Job 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.
*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.
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application