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Added 20 mins ago
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Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)
AceStack
Toronto, ON
- Full-time
Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg / Snowflake Open Catalog, Python, PySpark, and SQL.
Added 50 mins ago
IS
AI/ML Lead (Sagemaker)
Iris Software Inc.
Toronto, ON
- Contract
Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers,…
Added 1 hour ago
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Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…for systems and infrastructure issues and will work closely with DevOps, Network, DBA, Security, and application teams to deliver reliable, secure, scalable infrastructure in support of…
Added 1 hour ago
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AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 12 hours ago
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Senior Director, Engineering
Jobgether
Canada
- Full-time
…power, area, and yield. Combining deep circuit-design expertise with strategic leadership, you will also serve as a senior technical partner to customers throughout presales, integration,…
Added 13 hours ago
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Graph Data Scientist
Swoon
Toronto, ON
- Contract
Partner with data engineers to develop scalable data ingestion, entity-resolution, feature-engineering, and graph-processing pipelines using Python, SQL, Spark, Databricks, or similar…
Added 14 hours ago
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Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB · NB · Virtual, New Brunswick
- Full-time
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999,…
Added 14 hours ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999,…
Added 14 hours ago
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Machine Learning (Summer 2027)
Dawson
Toronto, ON
- Internship
Proficiency in Python is required; experience with TypeScript and Rust is considered an asset.
Added 19 hours ago
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RQ11580 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Familiarity with Python and libraries like pandas,
Added 22 hours ago
3
Forward Deployed Engineer
3Pillar
Canada
- Full-time
Strong Python proficiency, with production experience using LangChain and/or LangGraph.
Added 1 day ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 day ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…

3Pillar

Forward Deployed Engineer

Canada

Full-time

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Job details

Job type: Full-time
Experience: 10+ years of professional software engineering experience, including 2+ years building and shipping production AI systems (not prototypes).
Posting language: English
Posted: Nov 8, 2026

Original job description

Forward Deployed AI Engineer

Responsibilities

Embed on-site or in tight virtual proximity with client teams for the life of the engagement, and identify the highest-leverage workflow to build first, then the next.

Build, test, and harden production-grade integrations (APIs, MCP connectors, data pipelines) directly against client systems.

Own the last mile: deployment, monitoring, user adoption, and iteration based on real usage, not just proof-of-concept handoff.

Run build-measure-learn cycles with client stakeholders, translating ambiguous business problems into scoped technical solutions.

Act as a trusted technical counterpart to client engineering leads and executive sponsors; communicate tradeoffs in business terms.

Contribute reusable patterns, connectors, and accelerators back to HelixAI (Atlas, Nexus, AIRE) for future engagements.

What Good Judgment Looks Like Here

Simplifies complexity fast: turns a messy client environment into a clear, sequenced plan without waiting for a full spec.

Decides soundly under pressure and owns the call, rather than escalating everything or waiting to be told what to do.

Writes production code directly when that's what moves the engagement forward. This isn't an architecture-only or advisory seat.

Spots risk early and adapts, rather than discovering a blocker after it's already cost the engagement time.

Turns what's learned in the field into something reusable, not a one-off fix for one client.

Qualifications

10+ years of professional software engineering experience, including 2+ years building and shipping production AI systems (not prototypes).

Depth in retrieval architecture (RAG), agent orchestration/tool-use patterns, and evaluation pipeline design.

Strong Python proficiency, with production experience using LangChain and/or LangGraph.

Hands-on AWS experience across core compute, storage, and AI/ML services (e.g., Bedrock, Lambda, S3).

Demonstrated ability to work independently and ambiguously in a client-facing, field environment.

Hands-on experience integrating with enterprise systems via APIs, webhooks, or connector frameworks.

Prior experience in a forward-deployed, solutions engineering, or field engineering role.

Nice to Have

Experience with agentic SDLC methodologies and AI-assisted development tooling (Claude Code, Cursor, GitHub Copilot, or equivalents).

Familiarity with RBAC, audit logging, and governance requirements for regulated or enterprise clients.

Background in a specific vertical (financial services, asset management, healthcare, etc.).

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More about this job

Responsibilities

Embed with client teams to identify high-impact workflows, build and harden production AI integrations, and own deployment, monitoring, adoption, and iteration. Translate ambiguous business needs into scoped technical solutions, advise client stakeholders, and contribute reusable patterns and tools for future engagements.

Requirements

Requires 10+ years of professional software engineering experience, including at least 2 years building and shipping production AI systems, with expertise in RAG, agent orchestration, evaluation pipelines, Python, LangChain or LangGraph, and AWS. Candidates must also have enterprise integration experience and be able to work independently in ambiguous, client-facing field environments; prior forward-deployed, solutions engineering, or field engineering experience is required.

Skills

Python
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool-Use Patterns
Evaluation Pipeline Design
LangChain
LangGraph
AWS
Amazon Bedrock
AWS Lambda
Amazon S3
API Integration
MCP Connectors
Data Pipelines
Production AI Systems

Visa sponsorship

Not detected in the job text

Keywords

Forward-Deployed Engineering
Production AI Systems
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool Use
Evaluation Pipelines
Python
LangChain
LangGraph
AWS
Amazon Bedrock
AWS Lambda
Amazon S3
APIs
MCP Connectors
Webhooks
Data Pipelines
Enterprise Systems
Production Integrations
Deployment
Monitoring
User Adoption
Build-Measure-Learn
Client-Facing Engineering
Solutions Engineering
Field Engineering
Agentic SDLC
Claude Code
Cursor
GitHub Copilot

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