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Senior Marketing Analytics Consultant (MMM)
London | Inside IR35
This is an opportunity to play a key role in shaping marketing measurement and effectiveness for a leading digital business. You’ll work across media, marketing, and analytics teams to deliver actionable insights that optimise investment decisions and improve commercial performance in a fast-paced environment.
The Company
They are a well-established digital organisation operating across multiple marketing channels, with a strong focus on customer growth and commercial performance. Analytics sits at the heart of decision-making, helping teams understand the impact of marketing investment and optimise future strategy. Working cross-functionally, they combine data, marketing, and commercial expertise to drive measurable business outcomes.
The Role and Deliverables

• Lead marketing effectiveness and measurement initiatives, with a particular focus on Marketing Mix Modelling (MMM).
• Analyse above-the-line media performance and evaluate return on investment across marketing channels.
• Provide strategic recommendations on media spend, channel optimisation, and marketing performance.
• Support broader marketing analytics projects, including social media channel performance and optimisation.
• Partner closely with marketing stakeholders to translate analytical findings into clear business actions.
• Collaborate with another analyst in a fast-paced environment where priorities and requirements evolve quickly.

Your Skills & Experience

• Strong experience delivering marketing analytics, marketing science, or marketing effectiveness projects.
• Practical experience with Marketing Mix Modelling and measuring media effectiveness.
• Understanding of both brand and performance marketing channels, including above-the-line media.
• Experience working with marketing stakeholders and presenting insights to non-technical audiences.
• Background within eCommerce, digital, or consumer-focused environments.
• Ability to work effectively in a changing, fast-moving business environment.
• Experience gained either in-house or agency-side.
• Exposure to SQL and/or Python would be beneficial but is not essential.

How to Apply
If you have experience in marketing effectiveness, MMM, and stakeholder-facing analytics within a digital or eCommerce environment, please apply to learn more about this contract opportunity.

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MMM Consultant

Hybrid (2-3 days a week in the office)

London-based

£600 – 650 per day

Inside IR35

3-Month Contract

This is an opportunity to lead a high-impact marketing analytics programme for a large digital business. You’ll play a key role in shaping how marketing effectiveness is measured, helping senior stakeholders make informed investment decisions across a complex, multi-channel environment.

The Company

They are a well-established digital organisation operating across multiple marketing channels and customer touchpoints. Data and analytics sit at the heart of their decision-making, supporting growth, customer engagement, and commercial performance. Teams work collaboratively across marketing, product, finance, and data functions to drive measurable business outcomes. This contract role sits within a strategically important programme with strong visibility across the organisation.

The Role and Deliverables

• Lead the marketing analytics workstream, defining approaches to marketing measurement and effectiveness.
• Own and evolve marketing mix modelling frameworks to evaluate the impact of media investment and business growth drivers.
• Provide broader marketing analytics support across brand, performance, and social media channels.
• Build and maintain robust datasets and reporting solutions using SQL.
• Partner closely with marketing, commercial, and finance stakeholders to translate insights into actionable recommendations.
• Work alongside another analyst to deliver dashboards, frameworks, and analysis that support ongoing marketing investment decisions.

Your Skills & Experience

• Strong experience leading marketing analytics, marketing science, or measurement initiatives within complex organisations.
• Deep expertise in marketing mix modelling and media effectiveness measurement.
• Strong SQL skills with the ability to manipulate, validate, and analyse large datasets.
• Experience supporting above-the-line and digital marketing channels, including TV, radio, print, and social media.
• Comfortable operating in fast-paced, ambiguous environments and managing shifting priorities.
• Strong stakeholder management skills, with the ability to communicate complex analytical concepts to non-technical audiences.
• Experience working cross-functionally with marketing, product, commercial, finance, and data teams.

How to Apply

Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

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Data Governance Contractor – Streaming Schema Governance
London | Outside IR35

This is an opportunity to play a key role in a major data transformation programme focused on establishing and embedding Kafka schema governance at scale. You will help shape governance frameworks, drive stakeholder alignment, and ensure robust controls are implemented across a complex streaming data environment. [Data

The Company

A leading financial services organisation currently building and scaling its enterprise event-streaming capability. As part of a major data transformation programme, the business is implementing Kafka schema governance from the ground up, creating the standards, controls and operating processes needed to support a large-scale Kafka estate of over 300 topics within a regulated environment.

The Role and Deliverables

• Establish and operate a Kafka schema governance framework covering schema quality, nullability, and lifecycle management.
• Facilitate agreement and ratification of schema governance rules, topic taxonomies, and operating standards.
• Define governance processes, including schema review gates, change control, exception management, and ownership models.
• Support onboarding and adoption of the governance framework through stakeholder engagement and guidance.
• Lead assessment and remediation activities across an existing Kafka estate, including schema compliance reviews and prioritisation of issues.
• Drive schema version governance, deprecation processes, and consumer migration activities through to completion.

Your Skills & Experience

• Strong experience delivering data governance or cloud governance programmes.
• Must-have experience with Kafka, including schema governance, schema registry, and data contract concepts.
• Experience working with Confluent Kafka, Avro, or comparable schema management technologies.
• Ability to translate governance, regulatory, or policy requirements into technical controls and operating frameworks.
• Strong stakeholder management skills with the ability to influence governance, architecture, engineering, and business teams.
• Experience producing governance documentation, process design, and audit-ready evidence.

How to Apply

If you have strong Kafka and Data Governance experience and are interested in a high-impact contract opportunity, please apply with your latest CV.

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Braze Martech Consultant

London/Bristol – Contract
This is an opportunity to join a leading customer engagement and marketing consultancy during a period of significant growth. You’ll play a key role in supporting a portfolio of well-known brands, combining hands-on Braze delivery with strategic Martech consulting to design and optimise customer experiences across multiple channels.

The Company

They are a specialist consultancy focused on CRM, customer engagement, and marketing technology. Working with a diverse client base, they help organisations deliver data-driven, personalised customer communications at scale. Due to increased demand across their client portfolio, they are seeking an experienced Braze Martech Consultant to support project delivery during a busy period.

The Role and Deliverables

• Design and deliver customer journeys across email, mobile push, and CRM channels using Braze.
• Build, optimise, and deploy sophisticated Braze campaigns, automations, and lifecycle programmes.
• Translate business and marketing requirements into scalable technical solutions and detailed specifications.
• Work directly with client stakeholders to understand objectives and define effective customer engagement strategies.
• Develop advanced Braze functionality, including segmentation, Liquid scripting, Content Catalogues, personalisation frameworks, and journey orchestration.
• Produce technical documentation and support the implementation of Martech solutions across multiple client accounts.

Your Skills & Experience

• Strong commercial experience delivering solutions within Braze.
• Proven ability to operate across both strategic consultancy and hands-on technical delivery environments.
• Experience designing and implementing end-to-end customer lifecycle and retention programmes.
• Strong knowledge of Liquid scripting, Content Catalogues, audience segmentation, and personalisation within Braze.
• Ability to translate complex business requirements into practical Martech solutions and technical specifications.
• Experience working directly with stakeholders and providing consultative guidance to clients.
• Strong understanding of CRM, customer engagement, and wider Martech ecosystems.
• Comfortable managing multiple projects and stakeholders simultaneously within a consultancy environment.

How to Apply
If you have strong Braze expertise and enjoy combining strategic consulting with hands-on delivery, apply today to discuss this contract opportunity further.

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Head of AI

Location: London (Hybrid)
Day Rate: £800-£1,000 per day (Outside IR35)
Contract Length: Initial 6 months with extension potential

About the Opportunity

We are partnering with a leading UK investment firm focused on scaling technology-enabled businesses across a diverse portfolio. As AI continues to become a key driver of value creation, they are looking for a senior AI leader to define and deliver an AI strategy across both the investment platform and portfolio companies.

This is a highly commercial role sitting at the intersection of data, technology, operations, and strategy. The successful candidate will help identify where AI can create measurable business value, drive adoption, and establish best practices across multiple businesses.

Responsibilities

• Define and execute the firm’s AI strategy across portfolio companies.
• Identify high-impact AI and machine learning opportunities that drive revenue growth, operational efficiency, and customer value.
• Partner with executive stakeholders, investment teams, and portfolio leadership to assess AI maturity and prioritise initiatives.
• Build AI roadmaps covering GenAI, predictive analytics, automation, decision intelligence, and emerging AI technologies.
• Lead AI governance, risk management, and responsible AI frameworks.
• Evaluate AI opportunities as part of investment due diligence processes.
• Establish best practices for MLOps, AI architecture, model deployment, and AI product development.
• Manage external vendors, consultancies, and specialist AI partners where required.
• Develop AI capability within portfolio businesses through coaching, training, and hiring support.

Required Experience

• Proven experience leading enterprise AI or data science functions.
• Strong track record delivering commercial AI solutions at scale.
• Experience working with senior executives and influencing business strategy.
• Deep understanding of Generative AI, LLMs, machine learning, and modern data platforms.
• Experience building AI operating models, governance frameworks, and adoption strategies.
• Background within private equity, consulting, technology, digital businesses, or fast-growth environments would be highly advantageous.
• Strong stakeholder management and communication skills.

Desired Technical Expertise

• Generative AI & LLMs (OpenAI, Anthropic, Gemini, open-source models)
• Machine Learning & Data Science
• MLOps & Model Governance
• Cloud Platforms (AWS, Azure, GCP)
• Vector Databases & RAG Architectures
• Data Engineering & Analytics Platforms
• AI Product Development
• Agentic AI & Workflow Automation

Success Metrics (First 6 Months)

• Complete an AI maturity assessment across the organisation and key portfolio businesses.
• Define and secure buy-in for a portfolio-wide AI strategy and operating model.
• Prioritise and launch 3-5 high-value AI use cases with clear commercial outcomes.
• Establish AI governance, risk, and compliance frameworks.
• Develop a repeatable framework for assessing AI opportunities during investment due diligence.
• Build relationships with portfolio leadership teams and create AI adoption roadmaps.
• Deliver demonstrable efficiency gains, cost savings, or revenue opportunities through initial AI deployments.

Why Consider This Opportunity?

• Opportunity to shape AI strategy across multiple high-growth businesses.
• Significant exposure to senior leadership and investment teams.
• Autonomy to build and execute an AI vision from the ground up.
• High-impact position focused on driving tangible business value from emerging AI technologies.

Rate: £800-£1,000 per day (Outside IR35)
Location: London (Hybrid)
Contract: Initial 6-month engagement with strong extension potential.

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ML/AI Engineer – Databricks Agentic AI

Remote, US

This is an opportunity to join a large enterprise organization building a multi-agent analytics platform that enables users to query data through natural language and receive trustworthy, explainable answers. You will help design and operate a system of cooperating LLM-powered agents that query data sources, run analysis, generate visualizations, and deliver production-grade insights at scale.

The Company

They are a large media and entertainment organization investing heavily in AI and analytics capabilities. As part of a broader transformation initiative, they are building intelligent systems that enable users to interact with complex data through natural language while maintaining enterprise-grade reliability, governance, and performance. This role sits within a highly technical team focused on delivering scalable, production-ready AI applications.

The Role and Deliverables

• Design and implement multi-agent workflows within a Databricks-based analytics platform, including planning, routing, tool calling, memory, and handoff between specialized agents.
• Build and maintain agent tools including data source connectors, retrieval pipelines, SQL generation and validation, visualizations, and result verification.
• Develop evaluation frameworks, testing suites, and regression tracking to improve quality and reliability.
• Improve answer accuracy and groundedness through guardrails, validation mechanisms, and explainability.
• Optimize for latency, cost, throughput, and production resilience.
• Partner with engineering, analytics, and product teams to deliver trusted AI-powered analytics experiences.

Your Skills & Experience

• Deep understanding of the Databricks platform, including hands-on experience with Databricks Apps, Databricks SDK, Databricks Asset Bundles, and Databricks APIs.
• Experience with Mosaic AI, Model Serving, Vector Search, MLflow, Unity Catalog, or similar Databricks-native capabilities.
• Strong experience building production AI, LLM, or agentic applications.
• Strong Python engineering skills and experience with frameworks such as LangGraph, OpenAI Agents SDK, or similar.
• Hands-on experience with tool calling, RAG, prompt engineering, and multi-agent architectures.
• Experience with agent evaluation frameworks, observability tooling, and production AI operations.
• Experience building and operating production services, APIs, CI/CD pipelines, and cloud-native applications.

If you have experience building production-grade agentic AI systems and deep expertise across the Databricks ecosystem, apply to learn more about the opportunity.

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Braze MarTech Consultant

Bristol | Flexible Working | Outside IR35 | £400-440/day rate | 6 week Contract

This is an opportunity to join a fast-paced digital consultancy on a short-term contract supporting a range of well-known consumer brands. The project offers a mix of hands-on Braze delivery, solution design, and strategic MarTech consulting, making it ideal for someone who enjoys both technical execution and client engagement.

The Company

They are a specialist customer engagement and digital consultancy that helps organisations maximise the value of their CRM and marketing technology platforms. Working across a diverse portfolio of clients, they deliver customer lifecycle programmes, marketing automation solutions, and personalised customer experiences. Their team places a strong emphasis on collaboration, communication, and delivering high-quality outcomes for clients.

The Role and Deliverables

• Deliver complex CRM and lifecycle marketing solutions using Braze.
• Design and build personalised customer journeys across email, push notifications, and app channels.
• Gather client requirements and translate business objectives into technical specifications for development teams.
• Use Liquid scripting within Braze to create and support advanced personalisation and campaign functionality.
• Evaluate data and MarTech infrastructure to recommend scalable customer engagement solutions.
• Support a variety of client projects, including platform implementations, customer journey optimisation, and CRM strategy initiatives.

Your Skills & Experience

• Strong hands-on experience with Braze in a delivery, consulting, or solution design capacity.
• Proven ability to build complex customer journeys and lifecycle marketing programmes.
• Experience working with Liquid scripting and advanced Braze functionality.
• Ability to create technical briefs and specifications for developers and technical stakeholders.
• Strong understanding of CRM, marketing automation, customer engagement, and MarTech ecosystems.
• Comfortable working directly with clients to gather requirements, provide recommendations, and deliver solutions.
• Experience assessing data structures, integrations, and platform scalability.
• Collaborative communication style with a proactive and responsive approach to project delivery.
• Availability to commit full-time throughout the contract period.

How to Apply

If you have strong Braze expertise and enjoy combining technical delivery with client-facing MarTech consulting, please apply with your latest CV for immediate consideration.

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Senior Product Owner / Product Manager – Clinical Claims Data Products

• $70-$75 per hour
• Remote but must be US based
• Initial 6-9 month contract

This is an opportunity to play a key role in modernising clinical claims data products for healthcare payer organisations. You will work at the intersection of claims analytics, medical groupers, payer operations, and AI-driven product innovation, helping stakeholders improve the transparency, governance, and business value of clinical claims classification frameworks.

The Company

They are a global analytics and AI consultancy that partners with enterprise organisations to solve complex business challenges through data, technology, and advanced analytics. Their healthcare practice supports payer clients with large-scale transformation initiatives across claims, clinical analytics, data products, and operational decision-making. You will join a collaborative environment that combines healthcare domain expertise with modern data and AI capabilities.

The Role and Deliverables

• Lead discovery workshops with business, clinical, actuarial, claims operations, compliance, analytics, and technology stakeholders to understand current claims classification and grouper workflows.
• Translate business and clinical requirements into BRDs, user stories, process maps, business rules, acceptance criteria, and validation documentation.
• Define requirements for clinical claims data products covering inpatient, outpatient, professional, ancillary, and pharmacy claims.
• Support baseline-to-target comparisons, variance analysis, business impact assessments, UAT planning, and migration readiness activities.
• Partner with data engineering, analytics, and AI/ML teams to define data mappings, quality standards, validation rules, and product requirements.
• Drive stakeholder alignment, governance processes, adoption readiness, and production transition planning for modernised claims data products.

Your Skills & Experience

• Strong experience within healthcare payer claims, claims analytics, medical economics, actuarial analytics, payment integrity, clinical coding, or healthcare data product delivery.
• Deep understanding of medical groupers, claims classification methodologies, service category logic, claims editing, or payer claims rule frameworks.
• Knowledge of healthcare claims and coding concepts including ICD-10, CPT, HCPCS, DRG, APC, modifiers, revenue codes, place of service, and 837/835 transactions.
• Ability to assess how claims classification impacts cost and utilisation reporting, provider analytics, value-based care, risk adjustment, actuarial reporting, and total cost of care analysis.
• Experience creating business requirements, process maps, decision tables, source-to-target mappings, testing documentation, and validation frameworks.
• Strong stakeholder management and workshop facilitation skills across clinical, actuarial, operational, compliance, analytics, and technology teams.
• Familiarity with platforms or methodologies such as Milliman, MedInsight, Solventum/3M, Optum, Cotiviti, CMS grouping logic, DRG/APC workflows, or similar healthcare claims solutions.
• Experience working alongside engineering, data, and AI/ML teams to deliver healthcare data products and analytics solutions.

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ANALYTICS ENGINEER

6-MONTH CONTRACT

£450-£550 PER DAY OUTSIDE IR35

This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You’ll play a key role in reshaping how data is modeled, accessed, and used across teams – all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.

THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They’re currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you’ll make a lasting impact on how data empowers the organisation.

THE ROLE
You’ll join the data team to lead the design and delivery of a new semantic layer in Looker. You’ll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You’ll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.

Your responsibilities will include:

• Ingest and migrate data sets into their AWS Snowflake platform.

• Designing and implementing dbt models that power clean, consistent metrics.

• Buidl out orchestartion pipelines using Airflow

• Creating clear documentation for dashboards, metrics, and models.

• Ensuring optimal performance and cost efficiency across Snowflake

• Supporting a stakeholder-first approach to data usability and access.

KEY SKILLS AND REQUIREMENTS

• Extensive experience operating within Snowflake environments

• Airflow for data orchestration.

• Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.

• Strong communication skills with the ability to translate complex needs into elegant data solutions.

• Focus on usability, documentation, and data clarity.

• Comfortable working independently in a dynamic, fast-changing environment.

DESIRABLE SKILLS

• Experience rebuilding or refactoring a Looker instance from scratch.

• Familiarity with Snowflake performance tuning and cost optimization.

• Experience scaling analytics across a cross-functional organisation

HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.

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AI Lead
New York City, Remote or Hybrid

This six-month contract offers the opportunity to shape and deliver innovative AI solutions within a fast-paced project environment. You will combine technical leadership with hands-on development, helping transform emerging AI capabilities into practical products, prototypes, and experiences.

The Company

They are an innovation-focused organization that partners with businesses to explore new opportunities through technology and product development. Their teams work across strategy, design, product, and engineering to solve complex challenges and bring new ideas to life. This project provides exposure to cutting-edge AI initiatives with a strong emphasis on practical delivery and experimentation.

The Role and Deliverables

• Lead the AI strategy and technical direction for a major innovation project.
• Design, build, and rapidly iterate AI-powered prototypes and experiences.
• Develop prompts, agents, AI workflows, and retrieval-augmented generation (RAG) solutions.
• Explore and implement agentic AI architectures, including orchestration and multi-agent approaches.
• Integrate AI solutions with APIs, workflows, and existing systems.
• Collaborate with multidisciplinary teams to move quickly from concept through to working prototypes while providing technical leadership throughout the engagement.

Your Skills & Experience

• Strong experience building Generative AI and LLM-powered applications.
• Proven capability in prompt engineering, prompt architecture, and AI workflow design.
• Experience developing AI agents and agentic workflows.
• Strong knowledge of retrieval-augmented generation (RAG) and AI application development.
• Experience with agent orchestration and multi-agent architecture patterns.
• Ability to evaluate AI technologies and select the most appropriate solutions for different use cases.
• Experience with Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, or similar AI development environments.
• Ability to communicate complex technical concepts effectively to non-technical stakeholders.

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Engineering Lead – AI & Emerging Technology

Contract Opportunity | 6-Month Engagement | 40 Hours/Week

Location: Hybrid (NYC Office)
Duration: 6 Months
Utilization: 40 Hours per Week
Rate: $110-$130/hr – W2

Overview

We are seeking an experienced Engineering Lead to drive the technical direction and delivery of an innovative AI-focused initiative. This is a hands-on leadership role requiring a strong combination of technical expertise, engineering judgment, and rapid prototyping capabilities.

The ideal candidate will have experience building and deploying AI-powered solutions, working closely with cross-functional stakeholders to transform emerging concepts into functional prototypes and interactive experiences. This role requires someone who enjoys experimenting with cutting-edge technologies while maintaining a practical approach to execution and delivery.

Responsibilities

• Lead the technical strategy and engineering execution for an AI and emerging technology initiative.
• Design and develop rapid prototypes utilizing technologies such as Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, and comparable AI development ecosystems.
• Build, test, and optimize AI agents, prompt frameworks, and agent-driven workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions that connect AI applications to enterprise data sources.
• Develop integrations between AI applications, APIs, workflows, and third-party systems.
• Create interactive prototypes, simulations, proof-of-concepts, and user experiences that demonstrate business value.
• Collaborate with product, design, strategy, and business stakeholders to evaluate technical feasibility and delivery approaches.
• Make sound architectural decisions balancing speed, scalability, maintainability, and innovation.
• Provide technical leadership and mentorship while remaining actively involved in hands-on development.
• Rapidly iterate solutions based on testing, stakeholder feedback, and evolving requirements.

Required Qualifications

AI & Microsoft Technology Stack

• Experience with Microsoft Copilot Studio
• Azure AI Services
• Azure OpenAI
• Microsoft Power Platform
• Comparable enterprise AI development platforms and tooling

AI Engineering & Application Development

• Prompt engineering and prompt design
• AI agent architecture and development
• Retrieval-Augmented Generation (RAG)
• LLM-based application development
• Workflow automation
• API development and integration
• Connecting AI applications with enterprise systems and data sources

Product Development & Prototyping

• Developing proof-of-concepts and functional prototypes under tight timelines
• Converting ambiguous concepts into tangible technical solutions
• Building interactive applications, simulations, or digital experiences
• Thriving in fast-paced environments with evolving requirements and priorities

Preferred Qualifications

• Experience with agent orchestration platforms and multi-agent architectures.
• Background in consulting, innovation labs, venture studios, product development organizations, or similar environments focused on rapid experimentation and iterative delivery.
• Experience evaluating emerging technologies and applying them to real-world business challenges.

Desired Attributes

We’re looking for someone who is:

• Hands-On: Actively engaged in architecture, development, and problem-solving.
• Innovative: Passionate about exploring emerging AI technologies and experimentation.
• Business-Oriented: Understands how technical solutions drive business outcomes.
• Pragmatic: Knows when to engineer for scale versus when to optimize for speed.
• Collaborative: Effective working across technical and non-technical teams.
• Adaptable: Comfortable operating in environments with evolving requirements.
• Technical Leader: Able to provide guidance, influence decisions, and build stakeholder confidence

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AI Lead

Harnham is partnering with a leading organisation to hire an AI Lead to drive the development of innovative AI-powered products and solutions.

• Role: AI Lead
• Location: Hybrid in NYC
• Rate: $110 – $130 per hour W2
• Length: 6 months
• Utilisation: 40 hours/week

The Role

You’ll lead the design, development, and delivery of AI solutions, combining strategic oversight with hands-on technical execution. Working across product, design, and engineering teams, you’ll turn AI concepts into working prototypes and scalable applications.

Key Responsibilities

• Define and lead AI strategy and technical direction.
• Design and build Generative AI and LLM-powered solutions.
• Develop AI agents, workflows, and orchestration frameworks.
• Build RAG solutions leveraging enterprise data sources.
• Evaluate emerging AI tools and technologies.
• Integrate AI solutions with APIs and business systems.
• Rapidly prototype and validate new concepts.
• Collaborate with cross-functional stakeholders to deliver business value.
• Provide technical leadership while remaining hands-on.

Requirements

• Demonstrated experience building GenAI and LLM applications.
• Expertise in RAG architectures and AI orchestration.
• Strong software engineering and API integration skills.
• Microsoft Copilot Studio.
• Azure AI and Azure OpenAI.
• Microsoft Power Platform.
• Experience delivering innovation or greenfield AI initiatives.

This is an excellent opportunity for an experienced AI Lead, AI Architect, or Applied AI Engineer looking to shape AI strategy and build impactful AI solutions in a fast-paced, innovation-focused environment.

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