AI Solution Architect

EPAM Systems Inc; Argentina; Remote; ARS 1.500.000 - 2.100.000; Vollzeit

Benefits dieser Stelle

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning library access (22,k

Global career opportunities

Volunteer and community involvement

Zusammenfassung

EPAM Systems Inc is seeking an AI Solution Architect to guide teams through building and validating AI-driven systems, bridging emerging capabilities with real-world applications. You will collaborate with technical and business stakeholders, shaping deployment strategies and governance.

The role emphasizes hands-on experimentation alongside advisory work, with responsibilities spanning model/tool selection, evaluation, and lifecycle guidance for production-grade AI solutions.

Qualifikationen

• 5+ years of relevant experience.
• 2+ years in senior/lead/manager/owner roles.
• Hands-on experience in AI agent development (design, deployment and iteration).
• Proficiency with AWS cloud for AI solutions.
• GenAI agent evaluation and testing for quality and performance.

Aufgaben

• Provide practical guidance on agent development, including model/tool selection, deployment approaches, evaluation, and monitoring.
• Evaluate RAG/GraphRAG approaches and vector-store options with the architect; implement the chosen validation plan.
• Define golden datasets, quality thresholds, and regression tests using controlled data.
• Build nonproduction agent workflow in Python when ready, with its tools and a single API integration.
• Test success paths, error handling, permissions, and document outcomes, costs, limitations and gaps.
• Draft deployment/workflow blueprint and engineering playbooks covering semantics, identity, permissions, and autonomy controls.
• Explain AI development approaches clearly to business users and engineering teams; provide production-grade lifecycle guidance.

Kenntnisse

Python

REST APIs

RAG

GenAI

AI agent development

English (C1)

Tools

AWS

Bedrock

Bedrock AgentCore

MuleSoft

Jobbeschreibung

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 meaningfullyResponsibilitiesProvide practical guidance on agent development, including model and tool selection, deployment approaches, evaluation methods, and ongoing monitoringEvaluate 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 planDefine golden datasets, quality thresholds, and regression tests using approved, controlled test data that excludes personal informationBuild the agreed nonproduction agent workflow in Python when readiness and capacity allow, including its associated tools and a single API/system integrationTest success paths, error handling, and permission scenarios, documenting quality outcomes, usage costs, limitations, and any remaining gapsDraft a workflow deployment and reuse blueprint along with engineering playbooks, covering semantic/context handling, identity management, permissions, and autonomy controlsExplain AI-assisted development approaches and agent tooling decisions clearly to business users, engineering teams, and the AI teamDocument practical examples and lead walkthroughs, with advisory work covering production-grade lifecycle guidance, while actual production deployment and ongoing operations fall outside this scopeRequirementsA minimum of 5 years of relevant experienceAt least 2 years in Senior, Lead, Manager, or Owner-level rolesProven track record managing engagements for teams of 5 or more full-time employeesHands-on experience in AI agent development, including design, deployment, and iterationWorking knowledge of Amazon Web Services for supporting cloud-based AI solutionsExperience in GenAI agent evaluation and testing to ensure quality, reliability, and performanceStrong proficiency in Python for building and testing AI-driven workflowsSolid understanding of REST APIs for enabling system and tool integrationsPractical experience with Retrieval-Augmented Generation (RAG) for grounding AI outputs in relevant dataProfessional proficiency in English (C1)Nice to haveExperience with AWS Bedrock for building and deploying generative AI solutionsFamiliarity with Amazon Bedrock AgentCore for supporting agent orchestration and managementBackground working with MuleSoft for enabling system integrationsRelevant certification, which would be considered a valuable addition to your qualificationsWe 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 LinkedIn