Agentic Engineer, Innovation

manulife

Montreal (administrative region)

On-site

CAD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Flexible work environment
Diversity & inclusion
Global team
Learning and development support

Job summary

Manulife is seeking an Agentic Engineer, Innovation to design, build, and scale agentic AI solutions for Canada AI on Manulife's Global AI Platform. You will create intelligent agents that reason, plan, retrieve information, connect with enterprise systems, and automate complex business workflows.

You will collaborate with Product, Data Science, MLOps, Technology, Risk, and Global AI Platform teams to move from prototype to controlled pilot and scalable production deployment.

Qualifications

  • Hands-on experience developing ML, generative AI, or agentic AI solutions in enterprise environments.
  • Strong Python and SQL skills, with experience in AI application architecture, orchestration, retrieval, and production monitoring.
  • Experience with LLMs, RAG, vector search, embedding models, agent frameworks, API integration, cloud-native development, CI/CD, and MLOps/LLMOps practices.
  • Ability to build secure, scalable, platform-ready AI solutions while collaborating with cross-functional teams.
  • Bilingualism in English and French is an asset; Québec experience recommended.

Responsibilities

  • Design, build, and optimize AI agents and multi-agent systems that support reasoning, planning, retrieval, workflow automation, and task execution.
  • Develop agentic workflows using LLMs, RAG, APIs, tools, enterprise knowledge sources, memory, orchestration, and decision-making capabilities.
  • Rapidly prototype, test, and refine proofs of concept and MVPs that demonstrate measurable business value and can scale beyond experimentation.
  • Build predictive, generative, and agentic AI solutions using sound machine learning, evaluation, and analytics practices.
  • Engineer reusable, platform-ready components, prompts, connectors, orchestration patterns, evaluation flows, and knowledge integrations.
  • Align solutions to Manulife's Global AI Platform architecture, tooling, deployment patterns, governance standards, and approved engineering practices.
  • Operationalize AI solutions with testing, observability, monitoring, reliability controls, documentation, and clear handoff requirements.
  • Support onboarding of priority Canada AI use cases to the Global AI Platform through discovery, fit-gap assessment, remediation, and readiness activities.
  • Contribute reusable reference architectures, code patterns, evaluation methods, playbooks, and development standards.
  • Ensure solutions meet Responsible AI, security, privacy, compliance, model risk, governance, and monitoring requirements.

Skills

Python
SQL
LLMs
RAG
API integration
Cloud-native development
MLOps/LLMOps
Prompt design
Security/compliance
Bilingual EN/FR (asset)

Education

Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field
Master's degree in a related field

Tools

Azure
AKS
PostgreSQL
Key Vault
Graph databases
Vector databases
Akka SDK
Java

Job description

The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and production-ready capabilities on Manulife's Global AI Platform.

In this role, you will create intelligent agents that reason, plan, retrieve information, connect with enterprise systems, and automate complex business workflows. You will work closely with Product, Data Science, MLOps, Technology, Risk, and Global AI Platform teams to move solutions from prototype to controlled pilot and scalable production deployment.

Position Responsibilities
  • Design, build, and optimize AI agents and multi-agent systems that support reasoning, planning, retrieval, workflow automation, and task execution.
  • Develop agentic workflows using LLMs, RAG, APIs, tools, enterprise knowledge sources, memory, orchestration, and decision-making capabilities.
  • Rapidly prototype, test, and refine proofs of concept and MVPs that demonstrate measurable business value and can scale beyond experimentation.
  • Build predictive, generative, and agentic AI solutions using sound machine learning, evaluation, and analytics practices.
  • Engineer reusable, platform-ready components, prompts, connectors, orchestration patterns, evaluation flows, and knowledge integrations.
  • Align solutions to Manulife's Global AI Platform architecture, tooling, deployment patterns, governance standards, and approved engineering practices.
  • Operationalize AI solutions with testing, observability, monitoring, reliability controls, documentation, and clear handoff requirements.
  • Support onboarding of priority Canada AI use cases to the Global AI Platform through discovery, fit-gap assessment, remediation, and readiness activities.
  • Contribute reusable reference architectures, code patterns, evaluation methods, playbooks, and development standards.
  • Ensure solutions meet Responsible AI, security, privacy, compliance, model risk, governance, and monitoring requirements.
Required Qualifications
  • Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  • Hands‑on experience developing machine learning, generative AI, or agentic AI solutions in enterprise environments using governed, reusable delivery patterns.
  • Strong Python and SQL skills, with experience in AI application architecture, orchestration, retrieval, prompt design, evaluation, integration, and production monitoring.
  • Experience with LLMs, RAG, vector search, embedding models, agent frameworks, API integration, cloud‑native development, CI/CD, and MLOps/LLMOps practices.
  • Ability to build secure, scalable, platform‑ready AI solutions while collaborating with architecture, MLOps, product, risk, and business stakeholder teams.
  • Bilingualism in English and French is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Québec.
Preferred Qualifications
  • Experience designing, evaluating, and monitoring production‑grade AI agents or agentic workflows on an enterprise AI platform.
  • Strong understanding of Responsible AI, model governance, security review, risk management, and production approval processes in regulated environments.
  • Experience building reusable enterprise AI capabilities such as copilots, workflow automation, component libraries, InnerSource assets, and shared engineering patterns.
  • Experience moving prototypes or locally built AI solutions to enterprise platforms, with exposure to SRE practices, observability, incident response, and production readiness.
  • Familiarity with Azure, AKS, PostgreSQL, Key Vault, graph and vector databases, agent orchestration, automated red teaming, LLM‑as‑a‑Judge evaluation, Akka SDK patterns, Java syntax, or financial services environments.
When you join our team

We'll empower you to learn and grow the career you want.

We'll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.

As part of our global team, we'll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin,

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