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Added 8 mins ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Establish best practices for testing, monitoring, deployment, rollback, access control, security, and governance across Jira, application, integration, and AI solutions.
Added 8 mins ago
NS
Senior Site Reliability Engineer – Adobe Cloud & Edge Delivery
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer focused on CDN, edge delivery, web performance, and reliability for a high-traffic, public-facing enterprise web platform. The role…
Added 38 mins ago
AS
Senior Full Stack Developer - Azure
Ardent SoftSol Inc.
Calgary, AB
- Contract
…applications across the full stack. This role combines hands on software engineering with cloud infrastructure, CI/CD, security, and engineering…
Added 38 mins ago
AS
DevOps Engineer (Azure)
Ardent SoftSol Inc.
Calgary, AB
- $58 to $63 CAD / hour
- Contract
This job posting is for an existing, active vacancy and we are looking for GitOps Administrator / DevOps Engineer (Azure) immediately with experience in GitOps DevOps , Azure
Added 1 hour ago
QI
Staff ASIC Verification Engineer, Low Power AI
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
We are looking for a Staff ASIC Verification Engineer to be part of our team to innovate and design complex leading, ultra-low power, solutions for audio and AI/context aware applications.
Added 1 hour ago
QI
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon…
Added 1 hour ago
Q
DSP Application Engineer, Principal
Qualcomm
Ottawa, ON
- Full-time
…connected future for all. As a Qualcomm Hardware Application Engineer, you will provide technical expertise of hardware through trainings, product demonstrations, and the design, debug,…
Added 5 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…constraints that shape what gets built, whether the builder is an engineer or an AI coding…
Added 6 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 8 hours ago
OI
Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
Added 8 hours ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
Added 10 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 12 hours ago
DE
SYSTEMS ENGINEER
Design Electronics
Niagara Falls, ON
- Full-time
Reporting to the Chief Design Officer, the Systems Design Engineer will be the technical expert responsible for pre-sales, design/build, sales support, and quality assurance.
Added 12 hours ago
TT
Senior/Staff Software Engineer
True Talent Solutions Partners
Canada
- $210,000 to $260,000 USD / year
- Full-time
At least 6 years of full-stack software development experience, including technically complex work at a senior or staff level.
Added 13 hours ago
K
Senior Software Engineer, Payments
Kindsight
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
We are seeking a Senior Software Engineer, Payments to join a newly forming Payments Engineering team and take meaningful ownership of Kindsight's next-generation Payments Platform.
Added 13 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 13 hours ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
…down innovation. This is a "wear-many-hats" role perfect for a security-minded builder who enjoys working across the entire stack - from hardening infrastructure and automating workflows to…
Added 13 hours ago
X
Cloud Engineer
Xanadu
Toronto, ON
- Full-time
As a Cloud Engineer, you will contribute to the cloud platform and the infrastructure which hosts all our internal projects workloads. You will work on a team to support and maintain…
Added 13 hours ago
X
Senior Network Engineer
Xanadu
Toronto, ON
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
Added 17 hours ago
S
DevOps Engineer
Synechron
Halifax, NS
- $110,000 to $115,000 CAD / year
- Full-time
…Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development…
Added 18 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Developer (Engineer) to join our dynamic team. This role is instrumental in establishing a robust data foundation for Contact Distributor, our…
Added 20 hours ago
TI
Cyber Security Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 21 hours ago
CE
Mechanical engineer
Candu Energy Inc.
Mississauga, ON
- $124,000 to $135,000 CAD / year
- Full-time
- Hybrid
Registration as a Professional Engineer (P. Eng.) by a provincial or territorial association
Added 21 hours ago
R
Founding DevOps/SRE Engineer
Requesty
London, ON
- Full-time
You understand that how to build security practices into systems in a way that protects the users but doesn't slow them down.
Added 23 hours ago
GE
Applications sales engineer
GE Energy Power Conversion Canada Inc
Peterborough, ON
- $117,300 to $167,300 CAD / year
- Full-time
- Hybrid

EPAM Systems

AI Architect

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 28, 2026

Original job description

Enterprises are past the point of asking whether AI belongs in their systems. The question now is which AI capabilities should exist, how much autonomy each one earns, how they integrate with systems of record and real business processes, and how anyone will know they are working. Answering those questions well, and writing the answers down so that engineering teams and coding agents can build against them, is the AI Architect's job.

You will design the target architecture of AI-native applications, Enterprise AI and Applied AI solutions for large clients across industries, from assistants and RAG systems to agents, agentic workflows and autonomous components. You will decide what the system should do and, just as importantly, what it should not. You will define the evaluations, guardrails, and constraints that shape what gets built, whether the builder is an engineer or an AI coding agent.

This is an architecture role. The output is decisions, structure, and the reasoning behind them- AI, not code volume. You will still prototype when a decision needs evidence, but most of your time goes to framing problems, resolving conflicting requirements, making trade-offs explicit, and getting the right people to own them.

Req# 1090267686

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Responsibilities

Design end-to-end architectures for AI-native solutions: orchestration, retrieval, tool and system integration, agent autonomy and guardrails, identity and authorization, evaluation, observability, and cost model
Fit each solution exactly to the business scope AI no more, no less AI and be able to explain what you deliberately left out and why
Turn incoherent or contradictory requirements into explicit business decisions: surface them, reframe them in business terms, price the options, and get a named owner to decide
Make and document architectural trade-offs (build vs. buy, model selection, retrieval strategy, autonomy level, cost vs. quality) in a form that stakeholders can challenge and future teams can trust
Define the evaluation strategy for each system: how we will know that an assistant or agent fits the business scope, not just that it produces fluent output
Author the constraints, guidelines, and architectural fitness functions that engineering teams and coding agents build within, and revise them as the organization learns what generation gets wrong
Decide where humans must stay in the loop AI regulated decisions, data of record, security boundaries, anything with legal or contractual consequence
Work within EPAM delivery teams and in presales: shape proposals, present options and costs to client executives, and review designs across teams
Build proofs of concept and reference implementations when, and only when, a decision needs evidence or a team needs an example of "good"
Contribute to EPAM's AI architecture practice: reference architectures, reusable patterns, and mentoring architects who are transitioning into AI-native design

Requirements

You have architected AI-native systems in production AI RAG, assistants, agents or agentic workflows with real users or real business processes behind them AI and you held architect-level responsibility for the system around the model
You are a proven solution or software architect with a strong production track record who has started building with AI on your own initiative in the last year or so AI a side project, a proof of concept, an internal tool, published writing AI and wants to make AI-native design the center of your work
Solid experience as a solution, software, or enterprise architect with delivery accountability: systems you designed that shipped, ran, and were maintained over time
Depth in distributed systems, integration, cloud, and data-flow architecture at enterprise scale
Demonstrated ability to work with ambiguous, conflicting requirements and to make trade-offs explicit rather than resolving them silently
Experience presenting options, costs, and risks to non-technical decision makers and getting decisions made
A habit of writing things down: architecture decision records, design documents, reference architectures that other teams built from
Recent hands-on coding ability, enough to prototype and to keep your constraints honest
Understanding of how AI-assisted development changes the architect's role: what to specify, what to evaluate, and where to keep human judgment

Nice to have

Experience in regulated industries AI financial services, healthcare and life sciences, insurance
Agent frameworks, tool and function calling, MCP, orchestration patterns, LLM observability
Identity and authorization for agentic systems (OAuth 2.1, SPIFFE, AuthZEN, DPoP)
Ownership of cost and token economics for a production AI system
Consulting or pre-sales experience
Published writing, talks, or open-source contributions on AI architecture

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

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.

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.

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

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More about this job

Responsibilities

Design end-to-end architectures for enterprise AI solutions, defining integrations, autonomy, guardrails, evaluation, observability, security, and cost models. Resolve and document business and technical trade-offs, guide delivery teams and clients, create evidence-driven prototypes when needed, and contribute reusable architecture patterns and mentoring.

Requirements

Requires production experience architecting AI-native systems and a strong track record as a solution, software, or enterprise architect accountable for systems that shipped and were maintained. Candidates should have enterprise-scale architecture depth, recent hands-on coding ability, and the ability to document decisions, navigate ambiguity, and communicate options, costs, and risks to non-technical stakeholders.

Skills

AI Architecture
Solution Architecture
Software Architecture
Enterprise Architecture
AI-Native Systems
Retrieval-Augmented Generation
AI Assistants
AI Agents
Agentic Workflows
Distributed Systems
Cloud Architecture
Systems Integration
AI Evaluation
Guardrails and Observability
Identity and Authorization
Prototyping

Benefits

Extended Healthcare
Prescription Drug Coverage
Dental Insurance
Vision Insurance
Healthcare Spending Account
Life Insurance
Accidental Death and Dismemberment Insurance
Employee Assistance Program
Telehealth
Short-Term Disability Insurance
Long-Term Disability Insurance
Paid Time Off
Registered Retirement Savings Plan with Company Match
Maternity, Parental, and Adoption Leave Top-Up
Employee Stock Purchase Program
Critical Illness Insurance
Employee Discounts
LinkedIn Learning Access

Visa sponsorship

Not detected in the job text

Keywords

AI-Native Applications
Enterprise AI
Applied AI
Retrieval-Augmented Generation
AI Assistants
AI Agents
Agentic Workflows
Orchestration
Tool and Function Calling
Model Context Protocol
Distributed Systems
Cloud Architecture
Data-Flow Architecture
Systems Integration
Identity and Authorization
OAuth 2.1
SPIFFE
AuthZEN
DPoP
AI Evaluation
Guardrails
Observability
Token Economics
Architecture Decision Records
Reference Architectures
Proofs of Concept
Build Versus Buy
Presales
Regulated Industries
Coding Agents

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