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Added 1 min ago
Senior High Voltage Design Engineer, Substations
IREN
Vancouver, BC
…for AI training and inference. IREN's vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the…
Added 30 mins ago
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Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 30 mins ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 30 mins ago
A
QA/QC Apecialist
Actalent
Burnaby, BC
- $35 to $45 CAD / hour
- Contract
At least 2 years of experience in a Quality Specialist, Quality Assurance Engineer, or Supplier Quality role, or equivalent experience as an advanced engineering co-op student with strong…
Added 30 mins ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 30 mins ago
A
Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 1 hour ago
R
Principal Engineer, Cyber Technology Operations SRE (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…to move at a faster pace being more prevalent, the Principal Engineer, Cyber Technology Operations SRE will ensure that security technologies, services and controls are streamlined,…
Added 1 hour ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages system security, licensing, upgrades, and overall environment health, while configuring and…
Added 2 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 2 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 3 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 4 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
To better position ourselves for success, the Digital Business Platforms group is seeking a Sr Software Engineer to implement the strategic technology vision by building an effective…
Added 4 hours ago
M
Software Engineer, Full Stack
MetAntz
Vancouver, BC
- Full-time
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee,…
Added 5 hours ago
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Building Maintenance Mechanic
Saputo Inc.
Mississauga, ON
- Full-time
…bridge between business users and the enterprise analytics platform, ensuring business questions are translated into clear, accurate, and performant analytical…
Added 5 hours ago
V
Senior Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…Salesforce technologies, particularly Apex, LWC, and the Salesforce platform. The ideal candidate will have a strong background in implementing Experience Cloud solutions, Case Management,…
Added 6 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 6 hours ago
C
DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced DevOps Consultant – Application Release & Platform Operations to join our growing Cloud and Platform Engineering team. In this role, you will be responsible…
Added 6 hours ago
ES
C++ Software Engineer Intern (UFC - Vancouver - Summer 2027 - 8-months)
EA SPORTS
Vancouver, BC
- Temporary
We're looking for a C++ Software Engineer Intern to join our UFC team for an 8-month internship beginning in May 2027. Reporting to a Senior Software Engineer and paired with an engineering…
Added 6 hours ago
N
Senior Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
As a Senior Software Engineer at Nokia, you'll be at the forefront of our software development efforts. Your expertise in Go development and distributed systems will be crucial in designing…
Added 6 hours ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Build the AI platform behind a leading QSR brand
Added 6 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 hours ago
A
Security Software Engineer
Actalent
Ottawa, ON
- $60 to $80 CAD / hour
- Contract
The Security Software Engineer designs, builds, and supports secure systems that provision sensitive information into devices during manufacturing. This role focuses on protecting…
Added 6 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the IC3 AEGIS team, you will design and build an AI-driven platform supporting centralized security automation and risk remediation. You will develop…
Added 7 hours ago
SR
Senior Software Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for a senior software engineer to build the software platform through which AI agents understand, configure, execute, and improve physical workflows. You will work across…
Added 7 hours ago
W
Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…

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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