Mgr. Software Engineering-(AI)

- Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. - Be hands-on with code, maintaining high technical standards and actively participating in agent architecture, LLM integration patterns, agentic system design, code reviews, and helping engineers optimize their code. - Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex AI-powered software systems and applications. - Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, responsible AI development). - Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. - Guide the team in designing reliable, safe, and observable AI systems, including multi-agent orchestration, tool and skill design, and prompt engineering standards. - Play a pivotal role in the R.I.D.E. (Recommend, Inform, Decide, Execute) framework. - Understand CI/CD pipelines from build, test, to deploy phases. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 6+ years of experience in software development, with 2+ years in a technical leadership role and 2+ years in a people management role. - Ensure AI-enabled features are introduced safely, transparently, and compliantly. - Proven track record of leading and delivering large-scale, complex software projects. - Experience leading teams building SaaS, enterprise, or highly available production systems. - Deep expertise in one or more programming languages such as C#, .NET, Python, Java, or JavaScript. - Extensive experience with software architecture and design patterns. - Strong understanding of cloud technologies and DevOps principles. - Excellent problem-solving skills and attention to detail. - Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. - Master's degree or PhD in Computer Science, Engineering, or a related technical field. - Experience with LLM APIs (Gemini, OpenAI, Anthropic) or agent frameworks (Google ADK, LangChain, or similar). - Familiarity with AI evaluation, observability, and testing strategies for non-deterministic systems. - Understanding of RAG patterns, prompt engineering, and agentic workflow design. - Experience with cloud platforms like Azure, AWS, or GCP. - Familiarity with CI/CD pipelines and automation tools. - Demonstrated commitment to diversity and inclusion initiatives. - Familiarity with developing accessible technologies.