Lead Engineer, Agentic Solutions – Automation

Manulife

. Lead strategic initiatives accelerating adoption of agentic platforms and intelligent automation across North American Wealth .

Posted 10/21/2026full-timeBoston • Massachusetts • United StatesSenior💰 $127,330 - $236,470 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading complex software engineering initiatives, focusing on the design and delivery of agentic systems and intelligent automation. Proficient in establishing engineering standards, operational practices, and driving organizational change through technical leadership.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceTechnical Leadership Across Enterprise PlatformsDesigning Distributed Applications and APIsExperience with Java, .NET, Python, Node.js, React, SQLEstablishing CI/CD and Automated Testing Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleEvent-Driven SystemsCloud-Native ServicesAI-Enabled ApplicationsWorkflow AutomationOrchestrationData ProtectionOperational ReadinessRisk ControlsTechnical Assessments

Soft Skills

Strong Facilitation SkillsEffective CommunicationCoaching and MentoringCommunity BuildingInfluencing Technical Direction

Tools & Technologies

Azure AI ServicesAzure Kubernetes ServiceDatabricksGitHub ActionsEnterprise Observability PlatformsLangGraphMicrosoft Agent FrameworkMCPA2ALLMOps/AgentOps

Industry Keywords

Wealth ManagementFinancial ServicesAI GovernanceResponsible AIHuman OversightAuditabilityComplianceDeveloper ExperienceReusable Technical CapabilitiesEvaluation and Observability

Tech Stack

Tools & technologies

AzureCloudJavaJavaScriptKubernetesNode.jsPythonReactSQL.NET

About the role

Key responsibilities & impact

Lead strategic initiatives accelerating adoption of agentic platforms and intelligent automation across North American Wealth
Own the design and delivery of key components of the agentic software development lifecycle and improve Developer Experience
Partner with engineering, architecture, product, operations, risk, compliance, and business teams to identify, prioritize, and deliver high-value agent use cases
Develop and drive adoption of reusable platform capabilities, reference architectures, patterns, tools, and integrations
Establish and operationalize engineering standards and governance for agent identity, access, data protection, tool use, human oversight, auditability, evaluation, release controls, and lifecycle management
Design and implement production-grade agentic systems using orchestration, retrieval, structured tool use, event-driven integration, and human-in-the-loop patterns
Establish evaluation, observability, and operational practices measuring quality, safety, reliability, latency, cost, adoption, and business value
Lead technical workshops, labs, demonstrations, and training
Coach and mentor engineers and build communities of practice
Evaluate models, frameworks, platforms, and vendors and make recommendations
Influence technology and portfolio direction through prototypes, technical assessments, architecture decisions, and data-driven recommendations

Requirements

What you’ll need

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
Experience with 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 LangGraph, Microsoft Agent Framework, MCP, A2A, Azure AI services, Azure Kubernetes Service, Azure AI Search, Databricks, GitHub Actions, enterprise observability platforms, LLMOps/AgentOps, AI governance, Responsible AI, and financial services or wealth management

Benefits

Comp & perks

Incentive programs and incentive compensation tied to business and individual performance
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
Adoption/surrogacy and wellness benefits
Employee/family assistance plans
Retirement savings plans, including pension/401(k) savings plans
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time annually in the U.S.
Statutory leaves of absence
Hybrid working arrangement
Reasonable accommodation during the application process