Solution Architect, Forward Deployed AI

EPAM Systems; Canada; Remote; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Extended Healthcare with prescription,

Life and AD&D Insurance

Employee Assistance Program

Telehealth

Short-term Disability

Long-Term Disability

Paid Time Off

RRSP with Company match

Maternity/Parental/Adoption Leave Top‑

Employee Stock Purchase Program

Critical Illness Insurance

Employee Discounts

LinkedIn learning access

Job summary

EPAM Systems, Inc. is seeking a Solution Architect to lead AI-driven, secure production systems with client teams. You will design LLM, RAG, and agentic solutions, govern evaluation, and provide working code to prove decisions at scale.

You will collaborate with enterprise clients and EPAM teams to define architecture decisions, establish governance, and guide pilots from proof-of-concept to production, ensuring reliability and security.

Qualifications

• Client-facing solution architecture experience with AI or production-ready solutions.
• Strong cloud and microservice architecture fundamentals.
• Experience with LLM applications, RAG, and agent frameworks.
• Hands-on Python coding for prototyping and validation.
• Knowledge of AI governance, security controls, and observability.

Responsibilities

• Partner with client teams to resolve requirements and record architecture decisions.
• Design end-to-end AI solution architectures covering RAG, agentic workflows and MCP integration.
• Build Cloud FinOps cost models linking feature cost and business value.
• Document AI governance evidence including autonomy limits and rollback controls.
• Develop domain Knowledge Graph slices and apply GraphRAG for retrieval.
• Create Python references and proofs, guiding pilot-to-production transitions.

Skills

Client-facing architecture

Cloud computing

Microservice architecture

APIs & data flows

Identity & Access Management

Enterprise integration

LLM / AI integration

Python prototyping

MCP tool integration

Tools

MCP

Python

Job description

Turn AI pilots into secure, reliable production systems as a Solution Architect embedded with client business and engineering teams. You will design LLM, RAG, and agentic solutions, define governance and evaluation, and prove decisions with working code, helping enterprises adopt AI responsibly and at scale.

Lead at EPAM, where your expertise guides global change. Collaborate with top talent, influence cutting-edge solutions, and create a legacy in a company that values leadership, innovation, and growth.

Req.#1116590542

Responsibilities

• Partner with client business, product, engineering, security, and operations teams to resolve requirements and record architecture decisions

• Design end-to-end AI solution architectures covering RAG, agentic workflows and orchestration, Model Context Protocol (MCP) tool integration, Identity and Access Management, enterprise integration, LLM security, AI observability, and LLM evaluation

• Build Cloud FinOps cost models that link feature cost, usage, quality, and expected business value

• Document AI governance evidence for each agent, including autonomy limits, tool permissions, human checkpoints, evaluation and testing results, and rollback controls

• Model domain Knowledge Graph slices covering entities, relationships, business constraints, provenance, and owners, applying GraphRAG where relationships improve retrieval

• Build Python reference implementations and technical proofs with Forward Deployed Engineers, then preserve architecture integrity through the pilot-to-production transition under Architecture Governance and publish reusable patterns

Requirements

• Client-facing solution architecture experience with business software or AI solutions that reached production, at either Solution Architect I level (own a bounded design with senior review) or Solution Architect II level (independently lead a complete client AI solution)

• Strong fundamentals in cloud computing architecture, microservice architecture, APIs, data flows, Identity and Access Management, and enterprise integration patterns

• Practical knowledge of LLM applications, Prompt Engineering, RAG, AI agent frameworks, tool calling through MCP, and agent orchestration

• Recent hands-on Python coding to prototype, inspect failures, and validate AI-assisted implementation work

• Experience defining LLM evaluation, AI observability, LLM security controls, and production quality attributes, plus an understanding of AI Governance, including agent permissions, autonomy, human oversight, auditability, and enterprise risk

• Clear architecture documentation and strong communication with business and technical stakeholders, with comfort working on-site amid ambiguity (regulated-industry and Cloud FinOps exposure is a plus)

We offer

• Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)

• Life and AD&D Insurance (Company Paid)

• Employee Assistance Program (Company Paid)

• Telehealth (Company Paid)

• Short-term Disability (Company Paid)

• Long-Term Disability

• Paid Time Off (including vacation and sick days)

• Registered Retirement Savings Plan (RRSP) with Company match

• Maternity/Parental/Adoption Leave Top-up

• Employee Stock Purchase Program

• Critical Illness Insurance

• Employee Discounts

• Unlimited access to LinkedIn learning solutions

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.