AI Solution Architect

GE Vernova, Inc.; Telangana; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Vernova, Inc. in Telangana, India, seeks an experienced AI Solution Architect to bridge control systems and AI, leading the digital transformation in gas power controls environments.

You will design and implement end-to-end architecture that enables AI/ML models to run securely and efficiently within OT such as Mark VIe controllers and HMI platforms. Responsibilities include architectural leadership, defining on-prem and cloud infrastructure for AI workloads, and hardening for cybersecurity

Qualifications

• 12-15 years of experience in industrial control systems and Gen AI.
• Deep knowledge of Mark VIe controller platforms and HMI architectures.
• Experience in designing scalable AI solutions and MLOps.
• Understanding of cybersecurity and compliance standards in power environments.

Responsibilities

• Architectural leadership: design and validate AI-ready platform lifecycle tools and scalable AI deployment.
• Infrastructure design: define on‑prem and cloud architectures for AI workloads.
• System hardening: ensure cybersecurity and compliance for assets and installations.
• Cross-functional collaboration: translate business needs into AI requirements with agile delivery.
• Global project coordination: drive multiple AI programs across manufacturing, sourcing, and suppliers.
• Continuous improvement: optimize AI development lifecycle from data ingestion to model inference.
• Support & deployment: provide high-level tech support during deployment of AI-enhanced controls.

Skills

Industrial Control Systems

Gen AI

AI/ML Architecture

Network & Security Engineering

Compliance & Cybersecurity

Virtualization & Cloud

Agile Leadership

Scripting (Python)

Education

Bachelor's degree in Engineering or related field

Tools

Mark VIe

ToolboxST

HMI platforms

SDN

Active Directory

Job description

Job Description Summary

This role for strategic AI Solution Architect bridging between control systems and artificial intelligence to lead the digital transformation in control system platforms. You will be responsible for designing and implementing the end-to-end architecture that allows AI and Machine Learning models to run securely and efficiently within Gas Power Controls environments to bridge the gap between traditional Operational Technology (OT) such as Mark VIe controllers and HMI platforms with modern AI frameworks. Ensure that our AI solutions are not only innovative but also hardened, compliant with global energy standards (NERC/CIP, IEC 62443), and seamlessly integrated into the lifecycle management.

Roles and 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.

Required Skills

• 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.

Desired Skills

• 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.

Additional Information

Relocation Assistance Provided: Yes