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Manulife Financial

Global financial services: insurance and investments

Lead Engineer - Agentic Solutions & Automation

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of progressive software engineering experience, including technical leadership across complex enterprise platforms or transformation programs.
  • Ability to own and drive complex cross-functional initiatives, influence technical direction, and deliver organizational change through engineering leadership rather than formal authority.
  • Hands-on experience designing and delivering distributed applications, APIs, event-driven systems, and cloud-native services using technologies such as Java, .NET, Python, Node.js, React, and SQL.
  • Experience establishing production engineering practices across continuous integration and continuous delivery, automated testing, security, observability, reliability, and operational readiness.
  • Experience designing or implementing AI-enabled applications, agents, workflow automation, or large language model-based solutions using retrieval, tool calling, orchestration, and structured outputs.
  • Working knowledge of AI evaluation, guardrails, privacy, security, human oversight, auditability, and risk controls for regulated environments.
  • Ability to translate business processes and strategic objectives into reusable technical capabilities, delivery roadmaps, and measurable outcomes.
  • Experience leading technical workshops, training, design reviews, and executive-level discussions.
  • Experience coaching engineers and raising organizational capability through standards, reference implementations, documentation, and communities of practice.
  • Bachelor's degree in Computer Science, Engineering, or an equivalent combination of education and professional experience.

Responsibilities

  • Lead strategic initiatives that accelerate adoption of agentic platforms and intelligent automation across North American Wealth, delivering measurable improvements in engineering effectiveness, operational efficiency, and business outcomes.
  • Own the design and delivery of key components of the agentic software development lifecycle, improving Developer Experience across discovery, requirements, design, development, testing, review, deployment, operations, and continuous improvement.
  • Partner with engineering, architecture, product, operations, risk, compliance, and business teams to identify, prioritize, and deliver high-value agent use cases across financial operations, back-office functions, marketing, and advisor and customer journeys.
  • Drive the development and adoption of reusable platform capabilities, reference architectures, patterns, tools, and integrations that enable teams to deliver agents securely and efficiently.
  • Lead the establishment and operationalization of engineering standards and governance for agent identity, access, data protection, tool use, human oversight, auditability, evaluation, release controls, and lifecycle management in partnership with architecture, risk, security, and compliance stakeholders.
  • Design and implement production-grade agentic systems using orchestration, retrieval, structured tool use, event-driven integration, and human-in-the-loop patterns.
  • Establish and evolve evaluation, observability, and operational practices that enable teams to measure task completion, quality, safety, reliability, latency, cost, adoption, and business value throughout the solution lifecycle.
  • Lead technical workshops, labs, demonstrations, and training to build practical agentic engineering capability across development teams and business partners.
  • Coach and mentor engineers, build communities of practice, and raise organizational capability as teams move from proofs of concept to governed production solutions.
  • Evaluate models, frameworks, platforms, and vendors; make pragmatic recommendations based on capability, interoperability, security, cost, performance, and strategic fit.
  • Influence technology and portfolio direction through prototypes, technical assessments, architecture decisions, and data-driven recommendations to senior engineering and business leaders.

Desired Qualifications

  • Experience with agent orchestration frameworks and open integration standards such as LangGraph, Microsoft Agent Framework, Model Context Protocol, Agent2Agent, or equivalent technologies.
  • Experience creating an internal developer platform, paved-road capabilities, reusable agent tooling, or self-service engineering experiences.
  • Experience with Azure AI services, Azure Kubernetes Service, Azure AI Search, Databricks, GitHub Actions, and enterprise observability platforms.
  • Strong large language model operations or agent operations experience, including prompt and model versioning, evaluation datasets, automated quality gates, tracing, telemetry, rollout strategies, and regression management.
  • Experience establishing AI governance and Responsible AI practices aligned with enterprise risk, security, privacy, compliance, and model-risk expectations.
  • Experience delivering automation or AI solutions in financial services, particularly wealth management, financial operations, or regulated customer workflows.
  • Demonstrated success measuring adoption, developer productivity, operational efficiency, quality, risk reduction, or customer outcomes from platform investments.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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