Live opening · Posted 23 hours ago
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Description supplied by the original job listing.
We are seeking an Architect / Principal Software Engineer to guide AI engineering teams while staying hands-on with core prototyping and reference implementations. You will shape reliable, secure, low-latency agentic systems and standards across pods.
Responsibilities
Set architectural direction across AI pods and decide trade-offs between capability, cost, latency, and operability
Design predictable multi-agent workflows and low-latency orchestration services for chat and automated tasks
Build backend AI services and reference implementations and define integration contracts with frontend teams
Review code and provide technical guidance to raise engineering quality across teams
Establish standards for Model Context Protocol servers, tool schemas, and context management practices
Partner with security and infrastructure teams to enforce least-privilege execution, tenant isolation, and secret handling
Define observability requirements and service-level objectives, including tracing and end-to-end monitoring
Requirements
8+ years of software engineering experience designing and operating distributed backend systems
5+ years of Python experience with FastAPI, AsyncIO, and modern typing practices
2+ years of production experience building LLM-powered systems using tools such as LangChain and AWS Bedrock
Hands-on experience with stateful agent frameworks such as LangGraph including state graphs, loops, and checkpointing
Proven leadership experience setting technical direction and mentoring senior engineers through design reviews
Strong project collaboration skills partnering with product, security, data, and infrastructure stakeholders
Solid AWS production experience with services such as EKS or ECS, Lambda, S3, Docker, and Bedrock
Strong REST API design skills including stable integration contracts and streaming response patterns
Strong security fundamentals including OAuth 2.0, OIDC, and secure secret handling
Clear communication skills with the ability to explain trade-offs on cost, latency, and operational complexity
English proficiency: B2 Upper-Intermediate
Nice to have
Model Context Protocol server implementation experience and tool discovery patterns
Terraform experience for production infrastructure automation
Vector database migration experience from legacy retrieval to OpenSearch, Pinecone, or Qdrant
Vector database design experience for retrieval pipelines and indexing strategies
We offer
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
Work arrangement
Yes
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