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Added 3 hours ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed Engineer , unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will…
Added 7 hours ago
AM
Senior ASIC RTL Design Engineer, AI Networking IP
Advanced Micro Devices, Inc
Ottawa, ON
- 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 12 hours 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 12 hours ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
L'équipe Applied AI Forward Deployed Engineering (FDE) de ServiceNow est l'endroit où les idées audacieuses se transforment en actions concrètes. Nous collaborons avec nos clients les plus…
Added 15 hours ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption,…
Added 19 hours ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
…engineers who enjoy understanding how systems are designed, deployed, and operated. Success in this role requires sound judgment, clear communication, initiative, collaboration, and a…
Added 22 hours ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps
Added 23 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption,…
Added 23 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experience working in a forward-deployed delivery model by embedding with subject matter experts, business users, and engineering teams through solution validation, production deployment,…
Added 23 hours ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption,…
Added 1 day ago
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Principal Machine Learning Engineer, AISWP (Hybrid)
Cisco
Vancouver, BC
- Full-time
Join our team as a Principal Forward Deployed Engineer to shape the future of our AI-powered platforms. You will:
Added 1 day ago
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Sr, Mainframe Engineer, TD Securities
TD
Toronto, ON
- Full-time
…that environments are fully functional and that builds are deployed properly. Data set up and environment shakes…
Added 1 day ago
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Lead AI Solutions Engineer
McKesson
Mississauga, ON
- Full-time
The US Oncology Network is seeking a Lead AI Solutions Engineer (Forward Deployed Engineering) to drive the identification, design, prototyping, and validation of AI-enabled solutions that…
Added 1 day ago
AO
Electrical Engineer
AML Oceanographic Ltd.
Saanichton, BC
- $87,500 to $104,000 CAD / year
- Full-time
Owns Forward Risk: Are electrical-domain risks surfaced before first build?
Added 1 day ago
AO
Electrical Engineer
AML Oceanographic Ltd.
Dartmouth, NS
- $87,500 to $104,000 CAD / year
- Full-time
Owns Forward Risk: Are electrical-domain risks surfaced before first build?
Added 1 day ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Modern Data Stack: Work in Databricks (Unity Catalog, Delta Lake, serverless compute, Lakeflow Connect/Auto Loader, MLflow, Genie) with Python/PySpark and SQL, deployed via Asset Bundles.
Added 1 day ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Modern Data Stack: Work in Databricks (Unity Catalog, Delta Lake, serverless compute, Lakeflow Connect/Auto Loader, MLflow, Genie) with Python/PySpark and SQL, deployed via Asset Bundles.
Added 1 day ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Title of position: Senior Forward Deployed Engineer
Added 1 day ago
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Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 day ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 day ago
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Data Specialist
McKesson
Mississauga, ON
- Full-time
Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
Added 2 days ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking a highly skilled Forward Deployed Engineer to work closely with business stakeholders and engineering teams to design, build, and deploy AI-powered data solutions. The ideal…
Added 2 days ago
Mission Manager, National Security, Mandiant
Google
Ottawa, ON
You will lead a forward-deployed team delivering integrated cyber defence, threat intelligence, security engineering, AI-augmented detection and response, and continuous validation testing.…
Added 2 days ago
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Forward Deployed Engineer
Leyton
Vancouver, BC · Greater Vancouver, BC
- €30,000 to €50,000 EUR / year
- Full-time
As a Forward Deployed Engineer, you will work directly with business teams across different countries to identify opportunities, design solutions, build prototypes, and deliver AI-powered…
Added 2 days ago
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Java Developer
Dexian
Mississauga, ON
- Other
Prior forward-deployed, solutions engineering, or client-facing technical roles

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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