TypeScript services.
- Collaborate with HubSpot teams and internal stakeholders to ensure platform design aligns with wider business objectives.
- Identify dependencies, manage technical discussions, and provide guidance throughout delivery.
Your Skills & Experience
- Strong commercial experience with Node.js, JavaScript, and TypeScript.
- Experience working with GitHub and GitHub Actions in modern development environments.
- Understanding of HubSpot architecture, integrations, and platform capabilities.
- Proven experience working with Agentic AI technologies and solutions.
- Ability to lead conversations with both technical and non-technical stakeholders and build consensus around solutions.
- Strong system design and software architecture capabilities.
- Experience mentoring engineers and supporting technical growth within teams.
- Ability to take ownership of complex engineering challenges and deliver pragmatic solutions.
- Exposure to DevOps practices is beneficial.
- Experience with Kafka or event-driven architectures would be advantageous.
- Previous experience within digital marketing, affiliate platforms, online gaming, or related sectors is desirable.
How to Apply
If you’re a Lead Node.js Engineer with experience across HubSpot, commercial systems, and modern AI-driven technologies, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
Forward Deployed Engineer
New York
$105000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Forward Deployed Engineer (AI & Data Platforms)
New York, NY – Hybrid 3 days a week on site
Up to $220,000 Base Salary + Benefits (dependant on residing state & level of experience)
US Citizen or Green Card holders – visa sponsorship unavailable now or in the future
I’m partnering with a leading consulting organization that is expanding its AI and Data Transformation practice and is seeking a Senior Forward Deployed Engineer to help deliver cutting-edge AI and data solutions within enterprise client environments.
This is a highly client-facing role where you’ll work directly with business and technical stakeholders to build, deploy, and optimize data and AI solutions that drive measurable business outcomes.
What You’ll Be Doing
- Lead end-to-end technical workstreams from discovery through deployment.
- Build and maintain production-grade Python and SQL data pipelines.
- Configure and optimize enterprise data and AI platforms.
- Work closely with engineering, data, and business teams to deliver scalable solutions.
- Drive user adoption through enablement, documentation, and technical leadership.
- Mentor junior team members and contribute to delivery best practices.
What We’re Looking For
- 5+ years of experience in client-facing, consulting, or embedded engineering roles.
- Strong hands-on experience with Python and SQL in production environments.
- Experience building and maintaining modern data pipelines and workflows.
- Background working with enterprise data platforms (Palantir Foundry experience is highly desirable).
- Proven ability to navigate ambiguity and deliver solutions independently.
- Strong communication skills with the ability to partner directly with client stakeholders.
Why Consider This Opportunity?
- Work on innovative AI, GenAI, and data transformation initiatives.
- Join a growing practice focused on solving complex enterprise challenges.
- Exposure to senior business and technology leaders across multiple industries.
- Opportunity to influence the adoption of next-generation AI solutions at scale.
Compensation: Up to $165,000 base salary, plus comprehensive benefits package.
If you’re interested in leveraging AI, data engineering, and client engagement experience to deliver high-impact solutions, I’d love to connect.
#DataEngineering #AI #GenAI #Palantir #Python #SQL #ConsultingJobs #Hiring #RemoteJobs
To Apply for this Job Click Here
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Director of People Operations
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
