Lead AI Engineer

We’re hiring on behalf of a high-calibre cloud consultancy delivering cutting-edge AI and data solutions to enterprise clients across financial services, tech, and beyond. Known for its engineering-led mindset, minimal bureaucracy, and deep focus on quality, the company is rapidly scaling its AI capability—and looking for a  Lead AI Application Engineer  to help shape its next chapter.

This is a key technical leadership role for someone who wants to own architecture decisions  without stepping away from the keyboard .

As a  Lead AI Application Engineer , you’ll be responsible for the  end-to-end design and hands-on development  of GenAI applications. You’ll define architectural patterns, mentor engineers, and serve as the technical point of contact across multiple high-impact client projects. Your work will directly influence how advanced LLM-driven systems are deployed at scale across real-world enterprise environments.

You'll bridge deep technical knowledge with strategic impact—contributing code, guiding design, and leading delivery.

• Architect and deliver production-ready  Generative AI  solutions using LLMs and modern orchestration frameworks.
• Design scalable and maintainable systems incorporating  RAG architectures ,  vector databases , and  multi-agent orchestration  tools (e.g.  LangGraph ,  CrewAI ,  Bedrock Agents ).
• Lead technical decision-making across AI projects—ensuring robust design, performance, and security.
• Collaborate with engineering peers and client stakeholders to align technical solutions with business objectives.
• Contribute hands-on code across the full lifecycle—from PoC to deployment.
• Stay ahead of the curve on emerging trends in LLMOps, GenAI architecture, and AI tooling.
• Provide mentorship to engineers across data, AI, and platform disciplines.

• 5+ years  in AI/ML engineering, with at least  1–2 years  leading technical architecture in GenAI applications.
• Deep experience designing and building  end-to-end AI pipelines  using LLMs and foundation models.
• Proficiency in building  Retrieval-Augmented Generation (RAG)  systems and integrating vector databases like  Pinecone ,  OpenSearch , or  pgvector .
• Strong hands-on skills with  Python , AI orchestration frameworks (LangGraph, CrewAI, etc.), and AWS tools such as  Amazon Bedrock ,  S3 ,  Lambda , or  Databricks Mosaic AI .
• Familiar with MLOps practices, CI/CD, and production deployment of AI models.
• Skilled in model evaluation, prompt engineering, and working with human-in-the-loop paradigms.
• Excellent communicator—capable of translating complex ideas to both technical and business stakeholders.

• Experience leading small teams or mentoring engineers in delivery-focused environments.
• Knowledge of cloud security, model governance, or compliance in enterprise settings.
• Familiarity with MCP (Model Context Protocol), containerization, and serverless design patterns.
• Experience training or fine-tuning foundation models (LLMs or diffusion).

• Tech-led consultancy  – founded by engineers, built for engineers.
• Projects with  enterprise clients  solving real-world data and AI problems at scale.
• Collaborative culture with autonomy, ownership, and minimal red tape.
• Work with a team of top-tier engineers who genuinely love what they do.
• 85% remote  – with flexibility built in and a preference for people in Eastern Time.

• Salary:  $190K–$220K (DOE)
• Bonus opportunities  tied to presales and delivery impact
• Equity-like upside:  Phantom stock with 4-year vesting & evergreen rollover
• Benefits:  Health, dental, vision, and 401K with 4% match

If you're a  hands-on AI engineer with architectural experience , and want to help shape real-world GenAI systems—not just prototypes—we’d love to hear from you.

Submit your CV today and we'll be in touch to arrange a call.