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Senior AI Business Consultant

Tata Consultancy Services
Rosemead, CA
Full-time
AI tools:
TensorFlow
PyTorch
Hugging Face
GPT
Claude
Llama
Gemini
Azure Machine Learning
AWS SageMaker
Google Vertex AI
Applications go directly to the hiring team

Full Description

Job Description

The Senior AI Consultant will lead AI-driven transformation initiatives for North American Utilities clients. This role targets senior practitioners with deep strategic advisory experience, strong technical credibility, and a proven track record of building and scaling AI teams and solutions. Candidates who have led AI departments, Centers of Excellence, or founded / operated AI-focused companies will be given strong preference.

Roles & Responsibilities

Define and lead AI & GenAI strategy for electric, gas, and water utilities

Advise CIO, CTO, CDO, and business leaders on AI-led operating model transformation

Architect and deliver end-to-end AI and GenAI solutions from concept to production

Lead large-scale AI programs across grid operations, asset management, customer operations, and energy transition

Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP)

Build and scale AI teams, Centers of Excellence, and reusable accelerators

Support pre-sales, RFPs, executive solutioning, and strategic pursuits

Qualifications

Technical Expertise:

AI / ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face

Generative AI & LLMs: GPT, Claude, Llama, Gemini; prompt engineering and agentic architectures

Cloud AI Platforms: Azure Machine Learning, Azure OpenAI, AWS SageMaker & Bedrock, Google Vertex AI

MLOps: CI/CD pipelines, model monitoring, governance, retraining, and security

Data Platforms: Databricks, Snowflake, cloud-native data lakes

Utility Systems & Data: SCADA, AMI, OMS, GIS, DERMS, EAM

Preferred Skills / Background

Former Head of AI, Chief AI Officer, AI Practice Leader, or AI Startup Founder

Experience running AI departments, AI CoEs, or small AI-focused companies

* Proven record of building AI teams and scaling production-grade AI solutions

Prior consulting experience with North American utilities Certifications

Relevant Certifications In AI/ML And Cloud Platforms

Azure AI Engineer Associate

AWS Certified Machine Learning Specialty

Google Professional Machine Learning Engineer

Certifications in Generative AI tools

Education

Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field (Master’s or PhD preferred)

Salary Range: 252,000-341,000 a year

Applications go to the hiring team directly