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GN-I&E-Industrial Reinvention Deployed Engineer (RDE) Manager
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GN-I&E-Industrial Reinvention Deployed Engineer (RDE) Manager
AccentureFresher
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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
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.
- 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.
More Info
Key Skills
data pipelines
data
enterprise platforms
