Company Description Bosch Global Software Technologies Private Limited is a 100 owned subsidiary of Robert Bosch GmbH one of the world s leading global supplier of technology and services offering end-to-end Engineering IT and Business Solutions With over 27 000 associates it s the largest software development center of Bosch outside Germany indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US Europe and the Asia Pacific region Roles Responsibilities Managerial Strategic Lead and mentor a multidisciplinary AI engineering team ML engineers data scientists AI agents specialists etc Translate business strategies into product technology roadmaps and delivery plans Work closely with Enterprise Architecture Product and Leadership to ensure strategic alignment and platform-scale feasibility Manage project budgets resources timelines and vendor relationships Define OKRs KPIs and value outcomes for AI-driven initiatives Ensure knowledge sharing documentation and operational playbooks for AI platforms and agentic solutions Technical Delivery Execution Plan and oversee the development lifecycle of agentic AI systems including data pipelines LLM agent orchestration evaluation frameworks and integration layers Coordinate with the Enterprise Architect to ensure solution integrity scalability compliance and interoperability with enterprise systems Drive the execution of proof-of-concepts prototypes and pilot deployments transitioning them to production environments Facilitate architectural discussions related to LLM selection fine-tuning and observability Agentic workflow frameworks and orchestration tools API integrations microservices and system interoperability Data security access governance and MLOps Oversee QA testing benchmarking and performance evaluation of AI models and agent workflows Business Stakeholder Management Act as the primary liaison among technical teams business stakeholders and external partners Gather and prioritize requirements from business units and stakeholders Convert business requirements into technical specifications acceptance criteria and success metrics Present project progress risk posture and performance insights to executives Drive change management adoption strategies training and enablement for AI-enabled workflows Qualifications Experience Qualifications 5 years of experience in technology program project management product delivery or solution ownership roles Experience working on AI ML data platforms enterprise SaaS or agentic automation technologies Background working with cross-functional engineering architecture and business teams in large complex organizations Demonstrated success delivering enterprise technology initiatives from inception through production deployment Strong business acumen to connect AI investments with ROI operational efficiency or revenue impact Additional Information Required Skills Competencies Business Leadership Strong strategic thinking with ability to articulate business value of AI initiatives Excellent stakeholder management communication and presentation skills Proven ability to manage cross-functional teams in fast-evolving technical environments Skilled in Agile methodologies Scrum Kanban and up-to-date delivery management practices Technical Knowledge Manager-Level Good understanding of Machine Learning and LLM concepts AI agentic architectures and tool orchestration frameworks Data pipeline architecture storage and governance APIs microservices and cloud-native solution patterns DevOps MLOps fundamentals CI CD model lifecycle management Ability to evaluate technical tradeoffs and advise on solution approaches without needing to build them directly Project Management Strong experience with planning scheduling sprint and backlog management and risk mitigation Experience integrating external vendors platform partners and third-party AI tools

📌 Engineering Program Manager (Bengaluru)
🏢 Bosch
📍 Bengaluru