Agentic / GenAI Consultant / Senior Consultant
Role details
Job location
Tech stack
Job description
- 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 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 your peers in delivering at pace and meeting our own high internal standards of output and delivery.
As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
- Business Development - Using your full stack skillset to build AI Demonstrators to showcase to potential clients, contributing to proposals, RFPs, bids, client pitch contribution, 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 your career development and the skills demand within the company, certifications etc.
Requirements
Do you have experience in TypeScript?, Do you have a Master's degree?, * Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions.
- Experience of designing and developing full-stack applications across the application lifecycle, from building early PoCs, through to developing MVPs and testing them, to finally deploying a secure and scalable production-grade solution.
- A proven track record of successfully delivering solutions using traditional Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building
- GenAI And Agentic solutions, including data engineering in cloud environments.
- The ability to demonstrate the potential that AI has to offer to unlock business value.
Your Technical Expertise:
This list shows the technologies we work with most often. We don't expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand.
- Languages & Frameworks: Python (3.10+), TypeScript, 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: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.
- Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.
- Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.
- Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.
Benefits & conditions
At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role., We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.