AI Advisor

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced AI Advisor / AI Consultant to guide enterprises in adopting and scaling AI and Generative AI solutions. You will define AI strategies, identify business use cases, and advise on governance and optimization of AI-driven systems.

The role requires hands-on expertise in AI/GenAI, MLOps, and cloud platforms (Azure OpenAI, AWS Bedrock). You will work with stakeholders to translate business needs into practical AI roadmaps and PoC implementations.

Qualifications

• Experience guiding AI adoption in enterprises with strategy and governance.
• Ability to translate business needs into AI solutions.
• Knowledge of GenAI, LLMs and responsible AI practices.
• Familiarity with MLOps / LLMOps.
• Experience with RAG architectures and prompt engineering.

Responsibilities

• Define and drive AI/GenAI strategy aligned with business goals.
• Identify AI use cases across functions.
• Advise on LLMs, GenAI, data science and automation.
• Design AI solution architectures (RAG, chatbots, predictive models).
• Guide technology choices (Azure OpenAI, AWS AI).
• Ensure Responsible AI practices, governance and compliance.
• Translate business needs into AI solutions with stakeholders.
• Provide roadmaps for AI adoption and digital transformation.
• Conduct AI maturity assessments and gap analysis.
• Support PoC and pilot implementations.
• Track KPIs and ROI for AI initiatives.

Skills

GenAI Expertise

LLMs

NLP

RAG Architecture

Prompt Engineering

Stakeholder Mgmt

Tools

Azure OpenAI

AWS Bedrock

GCP Vertex AI

Azure AI

Job description

AI Advisory / AI Consultant Job Description (JD)

Location

Hyderabad, Bangalore

Experience

8–12 years (flexible based on handson expertise)

Role Overview

We are looking for an experienced AI Advisor / AI Consultant to guide organizations in adopting and scaling Artificial Intelligence and Generative AI solutions. The role involves defining AI strategies, identifying business use cases, and advising on implementation, governance, and optimization of AI-driven systems.

Key Responsibilities

• Define and drive AI/GenAI strategy aligned with business goals
• Identify and evaluate AI use cases across business functions
• Provide advisory on LLMs, GenAI, data science, and automation solutions
• Design AI solution architectures (RAG, chatbots, predictive models)
• Guide teams on technology selection (Azure OpenAI, AWS AI, etc.)
• Ensure Responsible AI practices, governance, and compliance
• Collaborate with stakeholders to translate business needs into AI solutions
• Provide roadmaps for AI adoption and digital transformation
• Conduct AI maturity assessments and gap analysis
• Support PoC (Proof of Concept) and pilot implementations
• Track KPIs and ROI for AI initiatives

Required Skills

AI & GenAI Expertise

• Strong understanding of:
  • AI/ML, Deep Learning, and NLP
  • Generative AI, LLMs (GPT, LLaMA, etc.)
• Experience with:
  • RAG architecture, Prompt Engineering
  • AI use-case identification and solution design

Technology & Cloud

• Hands-on exposure to:
  • Azure AI / Azure OpenAI
  • AWS Bedrock / GCP Vertex AI (optional)
• Understanding of:
  • Data platforms and pipelines
  • APIs and system integrations

Consulting & Strategy

• Experience in:
  • Business consulting / digital transformation
  • Stakeholder management and client engagement
• Ability to:
  • Translate technical AI concepts into business value

Preferred Skills

• Experience in:
  • AI governance frameworks & Responsible AI
  • Industry-specific AI applications (Finance, Healthcare, Retail, etc.)
• Familiarity with:
  • MLOps / LLMOps
  • Change management practices
• Knowledge of:
  • Data privacy (GDPR, compliance policies)

Use Cases / Project Experience

• AI transformation strategy for enterprises
• GenAI adoption (chatbots, copilots, automation)
• AI-based decision support systems
• Process automation using AI/ML
• Customer experience and personalization

Key Competencies

• Strategic thinking and problem-solving
• Strong business acumen
• Communication and presentation skills
• Ability to influence senior stakeholders
• Analytical mindset

Nice to Have

• Certifications:
  • Azure AI Engineer
  • AI or consulting certifications
• Experience with:
  • Large-scale enterprise AI implementations