Architect / Principal Software Engineer — AI Solution Engineering

EPAM Systems, Inc.; Colombia; A distancia; COP 180.000.000 - 320.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling and certifications

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

EPAM Employee Groups

Descripción de la vacante

EPAM Systems, Inc. is seeking an Architect/Principal Software Engineer to shape technical direction for AI engineering pods.

You will balance architecture, standards, and mentorship with prototyping workflows and reviewing code to ensure reliability, speed, and security. This hands-on role emphasizes building backend AI services, defining orchestration patterns, and enforcing security and observability standards.

Formación

• 10+ years of software engineering experience building distributed backend systems.
• 6+ years of Python experience with FastAPI, AsyncIO, and modern typing.
• 3+ years of production LLM systems experience using LangChain and related agent frameworks.
• Hands-on solution architecture skills balancing cost, latency, and operability.
• Strong AWS experience with container and serverless services and managed AI offerings.
• Solid security fundamentals knowledge including OAuth 2.0, OIDC, and secret handling.
• Strong code review and mentorship skills supporting senior-level engineers.
• Clear cross-team communication skills with Product, Security, Data, and Infrastructure partners.
• Upper-Intermediate English proficiency (B2)

Responsabilidades

• Set architectural direction across multiple AI pods and document trade-offs across capability, cost, latency, and complexity.
• Design predictable multi-agent workflows with streaming responses, low latency, and robust error handling.
• Build backend AI services and reference implementations, spending 30%–40% of time writing and reviewing code.
• Define orchestration patterns and integration contracts for clean collaboration with frontend teams.
• Establish shared standards for Model Context Protocol servers, tool schemas, and context management.
• Partner with Security and Infrastructure to enforce least-privilege execution, tenant isolation, and secure secret handling.
• Define observability requirements and service-level objectives, including tracing for agent workflows.
• Mentor senior engineers through design reviews, technical guidance, and standards adoption.

Conocimientos

Python

FastAPI

AsyncIO

LangChain

Agent frameworks

AWS

Security fundamentals

Cross-team communication

English (B2)

Herramientas

OpenSearch

Pinecone

Qdrant

Descripción del empleo

We are looking for an Architect / Principal Software Engineer to build production-grade agentic systems and need a hands-on architect to set technical direction across AI engineering pods. You will balance architecture, standards, and mentorship with prototyping core workflows and reviewing code to keep systems reliable, fast, and secure.ResponsibilitiesSet architectural direction across multiple AI pods and document trade-offs across capability, cost, latency, and complexityDesign predictable multi-agent workflows with streaming responses, low latency, and robust error handlingBuild backend AI services and reference implementations, spending 30%–40% of time writing and reviewing codeDefine orchestration patterns and integration contracts for clean collaboration with frontend teamsEstablish shared standards for Model Context Protocol servers, tool schemas, and context managementPartner with Security and Infrastructure to enforce least-privilege execution, tenant isolation, and secure secret handlingDefine observability requirements and service-level objectives, including tracing for agent workflowsMentor senior engineers through design reviews, technical guidance, and standards adoptionRequirements10+ years of software engineering experience building distributed backend systems6+ years of Python experience with FastAPI, AsyncIO, and modern typing3+ years of production LLM systems experience using LangChain and related agent frameworksHands-on solution architecture skills balancing cost, latency, and operabilityStrong AWS experience with container and serverless services and managed AI offeringsSolid security fundamentals knowledge including OAuth 2.0, OIDC, and secret handlingStrong code review and mentorship skills supporting senior-level engineersClear cross-team communication skills with Product, Security, Data, and Infrastructure partnersUpper-Intermediate English proficiency (B2)REST API design experience defining stable integration contractsNice to haveModel Context Protocol server implementation experienceTerraform infrastructure-as-code experienceVector databases experience such as OpenSearch, Pinecone, or QdrantVector retrieval migration experience from legacy retrieval systemsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.