Tata Consultancy Services
AI Advisor
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹550,000 – ₹1,550,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
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
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