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TMC Canada

AI Platform Engineering Specialist

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Apply About employer

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Original job description

Your challenges ?

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’sTechnology principles and drives efficiency, consistency, controls, security and strong governance while promoting innovation. This platform enables teams to build applications that leverage AI capabilities and accelerates the adoption of AI across the business.

This role is for a platform engineering specialist who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The team is looking for energetic, multi-disciplinary candidates who are eager to contribute to scalable, secure, enterprise-wide solutions.

Design, build and operate the AI Gateway’s Azure and AWS deployments, taking them from proof of concept to production.

Develop and extend Python services using FastAPI / Flask to provide the Gateway’s inference, onboarding and administrative APIs.

Integrate new model providers and model families, including Azure AI Foundry / Azure OpenAI and AWS Bedrock, covering request signing, streaming responses, failover and quota handling.

Implement cloud-native authentication and secrets handling, including Entra ID with Managed Identity and workload federation, AWS IAM roles and STS, with the goal of eliminating stored credentials.

Build and evolve the entitlement and authorization data layer across SQL Server and PostgreSQL, including schema changes, migrations and data-correctness controls.

Own platform controls including rate limiting, token accounting, content guardrails, audit logging and chargeback reporting.

Deploy and run services on Kubernetes, including on-premises, AKS and EKS, using Helm, GitOps and Terraform, while keeping CI/CD pipelines healthy with Jenkins and GitHub Actions.

Build observability capabilities across metrics, logs and dashboards using Prometheus, Grafana, Loki and Snowflake.

Work with cloud platform, network and security teams on connectivity, egress policy, network controls and architecture reviews, and produce the evidence required for those reviews.

Support production through on-call participation, incident investigation, fixes and platform hardening.

Write tests and documentation as part of delivery and review peers’ changes.

What do we expect from you?

The minimum required skills necessary for this role:

Strong, production-grade Python, including a web framework such as FastAPI or Flask, and a real testing discipline.

Hands-on Kubernetes experience: deploying, configuring and troubleshooting workloads, not solely reading manifests.

Practical OIDC / OAuth 2.0 experience, including token validation, JWKS, client-credentials flows, claim and audience handling.

Hands-on Microsoft Azure experience across at least three of: AKS, Entra ID, Azure OpenAI or Azure AI Foundry, Key Vault, Azure Database for PostgreSQL, Azure Cache for Redis, and Azure Monitor.

Hands-on Amazon Web Services experience across at least three of: IAM and STS / assume-role, SigV4 request signing, Bedrock, EKS, VPC endpoints and private networking, Secrets Manager, and CloudWatch.

Infrastructure as code experience with Terraform, Bicep or CDK, and CI/CD experience with Jenkins or GitHub Actions.

SQL and relational data modelling experience, including schema migrations.

Clear written and verbal communication skills, with the ability to work directly with security, network and platform teams.

Preferred qualifications:

Experience building or operating an API gateway, reverse proxy or multi-tenant platform.

LLM platform engineering experience, including streaming and server-sent events, token accounting, prompt and response guardrails, and model evaluation.

Kafka and Snowflake experience for audit and consumption data pipelines.

Observability depth with Prometheus and PromQL, Grafana, Loki and OpenTelemetry.

Redis or Valkey experience beyond basic caching, including counters, TTLs and distributed rate-limiter semantics.

Experience delivering in a regulated enterprise environment with corporate proxies, private networking and strict change control.

What can you expect from TMC ?

We are the global home of employeneurs : a group of highly skilled engineers, and digital experts who combine technical excellence with an entrepreneurial mindset to deliver high-tech solutions with positive impact for leading companies

across multiple industry sectors.

At TMC, we believe that People Drive Technology, that’s why an employeneur is much more than just an average consultant. You’ll be part of an international community where your expertise is valued, your ambitions are supported and your career is tailored to your personal and professional goals, all while helping to shape the future of technology.

Why choose Employeneurship ?

The best solutions are created by people who are empowered to grow. That's why we are redefining the IT and Engineering Consulting market with a unique business model that combines the security of traditional employment with the freedom and ownership needed to develop your entrepreneurial mindset.

Employeneurship model is built around five key principles :

Long-term work relationship : Enjoy the stability of a permanent contract while working on challenging projects with leading organizations ;

Individual profit sharing : Benefit directly from the value you create through a transparent profit-sharing model ;

YOUniversity : Access to continuous learning, technical development and personal growth trainings and coaching designed around your career ambitions ;

Business Cells : Expertise-drive networks that foster collaboration, knowledge sharing, and technical excellence to drive innovation ;

The Entrepreneurial Lab : A place to bring your most innovative ideas into reality, explore new technologies, and contribute to future start-ups opportunities.

TMC is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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More about this job

Responsibilities

Build, deploy, and operate a secure, enterprise-wide AI development platform and gateway across Azure and AWS, including Python APIs, model integrations, authentication, authorization, and platform controls. Run services on Kubernetes, maintain infrastructure and CI/CD, develop observability and audit capabilities, collaborate with security and network teams, and support production through testing, documentation, and incident response.

Requirements

Requires production-grade Python and testing, hands-on Kubernetes experience, practical OAuth 2.0/OIDC knowledge, and experience with at least three specified services in each of Azure and AWS. Candidates also need infrastructure-as-code and CI/CD experience, SQL data modeling and migrations, and strong communication skills; API gateway, LLM platform, observability, and regulated-enterprise experience are preferred.

Skills

Python
FastAPI
Flask
Kubernetes
OAuth 2.0
OpenID Connect
Microsoft Azure
Amazon Web Services
Terraform
CI/CD
SQL
API Gateway Engineering
LLM Platform Engineering
Prometheus
Grafana
PostgreSQL

Benefits

Permanent Contract
Individual Profit Sharing
Continuous Learning and Development
Training and Coaching
Career Development

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Development Platform
AI Gateway
Python
FastAPI
Flask
Azure
AWS
Azure OpenAI
Azure AI Foundry
Amazon Bedrock
Kubernetes
AKS
EKS
Terraform
Bicep
GitHub Actions
Jenkins
OAuth 2.0
OpenID Connect
Entra ID
AWS IAM
SigV4
SQL Server
PostgreSQL
Prometheus
Grafana
Loki
Snowflake
Kafka

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