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Test Manager
BCforward
Toronto, ON · Greater Toronto Area, Canada
- Contract
Some experience with GenAI tools for process automation or efficiency.
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Forward Deployed Solutions Lead
Accenture
Calgary, AB · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Experience deploying enterprise GenAI or Agentic AI solutions into production.
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API Lead Architect
Capgemini
Mississauga, ON
Exposure to GenAI/API integrations and cloud-native AI services.
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Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Brossard, QC
- Full-time
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Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Montreal, QC
- Full-time
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Generative AI Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
…execution, reporting, and stakeholder management.• Conduct AI/GenAI security, governance, risk, and compliance assessments.• Facilitate discovery workshops and interviews with security,…
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HR Technology Senior Consultant - Talent Applications
Deloitte
Toronto, ON
- Full-time
Proficiency in Generative AI concepts with the ability to apply GenAI practically within HR technology environments.
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Software Engineer - Platform Engineering
Deloitte
Toronto, ON
- Full-time
reusable platforms, automation, developer productivity, and engineering standards. The ideal candidate
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Software Engineer - Frontier
Deloitte
Toronto, ON
- Full-time
Experience using AI/GenAI tools in development workflows
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Manager, Machine Learning (Canada)
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…our customers. In the AI team at Clio, we use the latest in GenAI, and LLMs in particular, along with agentic systems, to build solutions that make our customers' work more streamlined and…
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ML Ops/AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
Proven experience in end-to-end lifecycle of ML Ops /GenAI platform build out in cloud (AWS preferred).
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AI Architect
Envision Technology Solutions
Canada
- Contract
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Added 2 days ago
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Software Developer 1 - API Management Platform
Intuit
Toronto, ON
- Full-time
Provides Starter code, GenAI based tooling and SDKs for API Producers to produce world class APIs and API consumers to discover and consume these APIs with ease.
Added 2 days ago
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Stratège, Produits IA | AI Product Strategist
Cossette
Montreal, QC
- Full-time
Travailler en étroite collaboration avec les développeur·euses GenAI pour questionner les fonctionnalités, évaluer la faisabilité, estimer les efforts et trancher sur les décisions…
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Telecom Network Solution Architect
CGI
Toronto, ON
- Full-time
Practical familiarity with AI, GenAI, or agentic AI as they relate to network operations and autonomous networks.
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Analyst - AI & Data Transformation
Deloitte
Toronto, ON
- Full-time
Enterprise AI strategy and GenAI applications
Added 2 days ago
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GEN AI Developer
Epsilon Solutions Ltd.
Mississauga, ON
- Contract
Lead and enable development teams to effectively use GenAI tools and frameworks.
Added 2 days ago
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Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
AWS / GCP Cloud Architecture or Developer Certifications.
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Software Engineer in Test
Kelly
Mississauga, ON
- Contract
Integrate AI/GenAI-assisted testing, intelligent test generation, and self-healing automation.
Added 2 days ago
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GEN Ai Developer
Experis Canada
Toronto, ON
- Contract
Lead workshops and train development teams on GenAI tools and best practices.
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AI Architect-Governance & Delivery Lead
CGI
Toronto, ON
- Full-time
…Candidates must demonstrate production experience designing GenAI, RAG, and agentic solutions, and applying AI-assisted engineering to improve productivity, quality, and delivery…
Added 2 days ago
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Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
…2030 T&O ambitions, including AI-native delivery and 30% of GenAI volume on open-weight models, into patterns teams actually…
Added 2 days ago
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Senior Director, AI Architecture
RBC
Toronto, ON
- Full-time
…2030 T&O ambitions, including AI-native delivery and 30% of GenAI volume on open-weight models, into patterns teams actually…
Added 2 days ago
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Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
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Senior Engagement Manager
EXL
Canada
- Full-time
Develop account growth strategies and identify cross-sell and upsell opportunities across analytics, data, AI, GenAI, and transformation services.

Apptoza Inc.

Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 27, 2026

Original job description

Role: Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)

Location: Toronto, ON – Hybrid

Job Description:

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 embed with business users, client SMEs, 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

Embed with client SMEs, 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 client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

Build thin working solutions using real client 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 client SMEs, measure model and LLM quality, perform structured error analysis, and prioritize improvements.

Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with client 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.

BFSI 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

Embed with client teams to understand workflows and data, validate solutions using real client data, and deliver enterprise AI and data applications from prototype through production launch and stabilization. Build and operate data pipelines and GenAI workflows, resolve technical blockers, measure quality and business impact, and complete handover with runbooks and knowledge transfer.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with strong hands-on skills in Python, PySpark, SQL, APIs, and production operations. Candidates should have experience with Claude and GenAI patterns, MLOps/LLMOps, enterprise cloud and security, and client-facing delivery; a relevant bachelor's degree is required, while relevant certifications are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
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
Encryption
Secrets Management
BFSI
Production Support

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