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Added 25 mins ago
OA
Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 25 mins ago
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Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 55 mins ago
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GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Collaboration: Work closely with cross-functional teams including data scientists, engineers, and product managers to implement and test improvements.
Added 57 mins ago
LC
Programming Engineer
Linamar Corporation
Guelph, ON
- Full-time
The Programming Engineer is responsible for designing, developing, and supporting software and system solutions that enhance manufacturing and engineering operations. This role owns key…
Added 57 mins ago
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AI Security Architect
Manulife
Toronto, ON
- Full-time
3+ years of experience securing AI, machine learning, or advanced analytics solutions, including AI governance, data protection, and risk management practices.
Added 1 hour ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business…
Added 1 hour ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within…
Added 1 hour ago
M
Business System Analyst
MethodHub
Vancouver, BC
- Contract
· Work with DevOps engineers to define requirements for CI/CD pipelines, build and deployment automation, artifact management, release gating, and environment promotion.
Added 1 hour ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations…
Added 1 hour ago
SC
Water Resource Engineer
SLR Consulting
Victoria, BC · Nanaimo, BC · Kamloops, BC · Vancouver, BC · Kelowna, BC
- Full-time
Proficiency in R (or Python) for data processing, statistical analysis, visualization, and automation of hydrological workflows.
Added 2 hours ago
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Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with…
Added 2 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Leverage Gen-AI/AI capabilities such as Claude, CoPilot, others – to generate code, test data generation and automated testing. Demonstrate keen interest in leveraging automation for…
Added 2 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 2 hours ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…
Added 2 hours ago
JG
Windows 365 Cloud Engineer
J&M Group
Toronto, ON
- Contract
We are hiring for a Windows 365 Cloud PC Engineer. This role focuses on designing, deploying, supporting, and optimizing enterprise-scale Windows 365 Cloud PC environments.
Added 2 hours ago
E
AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Around 8 years of experience in Quality Engineering, Testing, Test Automation or Software Engineering.
Added 2 hours ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Bring us your passion for digital or data analytics, and we’ll put you to work on exciting initiatives that answer the challenge: "How can we do that better?” Working with a dedicated team…
Added 2 hours ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Toronto, ON
We are looking for a DevOps Engineer Student who is interested in learning how modern technology platforms are built, delivered, and supported within a large enterprise environment.
Added 2 hours ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
…Responsibilities include implementing Infrastructure as Code (IaC), cloud automation, CI/CD pipelines, monitoring solutions and operational best…
Added 3 hours ago
FD
AI Engineer
Frontier Dental CA
Markham, ON
- Full-time
We’re seeking an AI Engineer to help shape the future of Frontier Dental through practical AI adoption and business automation.
Added 3 hours ago
T
Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for an experienced MLOps / DevOps Infrastructure Engineer with strong cloud, automation and software delivery experience. This role combines hands-on AWS/GCP infrastructure,…
Added 3 hours ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong knowledge of: Customer Data Platforms (CDPs) Journey orchestration Marketing automation Personalization and decisioning Customer identity and consent management Omnichannel activation
Added 3 hours ago
A
Java/AI Software Engineer
Aptonet
Vancouver, BC
- Full-time
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 4 hours ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
…Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation,…
Added 4 hours ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
We are looking for a hands-on engineer who can build and deploy production-grade Agentic AI and multi-agent systems using Google ADK and MCP, while developing scalable AI platform…

AceStack

Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps

Location: Toronto, ON

Work Mode: Onsite

Experience: 10–14 Years

Job Description

We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work directly with client stakeholders and engineering teams to discover business problems, analyze real-world data, rapidly build AI-powered solutions, and deploy reliable, production-ready applications that deliver measurable business outcomes.

Must-Have Technical Skills

Python, PySpark & SQL: Strong hands-on experience in data engineering, data profiling, distributed processing, and production-grade software development.
AI & LLM Engineering: Experience with Claude, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, semantic search, and agentic AI workflows.
APIs & Application Integration: Expertise in REST APIs, FastAPI, enterprise application integration, and connecting AI solutions to enterprise data sources.
Data Engineering & DataOps: ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, orchestration, and observability.
MLOps / LLMOps: Model lifecycle management, MLflow, CI/CD, automated deployment, model evaluation, monitoring, rollback, and production support.
Cloud & Platform Engineering: Experience with cloud data platforms, Docker, Kubernetes, Airflow, Git, distributed computing, and infrastructure automation.
Security & Governance: IAM/RBAC, encryption, secrets management, data privacy, auditability, compliance, and responsible AI controls.
Production Engineering: Automated testing, performance optimization, error handling, reliability engineering, incident resolution, and operational monitoring.
Data Discovery & Evaluation: Profiling unfamiliar datasets, assessing data quality and feasibility, building evaluation datasets, conducting error analysis, and improving AI solution quality.
Forward-Deployed Delivery: Experience working directly with clients to conduct discovery, build rapid prototypes, integrate enterprise systems, deploy solutions, and measure business impact.

Roles & Responsibilities

Engage directly with client SMEs, business users, product owners, and engineering teams to understand workflows, business objectives, data sources, constraints, and success criteria.
Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, SQL, Claude, FastAPI, and REST APIs.
Profile and analyze client data to assess data quality, coverage, volumes, distributions, edge cases, and business-process gaps.
Build and operationalize Claude-powered applications, copilots, RAG pipelines, vector search solutions, and agentic AI workflows.
Architect and implement scalable batch, streaming, and real-time data pipelines across enterprise data platforms.
Rapidly develop prototypes using real client data and APIs, validate them with users, and iteratively harden solutions for production.
Implement MLOps/LLMOps workflows covering evaluation, automated testing, CI/CD, deployment, monitoring, rollback, and lifecycle management.
Establish responsible AI, security, privacy, traceability, governance, and human-oversight controls.
Troubleshoot data-access, API, identity, networking, infrastructure, security, and deployment issues in collaboration with client teams.
Own post-deployment stabilization, incident diagnosis, performance and latency optimization, cost monitoring, and production support.
Measure adoption and business outcomes using KPIs such as productivity gains, time saved, error reduction, processing efficiency, and solution quality.
Lead technical workshops, solution design, architecture reviews, code reviews, demonstrations, and effort estimation.
Develop reusable frameworks, accelerators, reference architectures, runbooks, and implementation standards.
Mentor engineering teams and ensure effective knowledge transfer, documentation, operational handover, and ongoing support readiness.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline; equivalent relevant experience may be considered.
10–14 years of relevant experience across data engineering, AI application development, cloud data platforms, APIs, and production software engineering.
Experience delivering solutions in Banking, Financial Services, Insurance (BFSI), or other regulated enterprise environments.
Strong client-facing consulting, problem-solving, communication, and technical presentation skills.
Demonstrated ability to take solutions from discovery and rapid prototyping through production deployment, adoption, and measurable business outcomes.
Willingness to work onsite with client teams and travel when required.

Preferred: Certifications in cloud platforms, AI engineering, MLOps, data engineering, Kubernetes, enterprise architecture, or security.

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More about this job

Responsibilities

Engage with client stakeholders to discover business needs, analyze data, and design, prototype, deploy, and support production-grade AI and data applications. Build scalable data pipelines and Claude-powered solutions, operationalize MLOps/LLMOps, establish security and governance controls, and measure business outcomes.

Requirements

Requires 10–14 years of relevant experience across data engineering, AI application development, cloud data platforms, APIs, and production software engineering, along with strong client-facing consulting and communication skills. A bachelor’s degree or equivalent relevant experience is required; experience in BFSI or other regulated enterprise environments is expected, and relevant certifications are preferred.

Skills

Python
PySpark
SQL
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
REST APIs
FastAPI
Data Engineering
MLOps
LLMOps
Cloud Platforms
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
REST APIs
FastAPI
ETL/ELT
Batch and Streaming Pipelines
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Cloud Data Platforms
Distributed Computing
Data Governance
Responsible AI
BFSI
Data Quality
Model Evaluation
Production Support
Infrastructure Automation

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