AI - Lead consultant

7 - 12 Years 1 Opening Bengaluru

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

• Strong 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’ comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn’t just what we do – it’s how we do it. We support and enable the firm’s purpose of making business more personal and building trust into every result. We’re collaborators – obsessed with quality and ready for anything – who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton’s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India – Bengaluru and Kolkata