External opportunity
GN-I&E-Industrial Reinvention Deployed Engineer (RDE) – Manager
Added 7 Nov 2026 · Engineering
Job description
Job Description:
Management Level: Consultant / Manager / Senior Manager
Location: Bangalore / Gurgaon / Mumbai / Pune / Hyderabad(Hybrid)
Role Overview
Leads deployed engineering teams working directly with client business, operations, and technology stakeholders to solve complex industrial problems through AI-enabled solutions. The role combines technical and solution leadership with industrial transformation, client engagement, and value realization
Key Responsibilities
Work with senior client stakeholders to identify high-value operational challenges and translate them into AI-enabled solution opportunities.
Lead solution architecture, engineering, and deployment across AI, data, cloud, and enterprise platforms.
Define technical approaches across AI orchestration, cloud architecture, distributed systems, data pipelines, DevOps, and enterprise integration.
Lead deployed engineering teams from problem discovery and prototyping through production deployment and scale-up.
Apply industrial domain knowledge across manufacturing, maintenance, supply chain, quality, warehouse, and connected operations.
Drive solution adoption, stakeholder alignment, and measurable operational and business outcomes.
What We Are Looking For
Strong experience leading AI, software, data, or platform engineering teams in complex client environments.
Ability to connect business problems, industrial processes, technology architecture, and measurable value.
Strong solution architecture capabilities with sufficient hands-on technical depth to guide engineering decisions and challenge delivery teams.
Experience working with senior business, operations, engineering, and technology stakeholders. Strong understanding of industrial operations and the ability to identify where AI and digital technologies can materially improve performance.
Core Skills
Technical: Solution Architecture, AI Platform Engineering, Agent Orchestration, AI Product Development, Data Products, Distributed Systems, Cloud Architecture, Enterprise Integration, Software Engineering, DevOps, Data Pipelines, Platform Modernization.
Industrial & Client: Manufacturing Transformation, Asset Management, Supply Chain Optimization, Operational Excellence, Connected Operations, Predictive Maintenance, Production Planning, Quality Management, Warehouse Operations, OT Strategy, Digital Manufacturing, Plant Analytics, Value Realization.
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Bengaluru, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Location & work arrangement
Listed work locations
- Bengaluru, India