AI Architect

• Define and implement end-to-end AI/ML architectures, including model development, deployment, and monitoring, to solve business challenges in utilities (e.g., energy forecasting, predictive maintenance, and grid optimization).

• Architect and deploy Generative AI (Gen AI) solutions for applications.

• Design scalable AI/ML pipelines leveraging cloud-native platforms and open-source frameworks.

Industry-Specific AI Solutions

Develop AI-powered solutions for utility-specific use cases, such as:

• Demand Response: AI models for real-time energy demand prediction and load balancing.

• Asset Performance: Predictive maintenance models for critical infrastructure like transformers, power lines, and turbines.

• Customer Engagement: Personalization and sentiment analysis using AI to enhance customer experience and retention.

• Energy Transition: AI-driven insights for integrating renewable energy sources, managing distributed energy resources (DERs), and optimizing carbon reduction strategies.
 

Generative AI Expertise

• Implement Generative AI use cases, such as intelligent document processing, report generation, and scenario simulation using technologies like OpenAI, Hugging Face, Anthropic, and cloud-native Gen AI services.

• Enable conversational AI capabilities with tools like Azure OpenAI Service, Google Vertex AI, AWS Bedrock, and ChatGPT API.

Platform Expertise

• Leverage major AI/ML and data platforms, including Azure Machine Learning, AWS SageMaker, Google Vertex AI, and Databricks ML.

• Integrate AI models with existing utility systems (e.g., SCADA, OMS, DERMS) to deliver actionable insights.

AI Governance & Ethics

• Establish AI governance frameworks to ensure ethical use of AI, explainability, bias mitigation, and compliance with industry regulations (e.g., NERC CIP, FERC).

• Promote the responsible use of Gen AI technologies in enterprise applications.

Collaboration & Leadership

• Partner with business stakeholders, data scientists, and engineers to design AI strategies aligned with utility goals.

• Provide technical leadership to cross-functional teams and mentor junior architects and engineers.

Generic Managerial Skills 

Soft Skills:

• Strong communication and stakeholder management skills.

• Ability to translate complex technical solutions into business value for utility leaders.

• Support pre-sales activities including engaging prospects, conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement.

• Provide advisory services to existing and new customers on AI/Gen AI Strategy and Consulting

• Must be able to communicate with CTO and CXO level audience by demonstrating expertise in managing large AI Transformation programs