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Added 19 mins ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
Design, develop and maintain reliable data ingestion, transformation and processing pipelines using Databricks and SQL/Python-based tooling.
Added 19 mins ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
Strong Python. You should be comfortable with SQL and with building APIs and services (FastAPI or similar).
Added 49 mins ago
MA
Support Specialist - AI Applications
Marsh Agency
Toronto, ON
- Full-time
2 years of experience in AI application support, monitoring with DataDog and Langsmith toolsHands-on support and development experience with one or more of: MEAN/MEARN stack, PostgreSQL, MS…
Added 49 mins ago
MA
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Marsh Agency
Toronto, ON
- Full-time
Experience in using advanced analytics and data manipulation software - R, Python, SAS, SQL, or SPSS.
Added 1 hour ago
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Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services…
Added 1 hour ago
MA
Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh Agency
Toronto, ON
- Contract
Basic familiarity with Python and the ability to reason through workflow logic and technical problem-solving tasks.
Added 1 hour ago
MA
SVP, Actuary
Marsh Agency
Toronto, ON
- Full-time
Coding experience in programming languages (i.e. Alteryx, R, Python, VBA, SQL)
Added 1 hour ago
MA
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh Agency
Montreal, QC
- Full-time
Expérience pratique récente avec Python et, idéalement, avec un autre langage serveur (C#, .NET, Java, Rust ou C++).
Added 2 hours ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Added 3 hours ago
NB
Analyst or Associate Financial Resource Management
National Bank of Canada
Montreal, QC
- Full-time
Programming skills (e.g., Python, SQL) or willingness to learn is an asset
Added 3 hours ago
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Analyst, Risk
Rogers Bank
Toronto, ON
- Full-time
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 6 hours ago
OT
Lead UX Developer (React)
Open Text Corporation
Waterloo, ON
- Other
As an experienced Software Developer, your extensive skills beyond the core set listed above (due to previous roles and other technology) can also be an asset and a differentiator.…
Added 7 hours ago
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Python SDET (Data Validation & API Testing)
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Python SDET to join our team supporting a leading banking client. In this role, you will design, develop, and maintain automated testing solutions with a…
Added 7 hours ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Added 7 hours ago
NY
Analytics Consultant, Decision Support, Business Intelligence - FT (J1126-0067)
North York General Hospital
Toronto, ON
- Full-time
Extract data, develop and generate standard reports, and respond to ad-hoc requests using Business Intelligence (BI) tools (e.g., Cognos, PowerBI, Tableau), SQL, R, Python, Excel or other…
Added 8 hours ago
Analyst, Risk
Rogers Communications
Toronto, ON
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 8 hours ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
The ideal candidate will have experience in ETL/Data Warehouse testing, backend/database validation, complex SQL queries, and end-to-end test automation. The candidate should be comfortable…
Added 9 hours ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 12 hours ago
KD
Premier directeur/Première directrice, Intelligence d’affaires et rapports | Senior Manager, Business Intelligence & Reporting
Keurig Dr Pepper
Mississauga, ON · Montreal, QC
- Full-time
Expérience avec Power BI, Tableau ou des outils similaires; la connaissance de SQL ou de Python est un atout
Added 12 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure…

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

The Opportunity

We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You will work closely with business users, subject matter experts, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What You Will Do

Work with subject matter experts, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.
Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build working solutions using real data and APIs, validate them with users, and iteratively harden them for production.
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Design batch, real-time, and streaming data pipelines and integrations across enterprise systems.
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Create evaluation datasets with subject matter experts, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with technical teams.
Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.
Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What You Bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.
Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.
Experience operationalizing MLOps/LLMOps, including model lifecycle management, automated deployment, monitoring, rollback, and production support.
Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.
Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable designs, define non-functional requirements, estimate effort, and drive implementation.
Financial services experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.
Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

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More about this job

Responsibilities

Partner with business users, subject matter experts, and engineering teams to understand workflows, assess real-world data, and deliver enterprise AI and data applications from prototype through production launch. Operate and improve deployed solutions by managing pipelines, model quality, monitoring, incidents, performance, adoption, and handover.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. A relevant bachelor's degree, financial services experience, and strong client-facing skills are required; relevant cloud, Kubernetes, AI, data, architecture, MLOps, or security certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Client-Facing Consulting
Financial Services

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
Financial Services
Model Monitoring
Data Lineage
Incident Management

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