Find work in Canada.

624,785 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 58 mins ago
Senior Engineer - Data Engineering
Altimetrik
Vancouver, BC
Senior Engineer - Data Engineering, with Finance domain having 5-10 years of experience is required to design and develop robust data pipelines using Python and PySpark to support data…
Added 1 hour ago
SI
CAD Software Engineer, Principal-18736
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
You are a seasoned Software Architect or ASIC design engineer with a strong affinity for design automation and a deep understanding of the complexities involved in advanced semiconductor…
Added 9 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 9 hours ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB · NB · Virtual, New Brunswick
- Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 9 hours ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 9 hours ago
C
Senior Site Reliability Engineer (Edge Security)
Cvent
Fredericton, NB
- Full-time
Added 10 hours ago
GF
Systems Modeling Engineer
General Fusion Inc.
Richmond, BC
- Full-time
The Systems Modeling Engineer works with a team of subject matter experts to build systems and process models, of a fusion power plant, that is used to make system trade-offs, define…
Added 17 hours ago
3
Forward Deployed Engineer
3Pillar
Canada
- Full-time
Strong Python proficiency, with production experience using LangChain and/or LangGraph.

3Pillar

Forward Deployed Engineer

Canada

Full-time

Apply About employer

Applications open in a new tab.

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.).

Apply About employer

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

Report this job