Senior AI Consultant – Agentic AI & Generative AI
£60,000 - £80,000 base + bonus, training and a strong benefits package | Hybrid working | Office base of your choice: London, Manchester or Glasgow | Full time, permanent
If you want to build intelligent systems that actually make it into production not just proofs of concept that gather dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact.
You'll be part of a genuinely tech-obsessed team that experiments freely, works with the newest models and agentic frameworks, and regularly presents its work at major industry events and conferences. If you thrive on rapid prototyping, scaling AI products, and being trusted to explore what's next, you'll feel right at home.
What You'll Be Doing
Why You'll Want This Role
If you're a self-starting innovator who loves technology and wants to build the future, apply now with your latest CV. Interviews are moving quickly, so don't wait.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD.
£60,000 - £80,000 base + bonus, training and a strong benefits package | Hybrid working | Office base of your choice: London, Manchester or Glasgow | Full time, permanent
If you want to build intelligent systems that actually make it into production not just proofs of concept that gather dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact.
You'll be part of a genuinely tech-obsessed team that experiments freely, works with the newest models and agentic frameworks, and regularly presents its work at major industry events and conferences. If you thrive on rapid prototyping, scaling AI products, and being trusted to explore what's next, you'll feel right at home.
What You'll Be Doing
- Designing, developing, testing and deploying front-end and back-end components of GenAI and agentic applications within a data science and AI consulting team.
- Designing agentic workflows with HITL gates, auditability, policy controls and robust evaluation/monitoring suitable for regulated clients.
- Translating complex business challenges into AI-powered solutions using Generative AI, Agentic AI, data science and analytics.
- Collaborating with cloud architects, data scientists, product managers and business consultants to take ideas from concept to production.
- Supporting business development building AI demonstrators, contributing to proposals, RFPs, bids, client pitches and client events.
- Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications.
- Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable in a matrixed organisation and working directly with technical and non-technical client sponsors to shape requirements and build solutions.
- A track record of designing and developing full-stack applications across the entire lifecycle from early PoCs, through MVPs and testing, to secure, scalable, production-grade deployments.
- Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments.
- Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash.
- Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress plus AI product UX patterns such as streaming, review loops, provenance/citations, long-running tasks and error recovery.
- Back-end: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs.
- Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.
- Cloud and DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and cost controls.
- Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling.
- Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK.
Why You'll Want This Role
- A competitive base salary of £60,000 - £80,000 plus bonus and a comprehensive benefits package including training budget
- Hybrid working with your choice of a London, Manchester or Glasgow office base.
- Structured training, certifications and genuine investment in your career development.
- Freedom to experiment with cutting-edge models and frameworks and see your work go live in the real world.
If you're a self-starting innovator who loves technology and wants to build the future, apply now with your latest CV. Interviews are moving quickly, so don't wait.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD.
