Lead Consultant (Java) · 3007

A Technical Lead at Allianz is responsible for managing the technical delivery and maintenance of services within a tribe or COE, working across one or more squads. The role balances deep subject matter expertise, technical leadership, and substantial hands-on individual contribution. As an individual contributor, the Technical Lead is expected to actively build, debug, and engineer code as a core, day-to-day part of the role. Technical Leads coordinate the design, development, and testing efforts of develo pers across one or more squads, assist in the mentoring and knowledge sharing of best practices across chapters, and provide support during interviews and talent acquisition. As experts at their craft, AI Technical Leads leverage AI to accelerate the full development lifecycle this can include requirements elicitation to design, build, and test ing. They also providing guidance to product owners, architecture, and delivery managers on risk assessments, estimation, dependency analysis, environment strategies, and solution reviews. They have a strong understanding of the business domain, review and guide analysts in terms of design effectiveness, and are champions of quality and in novation within their tribe and chapters. As hands-on individual contributors, they remain active engineers personally designing, building, debugging, and shipping production code . Manually or via the orstration of AI agents and play a key role in enabling AI-augmented engineering practices across Java-based platforms and services. Technical Leads support the adoption of scalable AI patterns and platforms by collaborating with architecture and platform teams, assessing technical risks, dependencies, and cost implications related to AI usage. They help teams understand AI trade-offs, validate solution designs, and ensure AI components are maintainable, observable, and production-ready. They also promote AI literacy within squads and chapters, mentoring engineers on best practices, quality controls, secure and ethical use of AI, while continuously improving delivery speed, reliability, and overall engineering effectiveness. While AI and agentic coding form a large part of this role, deep hands-on development skills remain critical: the Technical Lead is expected to write, debug, and review code directly and to maintain strong, current engineering fundamentals. KEY ACCOUNTABILITIES