Lead Full Stack Engineer, Agentic AI

Overview

The Lead Full Stack Engineer role at Manulife/John Hancock focuses on Global Retirement Technology, at the intersection of enterprise engineering and cutting-edge Agentic AI. The position contributes to the company's transformation mission by designing and operationalizing autonomous AI agents that automate complex workflows, enhance developer productivity, and improve customer retirement journeys. The successful candidate will serve as a technical leader and architect, shaping how AI is adopted safely and responsibly across a large financial services organization. You'll gain hands-on experience building real-world AI agent systems at enterprise scale, with exposure to governance, compliance, and cross-divisional strategy. This is a high-impact opportunity to lead meaningful innovation while mentoring teams and influencing platform direction. Position Responsibilities Responsibilities

Design and implement autonomous AI agents (planner-executor, RAG-based) to automate internal workflows (code review, incident triage) and customer-facing journeys (plan enrollment, personalized nudges). Architect microservices, event-driven and serverless cloud solutions; design APIs and event streams enabling safe agent action. Embed AI governance controls including guardrails, prompt/content filtering, PII handling, bias checks, and human-in-the-loop. Lead root cause analyses, observability integration, and AIOps for CI/CD and incident response. Evaluate third-party AI platforms and model providers; lead cost/performance trade-off discussions. Mentor engineers in AI-safe design, prompt engineering, agent orchestration, and evaluation practices. Define success metrics (task completion rates, MTTR, customer outcomes) and operate agents with SLIs/SLOs. Required Qualifications

10+ years in Senior Digital Engineering roles, partnering with Architecture groups. Hands-on experience with Java Spring Boot, .NET, React, Node.js, Python, and SQL at large scale. Experience with cloud platforms, specifically AKS, with containerized services and model serving. Proficiency with DevOps tooling: GitHub Actions, SonarQube, Fortify, Snyk. Experience with monitoring/logging tools such as New Relic. Knowledge of data platforms such as Azure Databricks and building compliant data pipelines. Experience on large transformation projects including AI adoption roadmaps and governance. Bachelor of Science in Computer Science or equivalent. Financial Services experience preferred. Preferred Qualifications

Experience with LLMs and orchestration frameworks such as LangChain/LangGraph and agent patterns (Planner-Executor). Building RAG systems using vector databases (e.g., Azure AI Search) and knowledge graphs; prompt engineering and evaluation. Model hosting and inference experience (Azure OpenAI Service, Llama/OSS models) with cost/latency optimization. Safety, compliance, and governance expertise: policy enforcement, PII/PCI handling, and auditability in regulated environments. Strong MLOps/LLMOps skills: data curation, evals, telemetry, and prompt/version management. 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. If you are applying to this role in Massachusetts , the salary range is

$127,330.00 - $236,470.00 USD . Employees may also participate in incentive programs tied to business and individual performance. The role being advertised is an existing vacancy. Acerca de Manulife y John Hancock Manulife Financial Corporation is an international financial services provider that helps people make decisions more easily and live better. For more information, visit http://www.manulife.com. Manulife is an equal opportunity employer Manulife/John Hancock values diversity and is committed to equitable hiring, retention, advancement, and compensation. We administer all practices without discrimination by race, origin, religion, or any other legally protected characteristic. A Human Resources representative will assist applicants who require a reasonable accommodation during the application process. To request an accommodation, contact hr@manulife.com. Location Boston, Massachusetts Work Modality Hybrid Salary transparency The posted salary range is $127,330.00 USD - $236,470.00 USD. Actual pay will vary by location and factors such as experience, knowledge, and market conditions. If applying outside your primary location, contact hr@manulife.com for the range in your location. John Hancock offers a broad benefits program including health, dental, mental health, vision, disability, life, death and dismemberment coverage, and retirement savings plans. It also includes paid time off and other employee programs as applicable by law. We use data and analytics technologies, such as artificial intelligence (AI), to analyze the information you provide during the application process. For more information, refer to our personal information collection statement. Rights and notices

(various regulatory notices apply) Equity and Compliance

notices and links are provided where applicable. Company: John Hancock Life Insurance Company (U.S.A.)

#J-18808-Ljbffr