AI Solution Architect

EPAM Systems Inc; México; A distancia; MXN 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

EPAM Systems Inc in Mexico seeks an experienced AI Solution Architect to drive hands-on design and validation of AI-powered systems, collaborating with technical specialists and business stakeholders to turn AI potential into practical outcomes.

The role focuses on guiding agent development, evaluating RAG approaches, establishing quality benchmarks, and building production-like Python workflows while ensuring robust system integration and clear advisory guidance for cross-functional teams.

Formación

• 8+ years of professional background in AI/solution architecture.
• 3+ years in senior, lead, manager, or owner-level positions.
• Direct experience building and refining AI agents (design, rollout, validation).
• Experience evaluating GenAI solutions and RAG implementations.
• Strong Python skills for workflow construction and validation.
• REST API integration across systems and tools.
• Proficiency in English (C1).
• Nice to have: AWS Bedrock, Bedrock AgentCore, MuleSoft experience.

Responsabilidades

• Provide hands-on guidance on agent development, model/tool choices, deployment strategies, evaluation methods, and monitoring.
• Assess RAG/GraphRAG options, chunking, retrieval, re-ranking, and vector-store decisions with the architect.
• Establish golden datasets, quality benchmarks, and regression tests using controlled data.
• Build the approved nonproduction agent workflow in Python when feasible, covering tools and a single integration point.
• Verify success scenarios, errors, and permission-related cases; document quality, cost, gaps.
• Draft a deployment blueprint and playbooks addressing semantic/context management and autonomy boundaries.
• Translate AI development methods for business users and engineers; provide walkthroughs and documented examples.

Conocimientos

AI agent development

Python

REST APIs

Retrieval-Augmented Generation (RAG)

English proficiency (C1)

Lead / manage teams

Herramientas

AWS Bedrock

Amazon Bedrock AgentCore

MuleSoft

Descripción del empleo

We're seeking an AI Solution Architect to come aboard our team. This opportunity suits someone who takes satisfaction in walking teams through the hands-on challenges of constructing and verifying AI-powered systems. You'll collaborate closely with technical specialists and business-side stakeholders alike, helping connect cutting-edge AI potential with practical, applied outcomes. For those energized by a mix of experimental work and structured advisory contributions, this role presents a genuine chance to add real value.ResponsibilitiesOffer hands-on direction regarding agent development, covering model and tool choices, deployment tactics, evaluation approaches, and continuous monitoringAssess RAG/GraphRAG options, chunking methods, retrieval techniques, re-ranking strategies, and vector-store alternatives together with the architect, moving forward only with the approach agreed upon in the validation planEstablish golden datasets, define quality benchmarks, and build regression tests relying on sanctioned, controlled test data free of personal informationConstruct the approved nonproduction agent workflow using Python whenever bandwidth and readiness allow, covering its tools and a single API or system integration pointVerify success scenarios, error conditions, and permission-related cases, capturing details on quality, cost of usage, known limitations, and outstanding gapsPut together a blueprint for workflow deployment and reuse alongside engineering playbooks, addressing semantic/context management, identity handling, permission structures, and autonomy boundariesBreak down AI-assisted development methods and agent tooling choices in terms accessible to business users, engineering staff, and the AI teamCreate documented examples and facilitate walkthrough sessions, with advisory scope extending to production-grade lifecycle guidance, excluding actual production rollout and day-to-day operationsRequirementsAt least 8 years of applicable professional backgroundA minimum of 3 years spent in Senior, Lead, Manager, or Owner-level positionsDemonstrated history managing engagements involving teams of 5 or more full-time staffDirect experience developing AI agents, spanning design, rollout, and refinementFamiliarity with Amazon Web Services in support of cloud-hosted AI solutionsBackground evaluating and testing GenAI agents to confirm quality, reliability, and consistent performanceAdvanced capability in Python for constructing and validating AI-based workflowsWorking familiarity with REST APIs to facilitate integration across systems and toolsHands-on background with Retrieval-Augmented Generation (RAG) to anchor AI outputs in relevant source materialProfessional proficiency in English (C1)Nice to haveBackground working with AWS Bedrock to construct and launch generative AI solutionsKnowledge of Amazon Bedrock AgentCore for assisting with agent coordination and managementExperience applying MuleSoft to support integration across different systemsRelevant 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 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.