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Added 13 mins ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
…successful candidate will own the end-to-end lifecycle of intake solutions, from requirements gathering and workflow design to implementation, deployment, monitoring, and continuous…
Added 13 mins ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful…
Added 28 mins ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Toronto or Waterloo, hybrid | Full-time | Reports to the Solutions Lead
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 2 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 5 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
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,…
Added 6 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
…We're revolutionizing how Canadians access insurance and wealth solutions by building a platform that lets people buy products the way they want to: online in minutes or virtually via a…
Added 8 hours ago
TC
Senior Network Engineer - Data Center & Network Infrastructure
Tata Consultancy Services
Montreal, QC
- Full-time
Looking for a Senior Network Engineer with strong experience in designing, implementing, and supporting enterprise-scale Data Center and Network Infrastructure environments. The candidate…
Added 8 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 8 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
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
…acceleration, O-HIVE is building compact, high-performance computing solutions that operate directly on embedded…
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 13 hours ago
K
Senior Software Engineer, Payments
Kindsight
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With…
Added 13 hours ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
Collaborate with the IT team to research and evaluate new applications or solutions to enhance Xanadu’s cybersecurity posture
Added 13 hours ago
X
AI Specialist - AI For Research
Xanadu
Toronto, ON
- Full-time
Collaborate closely with researchers – theorists, experimentalists, engineers – to craft creative solutions for complex challenges.
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
Sr. Equipment Engineer
Xanadu
Toronto, ON
- Full-time
Strong critical thinking skills and the ability to tackle challenging problems and develop innovative solutions.
Added 13 hours ago
X
Senior Mechanical Engineer
Xanadu
Toronto, ON
- Full-time
…delivering complex mechanical, vibration-control and cooling solutions, and apply it to Xanadu's rack-scale quantum computer development. In the role of mechanical engineer, you will join a…
Added 13 hours ago
X
Photonics Test Engineer - Wafer Level
Xanadu
Toronto, ON
- Full-time
3+ years of experience testing integrated photonic solutions.
Added 13 hours ago
X
Senior Photonics Design Engineer - Integrated Nonlinear Optics
Xanadu
Toronto, ON
- Full-time
…Furthermore, advanced knowledge of quantum optics, particularly for solutions beyond perturbative (low-gain)…
Added 13 hours ago
X
Photonics Engineer System Integration
Xanadu
Toronto, ON
- Full-time
We are looking for a hands-on, analytical, and driven Photonics Engineer to join our hardware team and accelerate the development of our Fault-Tolerant Quantum Computing (FTQC) systems. If…
Added 13 hours ago
X
Lead Engineer - Laser Systems
Xanadu
Toronto, ON
- Full-time
The Lead Engineer will architect and build the ultra-stable, low-noise laser engines powering the world’s first fault-tolerant photonic quantum computers, acting as both a system architect…
Added 13 hours ago
X
Sr. Packaging NPI Engineer
Xanadu
Toronto, ON
- Full-time
We are looking for a highly motivated and experienced Senior Packaging New Product Introduction (NPI) Engineer to join our dedicated engineering team. In this pivotal role, you will lead…
Added 13 hours ago
X
Data Center Infrastructure Engineer
Xanadu
Toronto, ON
- Full-time
…complex mechanical, vibration-control, and thermal-cooling solutions and apply it to Xanadu’s rack-scale quantum computer development. In this role, you will bridge facility-level…
Added 13 hours ago
X
Process Integration Engineer
Xanadu
Toronto, ON
- Full-time
Design and execute fabrication process improvement experiments, including defining fabrication splits, gathering and analyzing inline data, etc.

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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