- Job ID: 860551

- 7 - 12 Years

- 1 Opening
- Hyderabad, Kolkata

Role description

The AI Lead is responsible for end‑to‑end AI solution architecture and technical leadership across complex client engagements. This role drives scalable, secure, and enterprise‑grade AI implementations, mentors delivery teams, and ensures high‑quality outcomes aligned with GT standards, Responsible AI principles, and business objectives.
Key Responsibilities

- Own AI solution architecture, technical design, and implementation strategy
- Lead AI delivery across multiple workstreams and teams
- Define and enforce standards for AI, GenAI, data, and integration patterns
- Design scalable RAG, agent‑based, and orchestration architectures
- Guide teams on AI governance, security, privacy, and Responsible AI
- Lead client architecture discussions, technical workshops, and executive demos
- Review solution designs, code patterns, and delivery artifacts
- Mentor and coach consultants, senior consultants, and associates

Skills

Core Tools & Technologies

Microsoft Ecosystem

- Azure AI Foundry / Azure AI Studio
- Azure OpenAI
- Advanced prompt engineering
- RAG, agent orchestration, evaluation frameworks
- Copilot Studio (Premium)
- Enterprise copilots, plugins, Direct Line, voice capabilities
- Azure AI Search
- Azure Integration Services
- Azure Functions, Logic Apps
- Service Bus, Event Grid
- Power Platform
- Enterprise‑grade Power Apps, Dataverse, advanced automation
- CI/CD pipelines using Azure DevOps

AWS & Google Cloud
AWS AI / GenAI
Amazon Bedrock (LLM orchestration, multi‑model strategies)
AWS Lambda, event‑driven architectures
S3 and data integration patterns

Google Cloud AI
Vertex AI (GenAI workflows, model integration)
BigQuery (analytics and AI‑driven insights)

GenAI / LLM Platforms
Anthropic Claude




Advanced reasoning, summarization, and enterprise GenAI use cases

Experience designing multi‑LLM and vendor‑agnostic AI architectures
Programming & Engineering
Python (solution frameworks, orchestration, tooling)
REST APIs, integration design
Secure enterprise integration patterns

Skills Required

- Robust architecture and solution design skills
- Proven technical leadership and mentoring capability
- Deep understanding of enterprise AI and GenAI patterns
- Stakeholder management, risk identification, and mitigation
- Ability to translate business strategy into scalable AI platforms

Required Certifications:
Microsoft Certified: Azure AI Engineer Associate (AI‑102)
Or
AWS Certified Machine Learning – Specialty
Or
Google Professional Machine Learning Engineer

About Grant Thornton INDUS

Grant Thornton INDUS is the global capability center for Grant Thornton US, the U.S. member firm of Grant Thornton International Ltd., a leading global network of independent audit, tax, and advisory firms. Founded in Chicago in 1924, Grant Thornton US is one of the leading accounting and advisory firms in the U.S., bringing together $4B+ in revenue, 56 U.S. offices, and a multi-national platform spanning 20 countries with 25,000 people. It combines deep expertise, advanced technology, and a collaborative mindset to help clients solve complex challenges and grow with confidence. Since 2012, Grant Thornton INDUS has brought together 3,300+ professionals across Tax, Audit, Advisory, Client Services, Innovation, and Enabling Functions to deliver high-impact solutions for Grant Thornton US and its global network. Recognized as a Great Place To Work® for three consecutive years and among India’s Top 15 Best Workplaces™ in Professional Services 2026, INDUS offers a high-performance culture where people are trusted, supported, and empowered to grow.

📌 AI - Lead consultant (Kolkata)
🏢 Grant Thornton INDUS
📍 Kolkata