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# Senior AI Consultant - Agentic AI & Generative AI

- **Company:** Deerfoot Recruitment Solutions Ltd
- **Location:** Glasgow, UK
- **Experience:** Expert
- **Salary:** £60,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, JavaScript (Programming Language), Artificial Intelligence, Microsoft Azure, Bash Shell, BigQuery, Cloud Computing, Cloud Storage, Software Quality, Databases, Information Engineering, DevOps, Django Web Framework, Github, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, Software Product Management, Rapid Prototyping Process, Role-Based Access Control, Next.js, SQL Databases, Data Streaming, TypeScript, Network Routers, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Tailwind, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Cypress (Programming Language), Generative AI, Firebase, Backend, Fastapi, Kubernetes, HuggingFace, Azure AKS, Machine Learning Operations, Celery, Front End Software Development, React Redux, Virtual Agents, Domain Driven Development, Restful APIs, Es2015, Docker
- **Published:** September 24, 2026
- **Apply:** https://itjobpro.co.uk/job/senior-ai-consultant-agentic-ai-generative-ai

## About the Role

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.You won't need every technology on this list. A strong engineering foundation, a good cross-section of these skills, and the curiosity to pick up new tools as projects demand is what really matters.

## Description

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.What You'll Bring, 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.


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