Solution Architect (Agentic AI, GenAI, Custom Development)

Our requirements

• 10+ years of experience in software engineering and architecture, including several years in a client-facing solutioning, pre-sales, or principal architect role.
• Proven track record of winning and delivering complex, high-value engagements — you have directly shaped solutions, led proposal defence, and influenced client decisions in competitive scenarios.
• Strong, hands-on experience in AI / GenAI — including practical use of LLMs, RAG patterns, and agentic workflows in production or near-production environments (not only PoCs).
• Solid architectural background in enterprise software systems — with proven ability to design distributed, scalable solutions and integrate AI components into existing application landscapes.
• Experience in cloud-native and hybrid architectures across Azure, AWS, or GCP — including containers, Kubernetes, CI/CD, security, and cost management, ideally with exposure to AI/ML workloads.
• Real experience in bids and commercial shaping — including defining scope, estimating effort, identifying risks, and contributing to pricing and commercial assumptions.
• Comfortable working at the intersection of business and technology — able to structure vague problems, push back when needed, and translate business needs into actionable architecture decisions.
• Strong stakeholder management skills — able to engage both senior business stakeholders and engineering teams, and translate between both worlds.
• Fluent English (C1+) with the ability to work in client-facing and proposal contexts.

Optional

• 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 — building reusable assets.

Your responsibilities

• 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.

About the project

What we offer

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

Benefits

• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• corporate sports team
• no dress code
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• redeployment package
• christmas gifts
• employee referral program
• charity initiatives
• free chat/call with a therapist
• Multisport card

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Polska