Senior AI Platform Engineer | Full-Stack & MLOps

Société Financière Manuvie

Toronto

Hybrid

CAD 113,000 - 163,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Société Financière Manuvie is seeking an experienced AI Platform Engineer to build and maintain scalable AI platform services, integrating Akka and AdaptiveML workflows. The role focuses on orchestration, model deployment, and governance, with a strong emphasis on reliability, security, and compliance.

You will contribute to CI/CD pipelines, developer toolchains, and multi-agent backends, leveraging cloud-native technologies to deliver high-performance solutions.

Qualifications

  • 5+ years in software engineering; 3+ years leading teams/projects in AI/ML or distributed systems.
  • Strong expertise in Akka and event-driven microservices at scale.
  • Hands-on experience with AI Foundry and AdaptiveML (or equivalent platforms for model lifecycle, orchestration, and continuous learning).
  • Proficiency in Scala or Java (Akka ecosystem), plus Python for ML tooling.
  • Experience with stream processing and data pipelines.
  • Solid MLOps background: model registries, feature stores, CI/CD for ML, containerization (Docker), orchestration (Kubernetes).
  • Cloud proficiency (AWS/Azure), Terraform or IaC, and secrets/IAM.
  • Deep understanding of distributed systems: consistency, partitioning, backpressure, resilience patterns.
  • Strong communication, documentation skills.

Responsibilities

  • Builds and maintains high-performance, fault-tolerant, secure, and scalable AI platform services and abstractions supporting diverse AI solutions with automation-first delivery.
  • Designs, builds, and maintains the technology platform's features and infrastructure, including hardware, software, and network components.
  • Integrate AKKA, AdaptiveML workflows for continuous/online learning, feature stores, model registries, and A/B experimentation.
  • Implement AI Foundry components for orchestration, feature engineering, model deployment, and governance.
  • Develop reusable reference patterns, inner-source components that meet reliability, security, and compliance standards.
  • Implement shared runtimes for multi-agent coordination, state management, memory persistence, and messaging.
  • Design interoperable APIs/SDKs used by data scientists and developers to build agent powered applications.
  • Maintain and improve CI/CD pipelines and developer toolchains for AI services to enable rapid, compliant delivery.
  • Evaluate emerging AI/ML infrastructure capabilities; prototype and introduce tools that improve developer productivity and reliability.
  • Develop and operate scalable backend services supporting high traffic agent interactions, retrieval operations, and real time execution flows.
  • Use cloud native technologies (containers, orchestration, IaC, CI/CD) to deliver reliable, cost-efficient services.
  • Optimize runtime performance across CPU/GPU/accelerator workloads.
  • Monitors and resolves persistent platform issues when surfaced by technical support teams such as bottlenecks, connectivity problems, and system failures.
  • Considers compliance and regulatory requirements throughout the platform lifecycle. Implements security measures, such as access controls, encryptions, and vulnerability assessments when applicable.
  • Partners with architects and business leaders to design and build robust platforms across all Global AI Platform capability layers.
  • Forms a holistic understanding of tools, key business concepts, and the data and cross-team dependencies.
  • Investigates new platform solutions to enhance service delivery experience.
  • Performs peer reviews of code / deliverables and analysis for continuous learning and continuous improvement.

Skills

Akka & event-driven microservices
Scala/Java (Akka ecosystem)
Python for ML tooling
Cloud platforms (AWS/Azure)
MLOps (CI/CD, model registries)
Docker & Kubernetes
Terraform / IaC
Strong communication

Tools

Docker
Kubernetes
Terraform

Job description

Société Financière Manuvie is seeking an experienced AI Platform Engineer to build and maintain scalable AI platform services, integrating Akka and AdaptiveML workflows. The role focuses on orchestration, model deployment, and governance, with a strong emphasis on reliability, security, and compliance.

You will contribute to CI/CD pipelines, developer toolchains, and multi-agent backends, leveraging cloud-native technologies to deliver high-performance solutions.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Platform Reliability Lead for AI Systems
Platform Reliability Lead for AI Systems

Société Financière Manuvie • Toronto

Hybrid
CAD 113,000 - 210,000
Assurance soins médicaux
Soins dentaires
Santé mentale
+2
AKS Cloud Platform Engineer — AI‑Driven Automation
AKS Cloud Platform Engineer — AI‑Driven Automation

Manulife Financial • Southwestern Ontario

Hybrid
CAD 86,000 - 136,000
Health benefits
Pension plan
Generous PTO
AI-Enabled Systems Lead for Banking Platforms
AI-Enabled Systems Lead for Banking Platforms

Bank of Montreal • Toronto

On-site
CAD 76,000 - 142,000
Health insurance
Tuition reimbursement
Retirement savings plans
Senior AI-Native Backend Engineer: Agent Platform
Senior AI-Native Backend Engineer: Agent Platform

United States Digital Space LLC • Toronto

Hybrid
CAD 188,000 - 242,000
Senior AI Platform Engineer (Enterprise ML & CI/CD)
Senior AI Platform Engineer (Enterprise ML & CI/CD)

Socket.dev • Winnipeg

Hybrid
CAD 80,000 - 130,000
Career development
Health and wellness benefits
Volunteer day
+3
Senior MLOps Platform Engineer
Senior MLOps Platform Engineer

Autodesk • Toronto

On-site
CAD 153,000 - 224,000
Production ML Engineer — AI Systems & MLOps
Production ML Engineer — AI Systems & MLOps

Kinvie • Canada

Hybrid
CAD 139,000 - 181,000
Bonus Structure
Employer-paid Benefits Plan
Health & Wellness Flex Account
+4
Agentic AI Platform Engineer
Agentic AI Platform Engineer

Socket.dev • Montreal (administrative region)

Hybrid
CAD 90,000 - 130,000
AI Platform Engineer
AI Platform Engineer

Acestack • Toronto

On-site
CAD 110,000 - 150,000
ML Engineer — Hybrid: Production AI & GenAI Platforms
ML Engineer — Hybrid: Production AI & GenAI Platforms

Manulife • Toronto

Hybrid
CAD 94,000 - 144,000
Incentive programs
Hybrid work environment