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Added 1 min ago
MP
Design engineer - mechanical
Multi-Power Products
Kelowna, BC
- $85,000 to $95,000 CAD / year
- Full-time
- On-site
Conduct research into the feasibility, design, operation and performance of mechanisms, components and systems
Added 3 mins ago
FM
Industrial Mechanic/Millwright Journeyperson (Site Based)
Fortis Mining Engineering & Manufacturing
Saskatoon, SK
- Full-time
Innovation– if it doesn’t exist, we will engineer and manufacture it
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
The Senior Data Engineer leads complex data engineering projects, working on designing data
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 3 mins ago
V
AI Solution Architect
Virtusa
Toronto, ON
- Full-time
Engineer data pipelines, APIs, and orchestration layers to integrate AI solutions with enterprise systems.
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Lead the design and implementation of innovative digital asset solutions within existing banking systems.
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Design and implement innovative digital asset solutions that integrate seamlessly with existing banking systems.
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Cloud & Infrastructure: Advanced proficiency in AWS (Lambda, ECS Fargate, API Gateway, DynamoDB, Systems Manager Parameter Store, Secrets Manager, IAM) and Infrastructure as Code (IaC).
Added 3 mins ago
V
Senior Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Implement and manage Experience Cloud solutions, ensuring seamless integration with existing systems.
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…high-performance market data solutions, optimizing existing systems, and collaborating with cross-functional teams to deliver scalable and low-latency…
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Facilitate straight-through processing (STP) from other systems.
Added 3 mins ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Integrate with various internal and external systems.
Added 3 mins ago
OI
Senior Software Engineer
Oryn, Inc.
Mississauga, ON
- Full-time
Role Description The Senior Software Engineer will design, develop, and maintain robust software systems that power Oryn’s AI-driven products. Day-to-day responsibilities include…
Added 4 mins ago
HS
AME (aircraft maintenance engineer), rotorcraft
Heli Source Limited
Whitecourt, AB
- $44.5 to $46.15 CAD / hour
- Full-time
- On-site
Adjust and repair systems according to specifications, technical drawings, manuals and established procedures
Added 33 mins ago
AI
Applications Engineering Manager, Nuclear
ATS Industrial Automation
Cambridge, ON
- Full-time
…commercial effectiveness of proposals for automation tooling and systems that meet nuclear customer requirements. The Manager leads the review and approval of customer requirements,…
Added 33 mins ago
V
Python Gen AI developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 33 mins ago
V
Python Gen AI
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 33 mins ago
V
Senior Software Engineer
Virtusa
Halifax, NS
- Full-time
Overview: We are seeking a skilled Azure Platform Engineer with deep expertise in Azure
Added 33 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Lead the design and implementation of innovative digital asset solutions within existing banking systems.
Added 33 mins ago
A
Senior ASIC RTL Design Engineer, AI Networking IP
AMD
Ottawa, ON · Kanata, ON
- $128,000 to $192,000 USD / year
- Full-time
We are looking for a talented ASIC RTL Design Engineer to join our IP design team developing high-performance networking and communications IP for advanced AMD products. Our intellectual…
Added 33 mins ago
A
Senior Engine Engineer - Treyarch - Vancouver, BC
Activision
Vancouver, BC
- Full-time
Treyarch, the studio behind the best-selling Call of Duty: Black Ops franchise, is seeking an Senior Engine Engineer to join our Core Engine team. This is an opportunity to help shape the…
Added 33 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…requirements into scalable, secure, and maintainable cloud…
Added 33 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 33 mins ago
NS
Industrial Mechanic/Millwright Journeyperson (Site Based)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
Innovation- if it doesn’t exist, we will engineer and manufacture it

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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