Lead Full Stack Engineer, Agentic AI

Manulife • Boston, MA

22h • $127,330 - $236,470 • Hybrid

About The Position

The Lead Full Stack Engineer role at Manulife/John Hancock, will focus on Global Retirement Technology, offering the opportunity to sit 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. They'll gain hands-on experience building real-world AI agent systems at enterprise scale, with exposure to governance, compliance, and cross-divisional strategy. This will be a high-impact opportunity for an engineer to lead meaningful innovation while mentoring teams and influencing platform direction.

Requirements

• 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

Nice To Haves

• 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

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-theloop escalation
• 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

Benefits

• 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.
• employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level