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Added 55 mins ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 55 mins ago
MP
Radio Frequency Engineer
Mpowering People
Calgary, AB
- Full-time
We are looking for an RF Engineer to join the Hardware Development team in Calgary, Alberta. In this role, you will contribute to the design and validation of RF GNSS and anti-jam…
Added 1 hour ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Added 1 hour ago
T
Network Engineer testing
TechDoQuest
Brampton, ON
- Contract
Analyzing and configuring system after upgrade/installation.
Added 1 hour ago
PP
Outside Sales Engineer
Preston Phipps Inc
Mississauga, ON
- Full-time
Preston Phipps is looking for a technically curious, relationship‑driven sales engineer to support our growth across Central Canada. In this role, you’ll learn how to become a trusted…
Added 2 hours ago
Q
DSP Application Engineer, Principal
Qualcomm
Ottawa, ON
- Full-time
We are seeking a Principal DSP Application Engineer to drive customer adoption and deployment of next-generation DSP in the Optical Transceiver and Active Electrical Cable (AEC) solutions…
Added 2 hours ago
CL
Senior Site Reliability Engineer, Data Infrastructure
Chainlink Labs
Remote, Canada
- Full-time
- Remote
The Senior Site Reliability Engineer will own the reliability and operational performance of large-scale distributed systems and data infrastructure. This role will strengthen the…
Added 3 hours ago
DS
Member of Technical Staff – AI Evaluation
Digivance Solutions
Canada
- Full-time
What does it take to evaluate an AI system that can engineer real-world physical systems?
Added 3 hours ago
C
Principal SerDes System/DSP Design Engineer
Ciena
Ottawa, ON
- $126,100 to $201,500 CAD / year
- Full-time
We are seeking a highly skilled Senior SerDes System/DSP Design Engineer to join our advanced engineering team . In this role, you will lead the architecture, design, and validation of…
Added 3 hours ago
1R
DevOps/Sysadmin engineer
1WorldOnline R&D Center (Business Automatics)
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Now we are looking for DevOps/Sysadmin engineer to our team.
Added 3 hours ago
DO
Mechanical Structural Design Engineer
Dongguan Onlitex Electronic Co., Ltd
Major, SK
- Full-time
A sound training system, with induction training, on-the-job training, external
Added 3 hours ago
M
Optical Systems Engineer - LiDAR and Laser Ranging
Mechasys
Montreal, QC
- Full-time
We are seeking a hands-on Optical Systems Engineer - LiDAR and Laser Ranging to own the distance measurement subsystem at the heart of the XR Projector. The instrument currently relies on a…
Added 4 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 4 hours ago
IC
Quality Assurance Specialist- EN
IAMGOLD Corporation
Gogama, ON
- Full-time
Support testing, startup, and system verification activities.
Added 5 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
System Integration: Integrate imaging software and hardware subsystems into target devices, enterprise platforms, or specialized applications.
Added 5 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…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…
Added 8 hours ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Senior OCS (Overhead Catenary System) Engineer to work on our HMLRT project. As the successful candidate your ideas for…
Added 9 hours ago
OI
Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our…
Added 9 hours ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 9 hours ago
TC
Production / Application Support Engineer
Tata Consultancy Services
Montreal, QC
- Full-time
We are seeking an experienced Production/Application Support Engineer with expertise in Unix/Linux, Python, Perl, IBM DB2, NAS Storage, and Archiving Applications. The ideal candidate will…
Added 9 hours ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55
Added 10 hours ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 10 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 11 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 11 hours ago
TT
Gas Turbine Engineer
Turbine Technical Services
Quebec, QC
- Full-time
TTS is seeking a competent Field Service Engineer with gas turbine experience who will leverage their expertise in OEM legacy control systems and PLC control systems, troubleshooting,…

EPAM Systems

AI Architect

Canada

Full-time

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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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