AI Tech Lead Java &Web_3008
Allianz SE23 days ago
India (city not specified)Staff+
Responsibilities
- Design, develop, debug, review, and ship applications and components across Java-based platforms and services.
- Coordinate technical design, development, testing, delivery, and maintenance across one or more squads.
- Select, standardize, and govern approved AI-enabled engineering tools and patterns while evaluating productivity, security, compliance, vendor lock-in, and cost.
- Design and guide prompt engineering, context assembly, RAG, agentic development, AI evaluation, and AI-powered automation practices.
- Define quality standards and quality gates for AI-generated code, including testing, validation, security checks, compliance controls, and human review before production.
- Troubleshoot runtime issues, improve performance and reliability, manage vulnerabilities and cyber risk, and advise security and service owners.
- Monitor AI impact, model and token usage, delivery metrics, defect density, output quality, drift, and hallucination risk.
- Provide estimates, refine requirements, assess dependencies and risks, review solutions, and advise product owners, architects, and delivery managers.
- Mentor engineers and chapter members through coaching, documentation, training, brownbags, and knowledge sharing.
- Support interviews and technical talent selection, monitor developer performance, and promote innovation and continuous improvement.
Requirements
- Strong full-stack development experience with Java, J2EE, Spring Boot, REST APIs, microservices, JPA/Hibernate, Angular, TypeScript, RxJS, JSPs, JavaScript, ORM, and rules engines.
- Experience designing scalable, maintainable, and secure applications using MVC, dependency injection, modular architecture, and object-oriented design.
- Experience integrating SQL and NoSQL databases, third-party APIs, legacy systems, authentication and authorization, OAuth2, JWT, and Spring Security.
- Expertise in prompt engineering frameworks, reusable prompt libraries, few-shot patterns, structured reasoning templates, and instruction hierarchies.
- Experience designing context assembly and RAG systems using source code, documentation, tickets, runtime data, embeddings, vector stores, and access-controlled knowledge.
- Ability to implement automated testing, linting, validation, security, compliance, AI evaluation, adversarial testing, red-team testing, and production monitoring for AI outputs.
- Experience scaling AI-powered engineering automation, modernizing codebases, and automating vulnerability remediation.
- Knowledge of responsible AI governance, auditability, token tracking, caching, model routing, AI-native development, and agentic development practices.
- Working knowledge of Australia's AI Ethics Principles, the National AI Centre's AI safety guidance, APRA CPS 230 and CPS 234, the Privacy Act 1988, and ISO/IEC 42001.
- Familiarity with DevSecOps, CI/CD, Ansible, Jenkins, GitHub Actions, Git, Bamboo, JUnit, Selenium, Jasmine/Karma, AWS or Azure, Kubernetes or OpenShift, and security practices including STRIDE, SAST, SCA, DAST, and OWASP Top 10 for LLM Applications.
- Significant experience delivering software into production in insurance or financial services and working with enterprise architecture methods and structured Agile or iterative SDLC processes.
- Strong technical leadership, mentoring, communication, documentation, negotiation, conflict resolution, stakeholder management, and risk and compliance skills.
- Basic exposure to AI tools is considered beneficial.
Benefits
- Hybrid work model with remote working and up to 25 days per year working from abroad.
- Company bonus scheme, pension, employee shares program, and employee discounts, with details varying by location.
- Career development, digital learning programs, international career mobility, and lifelong learning opportunities.
- Flexible working and health and wellbeing benefits, including healthcare and parental leave support.
- Inclusive workplace focused on innovation, delivery, empowerment, integrity, fairness, and equal opportunity.
Tech Stack
AngularAnsibleAWSAzureBambooGitGitHub ActionsJasmineJavaJavaScriptJenkinsJUnitKarmaKubernetesOpenShiftSeleniumSpring BootSQLTypeScript
Categories
About Allianz SE
Allianz SE is a Munich-based public company that provides property-casualty, life and health insurance, and asset management to individuals and businesses worldwide. It earns premiums and investment-management fees, operating through brands such as Allianz Commercial and asset managers including PIMCO and Allianz Global Investors. Founded in 1890 and listed on the Frankfurt Stock Exchange, it serves over 100 million customers in about 70 countries.