We are seeking an AI Solution Architect to design and lead the build of a governed AI platform and agentic delivery factory that improves engineering throughput with strong security, quality gates, and cost controls. You will guide architecture decisions, co-build the platform with engineers, and ensure a smooth handover so the organization can run and extend it independently. Responsibilities Define the reference architecture for a governed AI platform and agentic delivery factory Run architecture working sessions to align component ownership and platform boundaries with stakeholders Design core platform capabilities including agent runtime, gateways, marketplaces, secrets, telemetry, observability, and cost controls Decide and document build-versus-managed approaches and secure approval at key governance gates Own the security model with security, DevOps, and IT partners including SSO, token handling, and least-privilege policies Design guardrails for agent actions across code, pipelines, and sensitive data workflows Define agentic PDLC orchestration across planning, specification, build, verification, review, and release with human gates Integrate orchestration with Azure DevOps using work item triggers, CI hooks, and approval workflows Define the context layer for agents including repo maps, conventions, decision records, and testing and security standards Set up agent evaluations in CI and define thresholds for supervised, shadow, and autonomous promotion Define publishing rules for agent and plugin marketplaces including ownership, versioning, and review requirements Set token budgets and usage limits and provide clear visibility into cost per agent and per work item Lead and mentor two AI-native engineers through design reviews, pull request reviews, and targeted hands-on coding Deliver a hardened platform with runbooks and complete operational handover by the end of the engagement Requirements 2+ years of experience in AI architecture and solution design for production platforms Hands-on architecture leadership experience guiding engineers through design and delivery decisions Strong project ownership skills to drive build-versus-managed decisions and obtain stakeholder sign-off Strong cloud platform knowledge for AWS-based architectures and services integration Strong DevOps integration skills with Azure DevOps repos, boards, and CI/CD pipelines Strong security and identity knowledge including SSO patterns, token management, and least-privilege access Strong communication skills to explain trade-offs clearly to senior technical and executive stakeholders Upper-Intermediate English proficiency (B2) Nice to have AWS Bedrock experience for model access and governance [GTS] Benefits (generic, except India) International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Job description provided by EPAM Systems.
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