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Deployment engineer Jobs in Toronto, ON

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Deployment engineer • toronto on

Last updated: 2 days ago

AI Engineer

ExcelGens, Inc.Toronto, ON, Canada
Full-time
Quick Apply

Role: AI Engineer </b></p> <p style="margin-left:48px"><b>Duration : 15 Month+</b></p> <p style="margin-left:48px"><b>Number of r... Show more

Staff Engineer

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

Join a high-impact team leading RBC’s call centre and branch technology transformation.As the Backend (Java & Spring) Lead Developer, you will drive the design, development, and maintenance of GenA... Show more

Project Engineer

Technical Management GroupToronto, Ontario, Canada
Full-time

General Accountability and Summary.This role will appeal to a collaborative individual, with a broad interest in and exposure to various aspects of engineering design and project management in the ... Show more

Software Engineer

Artech LLCToronto, ON
Full-time

Location: Montreal; Hybrid 3 days a week in office.We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to de... Show more

Database Engineer

TSX Inc.Adelaide St W,Toronto
CA$110,000.00 yearly
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ... Show more

Deployment Technician

PeopleToGoToronto, ontario, Canada
Full-time
Quick Apply

Deployment Technician (Windows 7 upgrade from Windows XP).Type: Contract – 9 Months in duration.All candidates must be willing to undergo a successful criminal security check and provide solid past... Show more

QA Engineer

Randstad CanadaToronto, Ontario, CA
Temporary
Quick Apply

Our client, a leading financial institution, is seeking a highly skilled ETL Quality Assurance Testing professional to join their team.In this role, you will support parallel projects in a fast-pac... Show more

Development Engineer

Active DynamicsToronto, ON, CA
CA$85,000.00 yearly
Full-time
Quick Apply

Active Dynamics is a progressive OEM supplier that designs, tests, and manufactures unique solutions for multiple systems and multiple industries.This full-service, end-to-end capabilities are pair... Show more

OneLIMS Validation & Deployment Lead

Amaris ConsultingToronto, Canada
Full-time

Join a large-scale laboratory digital transformation programme focused on deploying an enterprise Laboratory Information Management System (LIMS) across a regulated pharmaceutical environment.The p... Show more

TSYS Deployment Lead – Product Launch, Conversion & Release Management

Astra North Infoteck Inc.Toronto, ON, ca
Full-time

TSYS Deployment Lead – Product Launch, Conversion & Release Management.Required Skills & Responsibilities.Deployment Planning & Execution.Lead deployment planning and execution for prod... Show more

Solution Engineer

ProphixEtobicoke, ON, CA
CA$150,000.00 yearly
Full-time
Quick Apply

See what you can do with Prophix.Prophix helps finance teams work with greater flexibility and confidence through Prophix One™, our Financial Performance Platform.We bring planning, reporting, and ... Show more

Solutions Engineer

STAN AIToronto, Ontario, Canada
CA$80,000.00 yearly
Full-time
Quick Apply

This is a solutions engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why — digging through conversation logs, refining prom... Show more

DevOps Engineer

Sapsol Technologies IncToronto, ON, CA
CA$100,000.00–CA$125,000.00 yearly
Full-time
Quick Apply

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD.Our project involves building automations for a greenfield managed... Show more

Software Engineer

Royal Bank of Canada>TORONTO, Canada
Full-time

You will be a full stack developer on a team focused on web applications that support internal and external RBC users.This role supports the modernization and enhancement of enterprise platforms us... Show more

Presales Engineer

Data MavericksToronto, ON, CA
Full-time
Quick Apply

We are looking for a Presales Engineer who is accustomed to solving customers’ most complex problems and collaborating with sales to close large deals.In this role you will work directly with... Show more

Software Engineer

hireVouchToronto, Ontario, USA
Full-time

Our engineering team builds and runs the entire platform: product features, vulnerability scanners, data ingestion pipelines, AI-powered workflows, and APIs.We're small, Toronto-based, and frequent... Show more

Principal Product Manager - Activation & Deployment, Evisort AI

Canada Workday ULCToronto, ON, Canada
CA$135,700.00 yearly
Full-time

This role isn’t a traditional Product Manager.It is part high-level Product Strategy, part Solutions Architecture, and part "Client Whisperer.Your mission is to bridge the gap between our cutting-e... Show more

Software Engineer

RoadpostToronto, ON, CA
CA$130,000.00 yearly
Full-time
Quick Apply

Who We Are  ZOLEO is building the next generation of connected communication devices — integrating hardware, firmware, mobile applications, and cloud services into one seamless global ex... Show more

Data Engineer

SuiteSpotToronto, ON, CA
Full-time
Quick Apply

Who We Are SuiteSpot is a PropTech company transforming how residential real estate is managed and operated at scale.Our award-winning Maintenance and Capital SaaS solutions serve the top 50 multif... Show more

AI Deployment Strategist (Canada)

RockstarToronto, ON, CA
Full-time
Quick Apply

Rockstar is recruiting for a fast-growing, venture-backed SaaS company that is transforming enterprise accounting through powerful integrations, intuitive design, and AI-driven automation.The clien... Show more

People also ask
AI Engineer

AI Engineer

ExcelGens, Inc.Toronto, ON, Canada
4 days ago
Job type
  • Full-time
  • Quick Apply
Job description


Role: AI Engineer

Duration : 15 Month+

Number of resources needed: 2

Location & work model: Toronto, ON - Hybrid (2-3 times per week onsite)

Project Background:

  • You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business challenges into practical, scalable, and responsible AI solutions through maintainable architectural. You will have the opportunity to influence executive stakeholders and help clients responsibly adopt agentic AI to drive measurable business outcomes.
  • As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability and governance that ensure AI solutions work in production.

Key Responsibilities:

  • Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms, including agent orchestration, AI gateways (i.e. MCP, A2A), observability, controls and guardrails.
  • Build and optimise retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking to ground agent outputs in accurate, current enterprise data.
  • Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
  • Build evaluation frameworks to measure AI solution quality, consistency, and implement telemetry and monitoring to track model drift, latency, output quality, and cost metrics in production.
  • Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD, ensuring high availability and low latency.
  • Build AI governance and responsible AI controls for AI systems
  • Contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings in agentic and generative AI

Required Qualifications:

  • A degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3-5+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
  • Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
  • Hands-on experience building and deploying AI agents and AI/ML solutions.
  • Hands-on experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and version control for AI systems; working knowledge of LLM observability and monitoring tools.
  • Experience in API integration and development.
  • Consulting or professional services experience is strongly preferred.

Skills and Attributes for success:

  • Deep experience designing and building agentic AI systems in enterprise environments.
  • Analytical mindset to troubleshoot AI-specific failure modes, model hallucinations, retrieval gaps, context overflow, agent looping, and system latency and engineer reliable solutions around them.
  • Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
  • Adapts quickly to fast-moving environments with frequent updates in AI frameworks, agentic tool patterns, LLM capabilities, and cloud platform services