Senior Solution Architect

Wipro

Bengaluru

Presencial

INR 4.000.000 - 7.000.000

Jornada completa

Hace 4 días
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Formación

  • 15+ years in Industrial/Manufacturing Technology, Engineering, AI or Digital Transformation.
  • Strong expertise in AI, GenAI and Agentic AI, with production experience.
  • 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.

Responsabilidades

  • 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, EAM/CMMS 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.

Conocimientos

AI strategy
CoE leadership
Stakeholder engagement
Team leadership
GenAI
Agentic AI
Industrial AI
Digital Twins

Educación

Engineering/Computer Science degree

Herramientas

PLM
MES/MOM
SCADA
ERP
IoT

Descripción del empleo

We are looking for a seniorPractice Leader to build and lead the Industrial Autonomy Center of Excellence (CoE). The role will focus on applyingAI, GenAI and Agentic AIacross 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 thestrategy, offerings, solutions, innovation, talent, partnerships and go-to-marketfor the Industrial Autonomy practice.

Key Responsibilities
  • Define and execute theIndustrial Autonomy CoE strategy and roadmap.
  • Build offerings acrossAI for Design and AI for Industrial Operations.
  • Drive solutions leveragingGenAI, Agentic AI, AI Agents, Multi-Agent Systems, Industrial AI, Digital Twins, Edge AI and Physical AI.
  • Develop autonomous manufacturing solutions spanningMES/MOM, process optimization, quality, maintenance, energy, robotics and connected operations.
  • Create AI solutions forengineering design, simulation, product development and Digital Thread.
  • Define architectures integrating AI withPLM, 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 ofAI, engineering and industrial domain specialists.
Required Experience
  • 15+ yearsin Industrial/Manufacturing Technology, Engineering, AI or Digital Transformation.
  • Strong expertise inAI, GenAI and Agentic AI, with experience taking AI solutions into production.
  • Experience building or leading aCoE, practice, consulting organization or large transformation portfolio.
  • Strong understanding ofmanufacturing, engineering and industrial operations.
  • Knowledge ofLLMs, RAG, AI Agents, Multi-Agent Systems, Knowledge Graphs, Digital Twins and Industrial AI.
  • Exposure toPLM, 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.

Do

1. Demand generation through support in Solution development

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

2. 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

3. Team Management

a. Talent Management

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

Deliver

No. Performance Parameter Measure

1. Demand generation # PoC supported

2. Revenue generation through delivery Timeliness, customer success stories, customer use cases

3. Capability Building & Team Management # Skills acquired

Applications from people with disabilities are explicitly welcome.

If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com . Do not email your resume to this ID as it is not monitored for resumes and career applications.

Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at ombuds.person@wipro.com .

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.

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