Senior Business Consultant
Job in
San Francisco, San Francisco County, California, 94102, USA
Listed on 2026-09-27
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-09-27
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Senior AI Consultant
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:
Tensor Flow, 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 Sage Maker & 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
Position Requirements
10+ Years
work experience
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