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AI/ML Platform Engineer
TD
Toronto, ON
Full-time
We are looking for AI / ML Platform Engineer to deliver enterprise Gen AI capabilities and solutions on coding assistant platforms. The perfect candidate will have previous AI / ML cloud…
Added 4 hours ago
AI Engineer
GEI Consultants, Inc.
Markham, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
AI Engineer
GEI Consultants, Inc.
Markham, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
AI Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
AI Engineer
GEI Consultants, Inc.
Guelph, Ontario
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Applied AI Engineer
WELL Health Technologies Corp
Remote, Canada
Full-time · Remote
Connect data and systems. You will connect AI capabilities with enterprise data, systems, APIs, and business applications, ensuring solutions are secure, scalable, and aligned with…
AI Solution Architect
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
The AI Solution Architect is a senior individual-contributor member of the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture…
AI Solution Architect
EQ Bank
Toronto, ON
Full-time
The AI Solution Architect is a senior individual-contributor member of the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture…
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Data Engineer
GEI Consultants, Inc.
Guelph, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Data Engineer
GEI Consultants, Inc.
Markham, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
AI/ML Engineer I
TD
Toronto, ON
Full-time
We are looking for AI / ML Platform Engineer to deliver enterprise Gen AI capabilities and solutions on coding assistant platforms. The perfect candidate will have previous AI / ML cloud…
Applied AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
We’re looking for a Applied AI Engineers to work as forward deployed directly with customers lead the end-to-end delivery of high-impact technical solutions. You’ll embed deeply with…
AI/ML Engineer
Vanguard
Toronto, ON
Full-time
At Vanguard's Corporate Services division, we are seeking a Machine Learning/ AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and support…
Rubrik Backup & Recovery Engineer
J&M Group
Calgary, AB
Full-time
Rubrik Backup & Recovery Engineer to administer and maintain enterprise backup solutions across on-premises and cloud environments.
Senior Network Engineer
Randstad Digital
NB · New Brunswick, Canada
$85,000 to $105,000 CAD / year
Full-time
Senior Network Engineer (Cloud & Enterprise Infrastructure)
Forward Deployed AI Engineer
EQ Bank
Toronto, Ontario
Full-time
You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.
PAM Solution Support Engineer
Scotiabank
Toronto, ON
The PAM Solution Support Engineer is responsible for supporting the deployment, maintenance, and health of Privileged Access Management solutions across enterprise environments. This role…
Senior Cloud Site Reliability Engineer
Solace
Ottawa, ON
Full-time
Enterprise AI is moving from pilots to production, and the constraint is no longer the model - it's the data. Agents are only as good as what they can sense, trust, and act on in the…
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
Full-time
…deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI…
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
Full-time
…deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI…
Senior AWS Architect & AI Practice Lead
OXARO Inc.
Ottawa, ON
Full-time
…experience and understanding in selling to the public sector, lead enterprise architecture initiatives, guide clients through complex modernization programs, develop reusable delivery…
Senior AI Engineer
Vision Talent Co.
Toronto, ON
$110,000 to $130,000 CAD / year
Full-time
We are seeking a Senior AI Engineer to join a growing Corporate AI team responsible for delivering innovative AI solutions across the organization. The team has evolved from delivering…
Agentic Engineer, Innovation
Manulife
Montreal, QC
Full-time
The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and…
AI & Automation Engineer
Magnet Forensics
Waterloo, ON
$110,000 to $130,000 CAD / year
Full-time
Working across enterprise platforms, workflow automation tools, and AI services, the AI & Automation Engineer translates business processes into reliable, observable, and well-governed…

EQ Bank

Forward Deployed AI Engineer

Toronto, ON, Canada

Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

You will design and deliver AI-enabled solutions across the enterprise, ensuring they are reliable and scalable. This includes building applications, integrating systems, and optimizing for performance and user experience.

Requirements

Candidates should have strong experience in building scalable systems and hands-on expertise in AI, particularly with LLMs and prompt design. A solid understanding of security, governance, and operational best practices in AI is also essential.

Experience

5 to 10 years

Working hours

40 hours per week

Work arrangement

On-site

Skills

AI Implementation
Cloud-native Development
APIs
Microservices
Service-based Architectures
CI/CD
Containerization
Event-driven Systems
Data Pipelines
LLM Integration
Prompt Design
Model Limitations
Agent Design
RAG
Monitoring
Optimization

Visa sponsorship

Not detected in the job text

Keywords

AI
LLM
Cloud
Microservices
APIs
CI/CD
Containerization
Event-driven
Data Pipelines
Automation
Security
Governance
Monitoring
Optimization
RAG
Prompt Design
Agent Workflows

Original job description

Purpose Of The Job

We are looking for a Forward Deployed AI Engineer who can bridge the gap between business strategy and real-world AI delivery.

This role is about more than building models - it’s about taking AI from idea to production, integrating it into core systems, and ensuring it delivers measurable business value. You will combine hands-on engineering expertise with practical AI implementation, helping teams adopt AI in a way that is scalable, secure and usable.

What You’ll Do

You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.

Build And Deliver AI Solutions

Design, build, test, and deploy AI-enabled applications, services, and workflows

Work with LLMs, intelligent agents, and automation frameworks to solve real business problems

Take solutions from prototype to production, ensuring they are reliable and scalable

Own Technical Design

Lead architecture and design for:LLM integrations

Retrieval-augmented generation (RAG)

Agent workflows and orchestration

API and enterprise system integrations

Ensure solutions are secure, reusable, and aligned with enterprise standards

Drive Engineering Standards

Define and apply reusable patterns and best practices for AI delivery

Improve how teams build, deploy, and scale AI solutions

Contribute to responsible and governed AI adoption

Support Production And Continuous Improvement

Ensure solutions are production-ready (testing, monitoring, observability)

Troubleshoot issues, perform root cause analysis, and continuously improve systems

Optimize for performance, cost, reliability, and user experience

Partner Across Teams

Work closely with product, architecture, platform, security, and business stakeholders

Translate business needs into clear technical solutions and delivery plans

Influence decisions through technical expertise, not authority

What You Bring

Engineering foundation:

Strong experience building scalable, distributed systems

Deep Knowledge Of

APIs, microservices, and service-based architectures

Cloud-native development (Azure preferred)

CI/CD, containerization, and deployment automation

Experience with event-driven systems, data pipelines and data platforms.

AI / GenAI Expertise

Hands-on experience building LLM-powered applications in production

Strong Experience With

Prompt design and evaluation

Model limitations (hallucination, variability, context constraints)

Agent design and orchestration workflows

Tool/API integrations

RAG and knowledge grounding patterns

Delivery And Operational Mindset

Experience across the full lifecycle:

Use case definition

Solution design

Integration

Deployment

Monitoring and optimization

Strong Understanding Of

AI observability (quality, latency, cost) Reliability and system performance

Risk, Security, And Governance Awareness

Experience working in regulated environments

Strong Awareness Of

Data privacy and security

AI governance and controls

Misuse prevention (incl. prompt injection risks)

Auditability and human-in-the-loop safeguards

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