Senior Business Consultant

Tata Consultancy Services

San Francisco (CA)

On-site

USD 252,000 - 341,000

Full time

2 days ago
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Job summary

Tata Consultancy Services in San Francisco seeks a Senior AI Consultant to lead AI-driven transformation initiatives for North American Utilities clients. The role targets senior practitioners with strategic advisory credibility and a track record of building scalable AI teams and solutions.

You will architect and deliver end-to-end AI and GenAI solutions, guiding executive stakeholders and establishing governance across grid operations, asset management, and customer operations.

Qualifications

  • Requires deep strategic advisory experience for utilities.
  • Proven track record in building and scaling AI teams and solutions.
  • Experience leading AI departments, Centers of Excellence or AI startups preferred.

Responsibilities

  • Define and lead AI & GenAI strategy for electric, gas, and water utilities.
  • Advise CIOs 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, and customer ops.
  • Establish AI governance, Responsible AI, and regulatory compliance (e.g., NERC CIP).
  • Build and scale AI teams, Centers of Excellence, and accelerators.
  • Support pre-sales, RFPs, executive solutioning, and strategic pursuits.

Skills

GenAI & LLMs
MLOps
Governance & Compliance
Strategic advisory
Team leadership

Education

Bachelor's degree in Computer Science, AI/ML, Data Science

Tools

TensorFlow
PyTorch
Scikit-learn
Hugging Face
Azure Machine Learning
Azure OpenAI
AWS SageMaker
Bedrock
Google Vertex AI
Databricks
Snowflake
SCADA
AMI
OMS
GIS
DERMS
EAM

Job 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

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