We are looking for an AI Solution Architect to join our team.

This role is a great fit for someone who enjoys guiding teams through the practical realities of building and validating AI-driven systems.

You'll work closely with both technical and business stakeholders, helping bridge the gap between emerging AI capabilities and real-world application.

If you're motivated by hands-on experimentation paired with clear, structured advisory work, this position offers a strong opportunity to contribute meaningfully

Responsibilities

Provide practical guidance on agent development, including model and tool selection, deployment approaches, evaluation methods, and ongoing monitoring

Evaluate RAG/GraphRAG approaches, chunking strategies, retrieval methods, re-ranking techniques, and vector-store options alongside the architect, implementing only the approach confirmed in the agreed validation plan

Define golden datasets, quality thresholds, and regression tests using approved, controlled test data that excludes personal information

Build the agreed nonproduction agent workflow in Python when readiness and capacity allow, including its associated tools and a single API/system integration

Test success paths, error handling, and permission scenarios, documenting quality outcomes, usage costs, limitations, and any remaining gaps

Draft a workflow deployment and reuse blueprint along with engineering playbooks, covering semantic/context handling, identity management, permissions, and autonomy controls

Explain AI-assisted development approaches and agent tooling decisions clearly to business users, engineering teams, and the AI team

Document practical examples and lead walkthroughs, with advisory work covering production-grade lifecycle guidance,



while actual production deployment and ongoing operations fall outside this scope

RequirementsA minimum of 5 years of relevant experience

At least 2 years in Senior, Lead, Manager, or Owner-level roles

Proven track record managing engagements for teams of 5 or more full-time employees

Hands-on experience in AI agent development, including design, deployment, and iteration

Working knowledge of Amazon Web Services for supporting cloud-based AI solutions

Experience in GenAI agent evaluation and testing to ensure quality, reliability, and performance

Strong proficiency in Python for building and testing AI-driven workflows

Solid understanding of REST APIs for enabling system and tool integrations

Practical experience with Retrieval-Augmented Generation (RAG) for grounding AI outputs in relevant data

Professional proficiency in English (C1)Nice to have

Experience with AWS Bedrock for building and deploying generative AI solutions

Familiarity with Amazon Bedrock Agent

Core for supporting agent orchestration and management

Background working with Mule

Soft for enabling system integrations

Relevant certification, which would be considered a valuable addition to your qualifications

We offer

International projects with top brands

Work with integral 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 Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 AI Solution Architect (Argentina)
🏢 EPAM Systems
📍 Argentina