AI Solution Architect

We're seeking an AI Solution Architect to come aboard our team. This opportunity suits someone who takes satisfaction in walking teams through the hands-on challenges of constructing and verifying AI-powered systems. You'll collaborate closely with technical specialists and business-side stakeholders alike, helping connect cutting-edge AI potential with practical, applied outcomes. For those energized by a mix of experimental work and structured advisory contributions, this role presents a genuine chance to add real value.

Responsibilities

• Offer hands-on direction regarding agent development, covering model and tool choices, deployment tactics, evaluation approaches, and continuous monitoring
• Assess RAG/GraphRAG options, chunking methods, retrieval techniques, re-ranking strategies, and vector-store alternatives together with the architect, moving forward only with the approach agreed upon in the validation plan
• Establish golden datasets, define quality benchmarks, and build regression tests relying on sanctioned, controlled test data free of personal information
• Construct the approved nonproduction agent workflow using Python whenever bandwidth and readiness allow, covering its tools and a single API or system integration point
• Verify success scenarios, error conditions, and permission-related cases, capturing details on quality, cost of usage, known limitations, and outstanding gaps
• Put together a blueprint for workflow deployment and reuse alongside engineering playbooks, addressing semantic/context management, identity handling, permission structures, and autonomy boundaries
• Break down AI-assisted development methods and agent tooling choices in terms accessible to business users, engineering staff, and the AI team
• Create documented examples and facilitate walkthrough sessions, with advisory scope extending to production-grade lifecycle guidance, excluding actual production rollout and day-to-day operations

Requirements

• At least 8 years of applicable professional background
• A minimum of 3 years spent in Senior, Lead, Manager, or Owner-level positions
• Demonstrated history managing engagements involving teams of 5 or more full-time staff
• Direct experience developing AI agents, spanning design, rollout, and refinement
• Familiarity with Amazon Web Services in support of cloud-hosted AI solutions
• Background evaluating and testing GenAI agents to confirm quality, reliability, and consistent performance
• Advanced capability in Python for constructing and validating AI-based workflows
• Working familiarity with REST APIs to facilitate integration across systems and tools
• Hands-on background with Retrieval-Augmented Generation (RAG) to anchor AI outputs in relevant source material
• Professional proficiency in English (C1)

Nice to have

• Background working with AWS Bedrock to construct and launch generative AI solutions
• Knowledge of Amazon Bedrock AgentCore for assisting with agent coordination and management
• Experience applying MuleSoft to support integration across different systems
• Relevant certification, which would be considered a valuable addition to your qualifications

Benefits

• 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