Role Overview:

The role operates at the intersection of engineering domain expertise, artificial intelligence, and hands-on solutioning. The successful candidate will engage directly with clients R&D, design, and manufacturing functions to understand how work is performed - the processes, people, and systems involved - and translate that understanding into AI and automation solutions, from ideation to solution design. The position combines advisory capability with delivery ownership, requiring both domain know-how and technical execution.

Key Responsibilities:

- Advise clients across the automotive, aerospace, life sciences, and manufacturing sectors on AI adoption, intelligent automation, and engineering and PLM transformation to drive innovation and business value.

- Support and deliver Product Lifecycle Management and product development transformation engagements, including requirement gathering, functional process optimization and solution design across the engineering value chain.

- Embed with client teams to run AI discovery workshops, map complex process and data workflows, and align solution architecture with business outcomes.

- Analyse and map industry workflows end to end, capturing As-Is and To-Be states, conducting gap analysis, and designing solutions aligned to client objectives and engagement scope.

- Act as the primary point of contact for the client on AI engagements, building trusted relationships and helping teams move quickly towards most viable solution.

- Translate complex, real-world business process challenges and user needs into structured AI and automation solutions that improves efficiency and embed intelligence into engineering workflows.

- Scope, design, and shape AI and automation solutions from opportunity definition and ideation through to solution design and proof-of-concept.

- Proactively identify additional automation and AI opportunities within client processes that can unlock further value.

- Collaborate closely with client teams to understand core business challenges and take ownership of the technical success of the engagement.

- Bridge domain and software, translating engineering and R&D requirements into implementable technical solutions grounded in an understanding of real industrial operations.

- Develop assets, accelerators, reusable playbooks and points of view on emerging trends, including Generative AI, agentic AI, digital twins, and IoT, in support of internal and client initiatives.

- Lead stakeholder management, facilitate workshops, and operate effectively across multi-cultural and multi-geography environments.

Functional Focus:

- Project and product management

- New Product Development

- Engineering transformation

- Process mapping

- Product/portfolio standardization and modularization

- Knowledge management

- Stakeholder management

- Workshop facilitation

Education:

Bachelors degree in engineering, preferably in Mechanical, Automotive, Production, Electronics, or Industrial disciplines. An MBA or PGDM qualification is an added advantage.