Solution Architect, Forward Deployed AI
- Salary
- CA$150K–CA$200K
- Hiring from
- Canada
- Work type
- Remote
- Posted
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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
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$150,000-CA$200,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
Remote in Canada
