AI Architect

Must Have Technical/Functional Skills Technical Expertise

• Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
• Experience with Generative AI technologies and large language models (e.g., GPT-4, BERT, DALL-E).
• Expertise in cloud-native AI services:
  
  

oAzure: Azure Machine Learning, Cognitive Services, OpenAI Service

oAWS: SageMaker, Bedrock, Rekognition

oGoogle Cloud: Vertex AI, AutoML, Generative AI Studio

• Hands-on experience with MLOps practices, including CI/CD for model deployment, model monitoring, and retraining.
• Knowledge of utility-specific protocols, systems, and data types (e.g., SCADA, AMI, GIS).
  
  

Soft Skills

• Strong problem-solving skills, with the ability to translate business challenges into AI solutions.
• Excellent communication and stakeholder management skills, with the ability to present technical concepts to non-technical audiences.
  
  

Certifications

• Relevant certifications in AI/ML and cloud platforms:
  
  

oAzure AI Engineer Associate

oAWS Certified Machine Learning Specialty

oGoogle Professional Machine Learning Engineer

• Certifications in Generative AI tools (e.g., OpenAI or Hugging Face) are a plus.
  
  

Preferred Skills

• Knowledge of emerging trends in the utilities industry, such as energy transition, smart grids, and renewable energy integration.
• Experience with AI/ML applications in IoT and edge computing for utilities.
• Familiarity with AI frameworks for sustainability and carbon footprint reduction.
  
  

Experience Required

• 8+ years in AI/ML architecture, with at least 5 years focused on Power & Utilities.
• Proven track record of deploying AI solutions at scale in enterprise environments.
  
  

Roles & ResponsibilitiesAI/ML Strategy & Architecture

• 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

• D emand 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 SkillsSoft 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
  
  

Salary Range: $140,000-$180,000 a year

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Conven ience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.