21 days ago
Montréal, CanadaSenior
Responsibilities
- Design, build, and optimize AI agents and multi-agent systems for reasoning, planning, retrieval, workflow automation, and task execution.
- Develop LLM- and RAG-based agentic workflows using APIs, tools, enterprise knowledge sources, memory, orchestration, and decision-making capabilities.
- Prototype, test, and refine proofs of concept and MVPs that demonstrate measurable business value and can scale to production.
- Build predictive, generative, and agentic AI solutions using machine learning, evaluation, and analytics practices.
- Engineer reusable platform-ready components, prompts, connectors, orchestration patterns, evaluation flows, and knowledge integrations.
- Align solutions with the Global AI Platform architecture, tooling, deployment patterns, governance standards, and engineering practices.
- Operationalize solutions through testing, observability, monitoring, reliability controls, documentation, and handoff requirements.
- Support onboarding of Canada AI use cases through discovery, fit-gap assessment, remediation, and readiness activities.
- Create 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.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- Hands-on enterprise experience developing machine learning, generative AI, or agentic AI solutions using governed and 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, and MLOps/LLMOps practices.
- Ability to build secure, scalable, platform-ready AI solutions and collaborate with architecture, MLOps, product, risk, and business stakeholders.
- Experience designing, evaluating, and monitoring production-grade AI agents or agentic workflows is preferred.
- Understanding of Responsible AI, model governance, security review, risk management, and production approval processes in regulated environments is preferred.
- Experience building reusable enterprise AI capabilities such as copilots, workflow automation, component libraries, InnerSource assets, and shared engineering patterns is preferred.
- Experience migrating prototypes or locally built AI solutions to enterprise platforms, with exposure to SRE practices, observability, incident response, and production readiness, is preferred.
- 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 is preferred.
- Bilingual English and French skills are an asset; both languages are required for successful candidates in Québec to support clients from other provinces.
Benefits
- Hybrid working arrangement in Montreal, Quebec.
- Flexible environment supporting learning, career growth, well-being, and inclusion.
- Eligible employees may receive health, dental, mental health, vision, disability, life, AD&D, adoption/surrogacy, wellness, and employee/family assistance benefits.
- Retirement savings plans, including pension and global share ownership plans with employer matching, plus financial education and counseling resources.
- Paid holidays, vacation, personal and sick days, and statutory leaves in Canada.
- Eligibility for incentive programs and incentive compensation tied to business and individual performance.
Tech Stack
Categories
About Manulife
Manulife is a Toronto‑headquartered public financial services company that provides life and health insurance, retirement plans, and wealth and asset management to individuals and institutions. It earns premiums and fee income from insurance, investment, and advisory products delivered across Canada, Asia, and Europe, and operates as John Hancock in the United States. Founded in 1887, the company is listed on the Toronto Stock Exchange.