MManulife logo

Manulife

Insurance · 35k people

Lead Engineer, Agentic Solutions & Automation

Posted 21 Oct

What’s this role about? The Lead Engineer will drive the adoption of agentic platforms and intelligent automation across North American Wealth, translating strategic objectives into scalable, production-ready capabilities. They will lead cross-functional initiatives, establish engineering standards, and mentor teams to deliver secure, reliable AI-enabled solutions.

Waterloo, Ontario
Hybrid
$127K – $236K
Full-time
10+ years exp
500 King St N, Waterloo, ON N2L
Bachelor degree

Skills required

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Company

About Manulife Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit https://www.manulife.com/ca/en/about-us/social-media-policy

Manulife

MManulife logo
10,001+ employees
Insurance
Public Company
419k LinkedIn followers
Raised $4.5B

Responsibilities

  • Lead strategic initiatives that accelerate the 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 SDLC, 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 that 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.

Qualification

TechnologySoftwareEngineeringFinance & AccountingData & Analytics

Required

  • 10+ years of progressive software engineering experience, including technical leadership across complex enterprise platforms or transformation programs.
  • Demonstrated ability to own and drive complex cross-functional initiatives, influence technical direction, and deliver organizational change through engineering leadership rather than formal authority.
  • Strong 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 CI/CD, automated testing, security, observability, reliability, and operational readiness.
  • Experience designing or implementing AI-enabled applications, agents, workflow automation, or LLM-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.
  • Strong facilitation and communication skills, including 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.

Preferred

  • Experience with agent orchestration frameworks and open integration standards such as LangGraph, Microsoft Agent Framework, MCP, A2A, 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 LLMOps or AgentOps 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.
  • The role being advertised is an existing vacancy.
  • 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.
  • Referenced Salary Location
  • Boston, Massachusetts

Benefits

  • Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
  • Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
  • We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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