Remote AI Solution Architect for Production Systems

EPAM Systems Inc; Atlanta (GA); Remoto; USD 150.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

Dental Insurance

Vision Insurance

401k Plan

Paid Time Off

Employee Discounts

Stock Purchase Program

Descrizione del lavoro

EPAM Systems, Inc. is seeking a Solution Architect to lead production-grade AI architectures. The role requires collaborating with client business and engineering teams to design end-to-end RAG, agentic workflows, and MCP tool integrations while ensuring governance and observability.

You will build Python proofs, define migration from pilot to production, and maintain architecture integrity under governance constraints. Remote-friendly with enterprise-scale ambitions.

Competenze

• Client-facing solution architecture experience with AI solutions that reached production.
• Strong fundamentals in cloud computing, microservices, APIs, data flows, IAM, and integration patterns.
• Practical knowledge of LLM applications, RAG, agent frameworks, MCP tool calls, and agent orchestration.
• Recent hands-on Python coding to prototype and validate AI implementations.

Mansioni

• Partner with client teams to capture requirements and record architecture decisions.
• Design end-to-end AI solution architectures covering RAG, agentic workflows, MCP integration, IAM, and observability.
• Build Cloud FinOps cost models linking feature cost, usage, and business value.
• Document governance evidence for each agent including autonomy limits, permissions, and rollback controls.
• Develop domain knowledge graphs and apply GraphRAG for improved retrieval.

Conoscenze

Solution Architect experience

Cloud architecture

LLM apps knowledge

Python coding

Architectural documentation

Stakeholder comms

Strumenti

MCP tool integration

Descrizione del lavoro

EPAM Systems, Inc. is seeking a Solution Architect to lead production-grade AI architectures. The role requires collaborating with client business and engineering teams to design end-to-end RAG, agentic workflows, and MCP tool integrations while ensuring governance and observability.

You will build Python proofs, define migration from pilot to production, and maintain architecture integrity under governance constraints. Remote-friendly with enterprise-scale ambitions.