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Agentic​/GenAI Consultant​/Senior Consultant

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Consultancy.uk
Full Time position
Listed on 2026-01-31
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Job Description & How to Apply Below
Position: Agentic / GenAI Consultant / Senior Consultant

Overview

At Capgemini Invent, we blend strategic, creative and scientific capabilities to deliver transformation. We invite inventive transformation consultants to collaborate with clients to address today’s challenges with solutions informed and validated by science and data, and powered by creativity, design and purposeful technology.

Location

London, Manchester, Glasgow

Benefits

Competitive benefits

Functional area

s

Corporate Governance, Ecommerce, Lean & Six Sigma, Management, Mergers & Acquisitions, Mobile & Apps

Role

We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it.

Your

Responsibilities
  • Designing, developing, testing, and deploying both front-end and back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions.
  • Collaborating with cloud architects, data scientists, product managers, and business consultants to bring ideas to production.
  • Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation/monitoring suitable for regulated clients.
  • Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards.
  • Working effectively in a team, supporting peers in delivering at pace and meeting high internal standards of output and delivery.
Role – Business & Growth Contributions
  • Business Development – Build AI Demonstrators, contribute to proposals, RFPs, bids, client pitch contributions, and client hosting at events.
  • Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
  • Learning & development – Training to support career development and certifications.
Your Profile

We’d love to meet someone with:

  • Experience in a major consulting firm and/or industry with a consulting mindset, proven ability to operate in a matrixed organization, and ability to enlist support from peers to sell and deliver solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build solutions.
  • Experience designing and developing full-stack applications across the lifecycle, from PoCs through MVPs, testing, and deployment of secure production-grade solutions.
  • Proven track record delivering solutions using traditional ML, Generative AI, and Agentic AI frameworks in client-facing environments.
  • GenAI and Agentic solutions experience, including data engineering in cloud environments.
  • The ability to demonstrate the potential of AI to unlock business value.
Your Technical Expertise

This list shows technologies we work with most often. A strong foundation and the adaptability to learn new tools is what matters, not the full set below.

  • Languages & Frameworks:
    Python (3.10+), Type Script, JavaScript (ES6+), SQL, Bash
  • Frontend:
    React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress
  • Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery)
  • Backend:
    Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask, RESTful APIs
  • Databases & Storage:
    Postgre

    SQL, MS SQL Server, Mongo

    DB, Firestore, Big Query, Azure Blob Storage
  • Cloud & Dev Ops:
    Azure, GCP, Docker, Git Hub Actions, Azure Dev Ops, RBAC and Cost Controls
  • Software Engineering:
    Clean Code, DDD, modular architecture, TDD, code quality tools
  • AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or Huggingface), Lang Smith, Tru Lens
  • Agentic Frameworks (Desirable):
    Lang Chain, CrewAI, Autogen, OpenAI Agents, Google ADK
What You’ll Love About Working Here

We’re…

Position Requirements
10+ Years work experience
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