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Lead AI Engineer

$160,000-180,000 base salary + bonus

Minneapolis, MN – 3 days/week onsite

THE COMPANY

Harnham is working with a global technology and information services organization that develops advanced software solutions for professionals operating in highly regulated and data-intensive industries. With significant investment in artificial intelligence and emerging technologies, the business is building next-generation intelligent platforms that help customers uncover insights, make critical decisions, and improve operational efficiency at scale.

This is an opportunity to join a highly innovative engineering team at the forefront of AI adoption, where you will help shape enterprise-grade solutions leveraging Generative AI, RAG architectures, autonomous agents, and cloud-native technologies.

RESPONSIBILITIES

• Lead the design and development of enterprise-scale AI applications, including RAG solutions, intelligent agents, and multi-stage AI pipelines.
• Architect and deliver full-stack solutions spanning AI orchestration layers, APIs, microservices, data services, and modern web applications.
• Drive technical strategy for AI initiatives, evaluating emerging technologies and translating research into practical business applications.
• Establish best practices for MLOps and LLMOps, including model deployment, monitoring, governance, and lifecycle management.
• Mentor and support engineering teams, providing technical leadership and guidance across complex software projects.
• Collaborate closely with product, design, research, and engineering stakeholders to deliver scalable, secure, and high-performing AI-powered products.
• Champion observability, testing, security, compliance, and responsible AI practices across the software development lifecycle.
• Optimize AI solutions for performance, cost efficiency, reliability, and user experience within large-scale production environments.

SKILLS AND EXPERIENCE

Required

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience (Master’s degree preferred).
• 8+ years of software engineering experience, including at least 4 years in senior or lead engineering roles focused on AI/ML solutions.
• Proven experience designing and delivering Generative AI, LLM, RAG, or agent-based applications in production environments.
• Strong expertise in backend development, APIs, distributed systems, and cloud-native application architecture.
• Expert-level proficiency in object-oriented programming and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong experience with AWS and modern infrastructure tooling including Docker, Kubernetes, and Terraform.
• Demonstrated ability to integrate AI models into enterprise-scale systems through APIs, data pipelines, and microservices.
• Excellent communication, leadership, stakeholder management, and mentoring skills.

Preferred

• Experience leading teams building AI-driven platforms or enterprise AI integrations.
• Knowledge of vector databases, embeddings, semantic search, and information retrieval technologies.
• Experience working within regulated sectors such as legal, financial, risk, compliance, or investigative services.
• Understanding of AI governance, model risk management, and regulatory compliance frameworks.
• Record of successful AI product launches, technical presentations, publications, patents, or industry speaking engagements.

BENEFITS

• Opportunity to lead cutting-edge AI initiatives with significant business impact.
• Exposure to large-scale enterprise AI platforms and modern cloud technologies.
• Collaborative and innovation-focused engineering culture.
• Ongoing professional development, learning, and industry engagement opportunities.
• Comprehensive employee benefits package and flexible working arrangements.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Lead Software Engineer AI | Principal Software Engineer | Generative AI | LLM | Large Language Models | RAG | Retrieval Augmented Generation | Agentic AI | AI Agents | Machine Learning | MLOps | LLMOps | AWS | Kubernetes | Docker | Terraform | Python | PyTorch | TensorFlow | JAX | Microservices | APIs | Distributed Systems | Vector Databases | Embeddings | Semantic Search | Cloud Architecture | Enterprise Software | Full Stack Engineering | Artificial Intelligence Leadership

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Senior AI Product Engineer

San Francisco Bay Area (Hybrid | 3 days onsite) Compensation: Up to $250,000 Base + Equity

Build AI Products That Reach Real Users

We’re looking for an experienced AI Product Engineer to help build and scale the next generation of AI-powered products.

This is a hands-on role for someone who thrives at the intersection of software engineering, product thinking, and applied AI. You’ll work across the full life cycle of intelligent systems, from initial concept and prototyping to production deployment, evaluation, and continuous improvement.

If you’ve successfully shipped AI-powered features that deliver measurable value to users and enjoy solving complex problems with both technical depth and customer empathy, we’d love to meet you.

What You’ll Do

• Design, build, and deploy production-grade AI applications and agentic systems
• Partner closely with product, engineering, and leadership teams to identify high-impact opportunities for AI
• Own features end-to-end, from architecture and implementation through monitoring and optimization
• Develop robust evaluation frameworks to measure quality, reliability, and business impact
• Continuously improve system performance through experimentation, testing, and iteration
• Help establish best practices for building scalable, maintainable AI products
• Contribute to a collaborative engineering culture focused on learning, innovation, and execution

What We’re Looking For

Required Qualifications

• Experience building and shipping customer-facing AI products into production
• Strong software engineering foundation with experience in backend or full-stack development
• Experience working with LLM-powered applications, agentic systems, or AI-driven workflows
• Proficiency in Python and/or TypeScript
• Experience evaluating, debugging, and improving AI system performance
• Ability to make thoughtful technical decisions and communicate trade-offs clearly
• Strong ownership mindset with a track record of delivering impactful products

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG)
• Familiarity with agent frameworks, orchestration platforms, or AI infrastructure tools such as LangChain, AWS Bedrock, LlamaIndex, or similar technologies
• Experience operating AI systems at scale in production environments
• Startup or high-growth company experience

What Success Looks Like

The strongest candidates have:

• Built AI-powered products that moved beyond prototype and reached real users
• Demonstrated ownership of both product outcomes and technical execution
• Experience creating evaluation and feedback loops that improve model quality over time
• A track record of balancing speed with thoughtful engineering decisions
• The ability to clearly explain what they built, why they built it, and what they learned along the way

Leveling

We are hiring at multiple levels based on experience and impact:

• Senior AI Product Engineer: Approximately 4-6 years of experience
• Senior AI Product Engineer II: Approximately 6-8 years of experience

Why Join?

• Work on cutting-edge AI products with meaningful user impact
• High ownership and influence on technical direction
• Competitive compensation package including equity
• Opportunity to help define how AI is integrated into real-world applications
• Collaborate with a team that values curiosity, execution, and continuous learning

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Senior Analytics Manager (Pricing and Promotions) – 1 Year FTC
London, Hybrid
Salary up to £85,000

This is an opportunity to take ownership of a high-impact commercial analytics function within a well-established consumer-facing business. You will play a key role in shaping strategic decisions across pricing, promotions, product ranging and operational performance, using advanced analytics to drive measurable commercial outcomes.

The Company
They are a recognised organisation with a strong customer focus and a data-driven approach to decision-making. Analytics sits at the heart of their commercial strategy, helping teams make smarter decisions that improve revenue, profitability and customer experience. The business continues to invest in data, technology and analytical capability, creating an environment where insight can directly influence business performance. You will join a collaborative team that values innovation, commercial thinking and continuous improvement.

The Role
As Senior Analytics Manager, you will lead the development of commercial analytics capabilities across pricing, promotions, forecasting and optimisation.
Responsibilities include:

• Developing and delivering a commercial analytics strategy aligned to business objectives.
• Building analytical frameworks to support pricing, promotional and product range decisions.
• Delivering forecasting, optimisation and predictive modelling solutions that drive revenue and margin growth.
• Translating complex analytical outputs into clear recommendations for senior stakeholders.
• Partnering with commercial, finance, operations, data science and engineering teams to embed analytics into decision-making.
• Driving improvements in analytical best practice, governance and data quality.
• Coaching and developing analytics talent while promoting a culture of commercial insight and continuous improvement.
• Identifying opportunities for experimentation and performance optimisation across key commercial areas.

Your Skills & Experience

• Strong commercial experience within analytics, insights or data science.
• Advanced SQL and experience with Python, R or similar analytical tools.
• Expertise in forecasting, optimisation, predictive modelling and commercial analytics.
• Experience delivering complex analytics projects from concept through to implementation.
• Strong understanding of pricing, promotions, demand forecasting, margin performance and customer-focused commercial decision-making.
• Excellent stakeholder management skills with the ability to influence senior business leaders.
• Experience developing analytical capability through mentoring, coaching or team leadership.
• Knowledge of data governance, model quality assurance and analytical best practice.

How to Apply
If you’re an experienced analytics leader looking to drive commercial impact through data and advanced analytics, apply today to find out more.

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Senior Data Scientist

£70,000-£80,000 + £5,000 Car Allowance + Bonus

London(Hybrid – 2x Days a Week in Office)

If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK’s strongest data science functions!

The Company

This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow rapidly and is looking to expand its Alternative Pricing Product team with a Senior Data Scientist. You’ll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production!

The Role

Reporting into the Head of Pricing, you’ll join a specialist team responsible for developing next-generation pricing models that challenge conventional approaches. Working across large and complex datasets, you’ll build predictive machine learning models using alternative data sources to improve customer pricing and risk selection.

Projects include:

• Building innovative predictive machine learning models
• Developing pricing and customer selection models
• Exploring alternative data sources to improve pricing accuracy
• Geospatial and footprint modelling
• Residual and claims modelling
• Working with messy, high-volume datasets to uncover commercial insights
• Deploying models using Azure Machine Learning
• Mentoring junior team members and helping shape best practice across the team

This is an opportunity to influence products that impact millions of customers whilst working on genuinely novel modelling challenges.

Your Skills & Experience

• Experience building machine learning models
• Strong Python skills
• Experience developing predictive models within commercial environments
• Experience working with large, complex datasets
• Experience with cloud-based ML platforms (Azure ML preferred)
• The ability to communicate technical findings to non-technical stakeholders
• Experience mentoring or supporting more junior data scientists is advantageous

Experience within insurance or financial services would be beneficial, although candidates from other highly analytical industries are also encouraged to apply.

The Benefits

• £70,000-£80,000 salary
• £5,000 annual car allowance
• Bonus

How to Apply

To register your interest in this opportunity, please send your CV via the application link

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Lead Analyst – Pricing & Promotions

Up to £50,000 + Benefits
Hybrid – 2 days per week, Central London

We’re working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making. As part of this investment, they’re expanding a newly formed analytics function focused on pricing, promotions, product strategy and trading performance.

This is an excellent opportunity for an experienced analyst to work on commercially critical projects, applying advanced analytics to influence pricing, promotional and trading decisions across the business.

The Role

• Develop analytical models to support pricing, promotions and commercial trading decisions.

• Apply forecasting, optimisation, elasticity analysis and predictive modelling techniques.

• Translate customer, product and trading data into actionable commercial recommendations.

• Present insights to stakeholders, helping drive data-led decision making.

• Deliver deep-dive analysis into pricing, promotional and trading performance.

• Support and mentor junior analysts while contributing to the development of the wider analytics function.

What We’re Looking For

• 5+ years’ experience in Analytics, Commercial Analytics or Data Science.

• Strong SQL and Power BI (or a similar data visualisation tool).

• Python experience is advantageous.

• Experience within retail, consumer, e-commerce or another high-volume commercial environment.

• Strong background in pricing, promotions or commercial analytics.

• Experience with forecasting, optimisation, elasticity modelling or other commercial modelling techniques.

• Previous mentoring or coaching experience is desirable.

What’s on Offer

• Up to £50,000 + benefits.

• Hybrid working (2 days per week in Central London).

• 1-year fixed-term contract with strong potential to become permanent.

• Opportunity to join a growing analytics function and work on high-impact commercial projects with excellent exposure to senior stakeholders.

Find out more and apply via the link below!

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Senior Analytics Manager

Up to £85,000 + Benefits
Hybrid – 2 days per week, Central London

We’re working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making. As part of this investment, they’re creating a new analytics function focused on supporting key commercial initiatives across pricing, promotions, product strategy and trading performance.

This is a fantastic opportunity to shape a new capability, influence senior stakeholders, and deliver insights that have a direct impact on business performance.

The Role

• Develop and lead the analytics strategy across commercial performance initiatives.

• Build forecasting, optimisation and commercial modelling capabilities.

• Deliver actionable insights to support pricing, promotions, product and trading decisions.

• Partner with senior stakeholders to influence strategic decision-making.

• Help establish and grow a high-performing analytics function.

What We’re Looking For

• 7+ years’ experience in Analytics, Data Science or Commercial Analytics.

• Strong SQL and Power BI (or a similar data visualisation tool).

• Python experience is advantageous.

• Experience within retail, consumer, e-commerce or another high-volume commercial environment.

• Strong background in pricing, promotions or commercial analytics.

• Previous people management experience with a track record of building or developing analytical capability.

What’s on Offer

• Up to £85,000 + benefits.

• Hybrid working (2 days per week in Central London).

• 1-year fixed-term contract with strong potential to become permanent.

• Opportunity to play a key role in building a new analytics capability within a growing data function.

Find out more and apply via the link below!

To Apply for this Job Click Here

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Overview

Senior AI Product Engineer

A fast-growing B2B software company is investing heavily in the next generation of AI-driven automation and is hiring experienced AI engineers to build customer-facing autonomous systems. The organisation has already introduced AI-powered capabilities across its platform and is now focused on developing intelligent agents capable of executing complex workflows, making decisions, and driving business outcomes with minimal user intervention.
This is a hands-on engineering role for individuals who have successfully built and deployed production AI systems. Engineers will work within small, high-impact teams responsible for developing new agentic capabilities from the ground up while collaborating closely with product and platform stakeholders.
The environment is fast-paced, ownership-driven, and well-suited to engineers who enjoy solving ambiguous problems and delivering new products at scale.

Key Responsibilities

• Design, build, and deploy production-grade AI agents and autonomous workflows.
• Own AI-powered features from concept through launch, monitoring, and optimisation.
• Develop scalable architectures that support agent orchestration, tool usage, evaluation, and continuous improvement.
• Collaborate with product, engineering, and platform teams to create consistent AI experiences.
• Define and implement testing, evaluation, and monitoring frameworks for AI applications.
• Build customer-facing AI solutions that automate complex business processes and decision-making workflows.
• Contribute to shared AI infrastructure, agent platforms, and reusable frameworks.
• Drive technical decisions across system design, reliability, scalability, and operational excellence.

Required Qualifications
Core Requirements

• Proven experience building and shipping customer-facing AI products in production environments.
• Strong understanding of the full AI application lifecycle, including:
• Prompt engineering
• Evaluation methodologies
• Iteration and optimisation
• Reliability testing
• Debugging and observability
• Strong software engineering background with experience in backend or full-stack development.
• Demonstrated ownership of systems from design through deployment and ongoing support.
• Proficiency in Python and/or TypeScript.
• Experience creating evaluation frameworks and measuring AI system quality in production.
• Ability to clearly explain architectural decisions, trade-offs, and outcomes.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Experience using agent frameworks, orchestration platforms, or foundation model tooling.
• Familiarity with multi-agent systems, tool calling, workflow orchestration, and autonomous execution patterns.
• Experience working within startup or high-growth technology environments.
• Exposure to cloud-based AI service ecosystems and large-scale AI deployments.

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