Solution Architect (Agentic AI, GenAI, Custom Development)
Capgemini is hiring a Solution Architect in Gdańsk, Poland, to design AI-powered (Agentic AI, GenAI, RAG) and custom enterprise solutions, lead pre-sales, bids, and client workshops, and build reusable AI architectures. Requires 10+ years in software architecture, hands-on LLM/RAG/agentic experience, and cloud expertise (Azure, AWS, or GCP).
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 10+ years of experience in software engineering and architecture, including client-facing solutioning, pre-sales, or principal architect roles
- Proven track record of winning and delivering complex, high-value engagements, including proposal defence
- Hands-on AI/GenAI experience with LLMs, RAG patterns, and agentic workflows in production or near-production environments
- Solid architectural background in enterprise software; designing distributed, scalable solutions and integrating AI components
- Cloud-native and hybrid architecture experience across Azure, AWS, or GCP (containers, Kubernetes, CI/CD, security, cost management), ideally with AI/ML workloads
- Experience in bids and commercial shaping: scope, effort estimation, risk identification, pricing assumptions
- Comfortable working at the intersection of business and technology; structuring vague problems
- Strong stakeholder management skills with senior business stakeholders and engineering teams
- Fluent English (C1+) for client-facing and proposal contexts
Nice to have
- Experience in regulated or sovereignty-sensitive industries (financial services, public sector, defence, energy, healthcare) and on-prem/sovereign AI deployments
- Public visibility: conference talks, whitepapers, open-source contributions, community leadership
- Hyperscaler architect/specialty certifications (Azure, AWS, GCP) and/or AI-specific credentials
- Experience scaling a practice or capability and building reusable assets
Full description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your role
As a Solution Architect Agentic AI / GenAI, you define how we design, position, and deliver AI‑powered and custom-built solutions across our most strategic engagements. You act as a trusted advisor to clients and internal stakeholders, shaping opportunities from early qualification through deal closure into successful delivery. With Agentic AI and GenAI at the core, you translate complex, ambiguous business challenges into scalable, enterprise‑grade architectures across cloud and on‑prem environments. You lead the technical narrative in bids, RFPs, executive discussions, and client workshops, influencing both solution design and commercial strategy. Beyond individual deals, you help shape Capgemini’s AI and custom development offerings — creating reference architectures, reusable assets, and go‑to‑market propositions. This role offers real ownership, strong exposure to senior client stakeholders, and direct impact on how we build and grow our AI business.
Your tasks
- Lead solutioning and win strategic AI and custom development engagements — drive the technical narrative, define approach and architecture, and actively participate in proposal defence with clients.
- Shape commercially viable solutions — define scope, architecture, delivery approach, effort estimates, risks, and pricing assumptions in collaboration with sales and delivery teams.
- Design end-to-end enterprise architectures combining LLMs, agentic patterns, and RAG — including integration with existing systems, data flows, security, scalability, observability, and cost optimization.
- Ensure enterprise-grade AI governance — define guardrails, support model evaluation approach, and address compliance, security, and operational risks early in the solution design.
- Build and evolve GenAI offerings and reusable assets — contribute to reference architectures, reusable components (e.g. RAG patterns, accelerators), and help standardize delivery approaches.
- Lead client-facing activities — run workshops, support discovery phases, structure requirements, and translate business problems into architecture proposals and roadmaps.
- Contribute to broader custom development initiatives — support solutioning for modernization, cloud-native builds, and integrations, identifying where AI brings tangible value.
- Act as a trusted technical advisor — support clients across pre-sales and early delivery phases, and mentor architects and senior engineers through reviews, feedback, and hands-on guidance.