Senior Solution Architect

We are looking for a senior Practice Leader to build and lead the Industrial Autonomy Center of Excellence (CoE). The role will focus on applying AI, GenAI and Agentic AI across two strategic areas:

• AI for Design: AI-led engineering, product design, simulation, digital thread, design optimization and engineering copilots.
• AI for Industrial Operations: AI-led manufacturing, autonomous operations, process optimization, quality, maintenance, energy, digital twins, robotics and Physical AI.

The leader will own the strategy, offerings, solutions, innovation, talent, partnerships and go-to-market for the Industrial Autonomy practice.

Key Responsibilities

• Define and execute the Industrial Autonomy CoE strategy and roadmap.
• Build offerings across AI for Design and AI for Industrial Operations.
• Drive solutions leveraging GenAI, Agentic AI, AI Agents, Multi-Agent Systems, Industrial AI, Digital Twins, Edge AI and Physical AI.
• Develop autonomous manufacturing solutions spanning MES/MOM, process optimization, quality, maintenance, energy, robotics and connected operations.
• Create AI solutions for engineering design, simulation, product development and Digital Thread.
• Define architectures integrating AI with PLM, MES, SCADA, Historians, ERP, CMMS/EAM, IoT and robotics.
• Lead customer workshops, consulting engagements, solutioning, proposals, PoCs and transformation roadmaps.
• Build reusable IP, accelerators, reference architectures and partner-led solutions.
• Build and mentor a high-performing team of AI, engineering and industrial domain specialists.

Required Experience

• 15+ years in Industrial/Manufacturing Technology, Engineering, AI or Digital Transformation.
• Strong expertise in AI, GenAI and Agentic AI, with experience taking AI solutions into production.
• Experience building or leading a CoE, practice, consulting organization or large transformation portfolio.
• Strong understanding of manufacturing, engineering and industrial operations.
• Knowledge of LLMs, RAG, AI Agents, Multi-Agent Systems, Knowledge Graphs, Digital Twins and Industrial AI.
• Exposure to PLM, MES/MOM, SCADA, IoT, Historian, ERP, EAM/CMMS and robotics.
• Strong executive-level customer engagement, consulting, solutioning and business development skills.
• Experience building teams, offerings, partnerships and go-to-market propositions.

Job Description

Role Purpose

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions.

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Do

Demand generation through support in Solution development

a. Support Go-To-Market strategy

i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales

b. Collaborate with different colleges and institutes for research initiatives and provide data science courses

Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions

a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions

b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options

Team Management

a. Talent Management

i. Support on boarding and training to enhance capability & effectiveness

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Deliver

No. Performance Parameter Measure Demand generation PoC supported Revenue generation through delivery Timeliness, customer success stories, customer use cases Capability Building & Team Management Skills acquired

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Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions.

Applications from people with disabilities are explicitly welcome.