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Added 26 mins ago
T
GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Minimum 1 year of hands-on experience with generative AI technologies, large language models (LLMs), or GPT-based systems.
Added 43 mins ago
P
Senior Software Engineer
Pebl
Remote, Canada
- $122,835 to $180,000 CAD / year
- Full-time
- Remote
…what a user sees when the model gets something wrong. You have hands-on experience building LLM-based and agentic products, and you’ve shipped something real end users, not just developers,…
Added 56 mins ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
6-10 years building production software, including recent hands-on delivery of AI or large-language-model systems beyond prototypes.
Added 1 hour ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Deep hands-on technical leadership with enterprise data onboarding, ingestion, and integration initiatives supporting AI, analytics, and business intelligence use cases.
Added 1 hour ago
AI
Senior Site Reliability Engineer - AEM - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Substantial hands-on experience operating a high-traffic public website behind an enterprise content delivery network. Depth in CDN configuration – origin and cache behaviour, invalidati
Added 1 hour ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
…mining environments. We are seeking a highly technical and hands-on Senior Platform Engineer to drive the evolution of our hybrid infrastructure ecosystem spanning on-premises datacenters,…
Added 1 hour ago
LT
Senior Python Developer
Lorven Technologies Inc.
Toronto, ON
- Contract
We are seeking a hands-on contractor to support delivery within the Total Fund Management Portfolio Management Technology team. This role is suited for an experienced, self-directed…
Added 1 hour ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
…agentic systems are built across the organization. This is a hands-on architecture role: you will write design docs, review code, and make the technical decisions teams build…
Added 1 hour ago
RB
Director, DevOps Regulatory Engineering
Royal Bank of Canada
Toronto, ON
- Full-time
Strong engineering background in CI/CD, DevOps tooling and cloud platforms, with hands-on experience in Java and Python
Added 2 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…
Added 2 hours ago
E
AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Hands on experience using playwright as browser automation tool.
Added 2 hours ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 2 hours ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
This role requires hands-on experience with AWS services including ECS, EC2, RDS, S3, CloudFront, Lambda, Route 53, CloudWatch, IAM and networking services, as well as Windows and Linux…
Added 2 hours ago
SA
Staff Software Engineer, Teleoperation
Sanctuary AI
Vancouver, BC
- Full-time
Sanctuary AI is hiring a Staff Software Engineer to drive and evolve the production teleoperation and data collection software that enables robot operators to control robots.
Added 2 hours ago
ES
Data Engineer - DBT Cloud and Snowflake
Enterprise Solutions Inc.
Markham, ON
- Contract
Job Title - Data Engineer - DBT Cloud and Snowflake
Added 2 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 2 hours ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
This role requires hands-on experience with AWS services including ECS, EC2, RDS, S3, CloudFront, Lambda, Route 53, CloudWatch, IAM and networking services, as well as Windows and Linux…
Added 2 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 2 hours ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 3 hours ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver critical, scalable, highly…
Added 3 hours 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 3 hours ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 3 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…
Added 3 hours ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
The Role: We’re looking for a Senior Software Engineer who is deeply hands‑on, highly technical, and exceptional at building production systems end‑to‑end to join an engineering team whose…
Added 3 hours ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…

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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