AI Solution Architect

GE Vernova

Hyderabad TS IN 26, India

Full Time

Posted October 21, 2026

Power Generation

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Listing evidence and provenance

Source: Workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 21, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Pay not available

Job Description

This role for strategic AI Solution Architect bridging between control systems and artificial intelligence to lead the digital transformation in control system platforms.

Key Responsibilities

Architectural Leadership: Lead the design, implementation, and validation of AI-ready platform lifecycle tools, scalability and deployment of predictive and generative AI models.
Infrastructure Design: Define complex network architectures and hardware/software configurations that support both on-prem edge computing and cloud-based AI workloads.
System Hardening: Make the system ready for Installation, configuration, patching, and hardening to ensure the highest levels of cybersecurity of assets.
Cross-Functional Collaboration: Interface with cross functional team including Principal Engineers, Product Line Managers to translate business needs into technical AI requirements, maintaining delivery plans using Agile methodologies.
Global Project Coordination: Drive and coordinate multiple AI-driven programs simultaneously across a global, cross-functional environment, ensuring alignment between manufacturing, sourcing, and suppliers.
Continuous Improvement: Implement Lean process methodologies to optimize the AI development lifecycle, from data ingestion at the controller level to model inference at the HMI.
Support & Deployment: Provide high-level technical support to field personnel during the deployment of AI-enhanced control systems and HMI platforms.

Requirements

12-15 years of relevant experience on the industrial control systems, platform architecture and Gen AI
Industrial Control Systems: Deep knowledge of MarkVIe controller platforms, ToolboxST, and HMI platform architecture.
AI/ML Architecture: Proven experience in designing scalable AI solutions, including knowledge of model deployment, data orchestration, and MLOps.
Network & Security Engineering: Expertise in routers, firewalls, switches, compute, and storage, specifically within Software-Defined Networks (SDN) and Active Directory environments.
Compliance & Cybersecurity: Hands-on application of cybersecurity technologies and standards, with a firm awareness of NERC/CIP and IEC 62443 requirements for power generation.
Virtualization & Cloud: Advanced proficiency in virtualization platforms, and integration of on-prem infrastructure.
Agile Leadership: Experience leading technical teams and managing complex delivery roadmaps in an Agile framework.
Scripting & Automation: Proficiency in scripting tools (Python, PowerShell, or Bash) to automate the deployment and monitoring of AI models.
GenAI & Data Strategy: Familiarity with Large Language Models (LLMs), Vector Databases, and Retrieval-Augmented Generation (RAG) within an industrial context.
Strategic Thinking: Ability to influence stakeholders by connecting AI technical capabilities for operational efficiency.
Domain Expertise: Understanding of GT, ST, HRSG operations, and power plant operation and maintenance.