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Added 2 mins ago
MG
Technical Analyst, Database
Michael Garron Hospital
Toronto, ON
- Full-time
Added 2 mins ago
CT
Analyst, Data Governance
Canadian Tire Corporation
Oakville, ON
- Full-time
Experience with ETL/ELT processes and modern integration frameworks like API and event streaming.
Added 47 mins ago
M
GRO Program - Data
Manulife
Toronto, ON
- Full-time
Familiarity with ETL or ELT processes, data modeling, or data warehousing.
Added 5 hours ago
SI
Senior Data Engineer/ Data Modeler
Spruce InfoTech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 5 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Added 6 hours ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Manage digital data handling and ETL operations from multiple data warehouses to conduct in-depth customer, website, and product analysis.
Added 6 hours ago
B
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
- Full-time
Experience with ETL/ELT development/testing and data warehousing concepts.
Added 8 hours ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
Added 8 hours ago
V
Systems Architect
Virtusa
Toronto, ON
- Full-time
Data Integration & ETL: Collaborate with SQL Server, Azure, data warehouses, APIs, and other data sources to design reliable data integration and transformation processes using Power Query…
Added 8 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…prepare data for reporting Proven experience as a Power BI Developer or similar role Proficiency in Power BI including Power Query DAX and Power BI Service Strong experience with relational…
Added 8 hours ago
WI
Senior GIS Analyst
WSP in Canada
Terrace, BC
- Full-time
…productivity, QA/QC, mobile data capture, geospatial analysis, spatial ETL and workflow automation would be an…
Added 8 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 8 hours ago
WI
Senior GIS Analyst
WSP in Canada
Vancouver, BC
- Full-time
…productivity, QA/QC, mobile data capture, geospatial analysis, spatial ETL and workflow automation would be an…
Added 9 hours ago
Senior Data Engineer
Livingston International
Toronto, ON
Design, build, and maintain scalable ETL/ELT pipelines that ingest data from transportation management (TMS), ERP, EDI, and telematics/IoT sources.
Added 10 hours ago
BC
Business Systems Analyst - Contact Center
BrainRidge Consulting
Toronto, ON
- Full-time
Write SQL queries to validate data, perform analysis and support ETL or API integrations between the contact center platform and back-end banking systems.
Added 10 hours ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Added 12 hours ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.
Added 12 hours ago
JG
AI Developer
J&M Group
Canada
- Full-time
Data Engineering: Design, build, and maintain robust end-to-end data engineering frameworks, including ETL/ELT processes, batch and streaming pipelines, data integration, data quality…
Added 12 hours ago
JG
Sr Developer - cloud
J&M Group
Canada
- Full-time
Delivering end-to-end data pipelines (ETL/ELT, streaming, DataOps).
Added 12 hours ago
AC
Lead Data Designer
Aviva Canada
Markham, ON
- Full-time
Added 12 hours ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Added 12 hours ago
Pipeline Integrity Engineer, Risk
NDT Global Group
Calgary, AB
…ingestion processes, and basic extract, transform, and load (ETL) methodologies. The role requires the ability to understand, validate, and interpret pipeline integrity and risk data,…
Added 12 hours ago
O
Développeur(se) solutions analytiques intermédiaire
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Connaissance de diverses bases et sources (MS SQL Server, Oracle, DB2, Sybase, Dataverse, NoSQL, Spark; ELT/ETL/API; formats comme JSON);
Added 12 hours ago
W
Développeur(se) solutions analytiques intermédiaire
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Connaissance de diverses bases et sources (MS SQL Server, Oracle, DB2, Sybase, Dataverse, NoSQL, Spark; ELT/ETL/API; formats comme JSON);
Added 12 hours ago
RD
Software Developer & IT Systems Specialist
Randstad Digital
Milton, ON
- $80,000 to $100,000 CAD / year
- Full-time
Our client is seeking a highly adaptable, hands-on Software Developer & IT Systems Specialist to join our team in Milton. In this dynamic role, approximately 60% of your time will be…

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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