AI & Engineering Transformation Consultant - Digital Engineering & R&D

Capgemini; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 1,800,000 - 2,600,000; Full time

Job summary

Capgemini Hyderabad seeks a seasoned consultant to drive AI and intelligent automation initiatives across automotive, aerospace, life sciences, and manufacturing clients. You will blend advisory work with hands-on delivery, shaping PLM transformations and engineering process optimization.

You will lead discovery workshops, map As-Is/To-Be processes, and translate complex requirements into deployable AI solutions, partnering with client teams to achieve measurable business value.

Qualifications

• Experience in business and engineering consulting.
• Delivery of AI and/or intelligent automation projects, client-facing preferred.
• Industry exposure in automotive, aerospace, life sciences, or discrete/process manufacturing.

Responsibilities

• Advise clients across sectors on AI adoption and intelligent automation.
• Support PLM and product development transformation engagements with requirements gathering and design.
• Embed with client teams to run AI discovery workshops and map processes and data workflows.
• Translate business challenges into AI/automation solutions and validate with stakeholders.
• Lead workshops and manage multi-cultural project teams to drive outcomes.
• Develop assets and playbooks on AI trends like Generative AI and digital twins.

Skills

Business consulting

Engineering consulting

AI & automation

Client-facing delivery

Project leadership

Process mapping

Workshop facilitation

SAFe/Agile

Education

Bachelor’s degree in engineering

MBA or PGDM (advantage)

Tools

Jira

Confluence

Visio

Signavio

Job description

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

• 1. 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.
• 2. 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.
• 3. Embed with client teams to run AI discovery workshops, map complex process and data workflows, and align solution architecture with business outcomes.
• 4. 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.
• 5. 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.
• 6. 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.
• 7. Scope, design, and shape AI and automation solutions from opportunity definition and ideation through to solution design and proof-of-concept.
• 8. Proactively identify additional automation and AI opportunities within client processes that can unlock further value.
• 9. Collaborate closely with client teams to understand core business challenges and take ownership of the technical success of the engagement.
• 10. Bridge domain and software, translating engineering and R&D requirements into implementable technical solutions grounded in an understanding of real industrial operations.
• 11. 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.
• 12. Lead stakeholder management, facilitate workshops, and operate effectively across multi-cultural and multi-geography environments.

Functional Focus

• 1. Project and product management
• 2. New Product Development
• 3. Engineering transformation
• 4. Process mapping
• 5. Product/portfolio standardization and modularization
• 6. Knowledge management
• 7. Stakeholder management
• 8. Workshop facilitation

Must have:

• 1. Business and engineering consulting experience.
• 2. Demonstrated experience in delivering AI and/or intelligent automation projects, ideally in a client-facing capacity.
• 3. Core industry experience in: automotive, aerospace, life sciences, or discrete/process manufacturing, with a sound understanding of the associated business processes.
• 4. Robust product development and R&D experience.
• 5. Strong functional knowledge of at least one Product Lifecycle Management (PLM) suite.
• 6. Proficiency in business process mapping and value-stream mapping (e.g. Visio, Signavio).
• 7. Know how of Agile methodologies (SAFe, Scrum, Kanban) and Software Development Lifecycle (SDLC).
• 8. Strong project management, requirement gathering, and stakeholder engagement skills.

Good to have:

• 1. Generative AI and agentic AI project experience.
• 2. Experience across engineering transformation domains: process/project transformation, PLM software transformation, manufacturing transformation, or servitization/service transformation.
• 3. Design for X (Value, Six Sigma, Cost).
• 4. Exposure to digital twins, product/portfolio standardization and modularization, and knowledge management.
• 5. Familiarity with Agile tools (Jira, Confluence) and cloud platforms.

Education

Bachelors degree in engineering, preferably in Mechanical, Automotive, Production, Electronics, or Industrial disciplines.

An MBA or PGDM qualification is an added advantage.