Lead Java Backend Developer (AI) - 439

Role and Overview of the role

The role is part of Client Digital Organization within Platform Services. The engineer will work across multiple scrum teams and repositories, reviewing the entire Java code base from a security, quality, architecture, and AI perspective. The position reports directly to manager and works with tech leads across multiple scrum teams. The individual is expected to identify issues, resolve issues, generate pull requests, track security issues through resolution, drive AI and security best practices, mentor engineers, and improve developer productivity and engineering excellence.

Top Skills

l Strong Java development background

l Technical leadership and mentoring experience. 2+ years of technical leadership experience

l Security Architecture, Application Security, Cloud Security

l AWS. AWS services including: Lambda, ECS, EKS, AWS databases and other AWS services

l Generative AI, AI Agents, LLM-powered applications. Approximately 2 years of production AI experience

l GitHub repositories

l AI development tools, Coding assistance tools

l Modern developer productivity platforms

Additional Details:

l Understands software architecture and organizational effectiveness

l Passionate about AI and its impact on software engineering

l Advocates for developers and improves engineering experience

Position’s Contributions to Work Group :

Technical Architecture & AI Integration

• Design and orchestrate multi-agent workflows and stateful AI systems using modern frameworks like LangChain, LangGraph, AutoGen, or CrewAI.

• Integrate foundation models (e.g., Anthropic Claude, OpenAI GPT, Google Gemini) via secure API gateways, managing token limits, costs, and rate-limiting.

• Architect data models optimized for AI-native structures, integrating relational databases with vector databases for semantic search and Retrieval-Augmented Generation (RAG).

• Implement robust white-box testing and continuous evaluation metrics to monitor AI outputs for factual correctness, hallucinations, and safety compliance.

• Champion secure, reliable, and scalable software solutions through architectural leadership, risk management, and continuous improvement of engineering practices.

Typical task breakdown:

Technical Leadership & Workflow Optimization:

• Mentor and scale an engineering team, establishing engineering standards, best practices and architectural governance for secure coding, continuous integration, and cloud-native deployment.

• Drive AI-assisted engineering velocity by integrating next-gen development tools (e.g., Cursor, Claude Code, Windsurf) into the team’s daily Software Development Life Cycle (SDLC).

• Establish governance policies and coach developers on the responsible use of AI, focusing on input data sensitivity, license compliance, and security guardrails.

• Evaluate existing systems, services, APIs, and data models to identify opportunities for modernization, scalability, and performance improvements.

Influence Across Teams & Champion Developer Experience:

• Facilitate technical leadership forums with Product Owners, Technical Leads, Architects, and Engineering Managers.

• Drive conversations around architecture, engineering health, technical debt, AI adoption, and continuous improvement.

• Mentor engineers and technical leaders on system design, software architecture, and engineering excellence.

Foster collaborative decision-making through architecture reviews, RFCs, and technical discussions.

• Promote self-service engineering capabilities and platform enablement.

• Drive automation initiatives that improve productivity and software quality.

Interaction with team :

• Significant interaction required with Scrum team. Interaction during all scrum ceremonies such as Daily Standups, Sprint Planning, Grooming, Retro, Demo etc. Also need to interact with team for PR Reviews, also need to engage with other teams as needed.

Work environment :

Strong collaboration required.

Education & Experience Required:

- Bachelor’s degree in Computer science or Electrical engineering or related field, Plus 10+ years exp

- Master Degree plus 8+ years exp

Core Software Engineering

• Backend Systems: Deep proficiency in backend environments, microservices architectures, and API design using Java.

• Cloud & DevOps: Extensive experience with containerization (Docker, Kubernetes) and public cloud infrastructure like AWS

AI & LLM…