Senior Solution Architect

About the Position

We are seeking a Senior Solution Architect to design AI-native applications for large clients, focusing on architecture decisions and system integration. This role is fully remote within the USA.

Responsibilities

• Design end-to-end architectures for AI-native solutions: orchestration, retrieval, tool and system integration, agent autonomy and guardrails, identity and authorization, evaluation, observability, and cost model
• Fit each solution exactly to the business scope - no more, no less - and be able to explain what you deliberately left out and why
• Turn incoherent or contradictory requirements into explicit business decisions: surface them, reframe them in business terms, price the options, and get a named owner to decide
• Make and document architectural trade-offs (build vs buy, model selection, retrieval strategy, autonomy level, cost vs quality) in a form that stakeholders can challenge and future teams can trust
• Define the evaluation strategy for each system: how we will know that an assistant or agent fits the business scope, not just that it produces fluent output
• Author the constraints, guidelines, and architectural fitness functions that engineering teams and coding agents build within, and revise them as the organization learns what generation gets wrong
• Decide where humans must stay in the loop - regulated decisions, data of record, security boundaries, anything with legal or contractual consequence
• Work within EPAM delivery teams and in presales: shape proposals, present options and costs to client executives, and review designs across teams
• Build proofs of concept and reference implementations when, and only when, a decision needs evidence or a team needs an example of "good"
• Contribute to EPAM's AI architecture practice: reference architectures, reusable patterns, and mentoring architects who are transitioning into AI-native design

Requirements

• You have architected AI-native systems in production - RAG, assistants, agents or agentic workflows with real users or real business processes behind them - and you held architect-level responsibility for the system around the model
• You are a proven solution or software architect with a strong production track record who has started building with AI on your own initiative in the last year or so - a side project, a proof of concept, an internal tool, published writing - and wants to make AI-native design the center of your work
• Solid experience as a solution, software, or enterprise architect with delivery accountability: systems you designed that shipped, ran, and were maintained over time
• Depth in distributed systems, integration, cloud, and data-flow architecture at enterprise scale
• Demonstrated ability to work with ambiguous, conflicting requirements and to make trade-offs explicit rather than resolving them silently
• Experience presenting options, costs, and risks to non-technical decision makers and getting decisions made
• A habit of writing things down: architecture decision records, design documents, reference architectures that other teams built from
• Recent hands-on coding ability, enough to prototype and to keep your constraints honest
• Understanding of how AI-assisted development changes the architect's role: what to specify, what to evaluate, and where to keep human judgment

Nice to Have

• Experience in regulated industries - financial services, healthcare and life sciences, insurance
• Agent frameworks, tool and function calling, MCP, orchestration patterns, LLM observability
• Identity and authorization for agentic systems (OAuth 2.1, SPIFFE, AuthZEN, DPoP)
• Ownership of cost and token economics for a production AI system
• Consulting or pre-sales experience
• Published writing, talks, or open-source contributions on AI architecture

We Offer

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program