Engineering Program Manager at Bosch Group

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Data Science, Project Management, Stakeholder Management, Agile Methodologies, Cross-Functional Team Leadership, Technical Specifications, API Integrations, Cloud-Native Solutions, Data Governance, DevOps, MLOps, Business Acumen, Strategic Thinking, Communication Skills

Industry

Software Development

Description

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. Job Description 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 modern 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. Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

The Engineering Program Manager will lead and mentor a multidisciplinary AI engineering team, translating business strategies into product roadmaps and managing project budgets and timelines. They will also act as the primary liaison among technical teams, business stakeholders, and external partners.