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Added 5 mins ago
EE
Commercial Services Analyst
Emera Energy
Halifax, NS
- Full-time
…Commercial Services Manager, you will be responsible for providing data management and analytical support to Emera Energy’s Commercial Team. This role will speak to a detail-oriented…
Added 5 mins ago
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Product Manager
GreenShield
Toronto, ON
- $94,406 to $142,069 CAD / year
- Full-time
…without shareholders, we reinvest our excess earnings to directly support underserved communities. Through GreenShield Cares, we positively impacted the health and well-being of over one…
Added 7 mins ago
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Account Manager, Energy and Retail
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital…
Added 7 mins ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
…planning, governance, and continuous improvement of the Workday platform. Acting as the primary liaison between IT, HR, Finance, Payroll, and other business stakeholders, this role will…
Added 23 mins ago
PRODUCT MANAGER, BENEFIT ADMINISTRATION
Green Shield Canada
Toronto, ON
earnings to directly support underserved communities. Through GreenShield
Added 36 mins ago
R
Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 36 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
Job Title: Business Systems Analyst & Developer - Data, AI & Agentic Automation
Added 36 mins ago
TI
Workday Lead
Teranet Inc.
Toronto, ON
- $126,500 to $148,500 CAD / year
- Full-time
…planning, governance, and continuous improvement of the Workday platform. Acting as the primary liaison between IT, HR, Finance, Payroll, and other business stakeholders, this role will…
Added 36 mins ago
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Responsable du marketing produit | Produc Marketing Lead
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
…developments, and be the voice of the market and of adoption data in product planning. When acquisitions or product consolidations happen, you’ll support portfolio and integration…
Added 38 mins ago
Experience Researcher, PLG
Asana
Vancouver, BC
Be a strategic partner: Together with your cross-functional partners (Product, Design, Engineering, Data Science) you’ll uncover how to best introduce users to Asana’s new products,…
Added 38 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Partner with Product, Marketing, Architecture, Data Engineering, and Agile teams to define platform roadmaps and strategic priorities.
Added 38 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
…Specific in-office days may be set by the team or department to support collaboration and business…
Added 53 mins ago
M
Library Scientist
Miratech
Toronto, ON
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 53 mins ago
M
Senior Business Consultant
Miratech
Toronto, ON
- Full-time
…assistance, summarisation and virtual agents. Document what the platform supports natively, what it supports with configuration or workaround, and what it cannot support. Identify which…
Added 53 mins ago
BR
Talent Acquisition Specialist
Brodie Rec League
Toronto, ON
- $90,000 to $115,000 CAD / year
- Full-time
Practice strong data hygiene; track and report on funnel health, including time-to-fill, source effectiveness, stage pass-through rates, and offer acceptance, and use the data to tell…
Added 53 mins ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier…
Added 53 mins ago
Q
Technical Lead – Treasury
Quantiphi
Toronto, ON · CA ON Toronto
- Full-time
…comfortable working with payment flows (wire, ACH/EFT, cheque), data feeds/ETL, integrations, anomaly detection, and security controls to turn complex remediation requirements into…
Added 1 hour ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Partner with Product, Marketing, Architecture, Data Engineering, and Agile teams to define platform roadmaps and strategic priorities.
Added 1 hour ago
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Solution Designer Generative AI Applications
CIBC
Toronto, ON
- Full-time
…technologies, translating user requirements to process and data requirements and developing solutions for the business with far-reaching impact. The Senior Consultant, Application…
Added 1 hour ago
A
Java/AI Software Engineer
Aptonet
Vancouver, BC
- Full-time
…you will collaborate with senior engineers, Product teams, Data Science teams, and other development groups to design, implement, test, and deploy features for an AI-powered platform that…
Added 1 hour ago
NC
Media Sales Strategist – Toronto, ON
Newfoundland Capital Corporation Limited
Toronto, ON
- Full-time
…out-of-home, YouTube, search, social and our proprietary retail media platform – to help clients grow and…
Added 1 hour ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 1 hour ago
MC
Member Services Representative - Part Time
Meridian Credit Union
Woodstock, ON
- $45,000 to $49,900 CAD / year
- Part-time
Our Retail teams work alongside our partners in Wealth, Small Business, and Mobile Mortgage Specialists to support our Members' holistic financial growth.
Added 1 hour ago
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Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Support Microsoft Fabric and other enterprise data platform services
Added 1 hour ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…

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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