Manager – Gen AI

Jobtailor

Chennai District

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+

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Job summary

Jobtailor in Chennai seeks a senior AI/ML project leader to own end-to-end delivery of AI & automation initiatives across clients, ensuring quality, timelines and scalable architectures.

You will manage cross-functional teams, budgets, and risk, drive GenAI adoption, governance, and compliant deployments, and translate business needs into measurable outcomes.

This role requires 8–12 years of experience, hands-on GenAI/LLMs/RAG with Vector/Graph DBs and cloud platforms (Azure/AWS/GCP).

Qualifications

  • 8–12 years of experience in AI/ML, intelligent automation, and cloud technologies.
  • Proven track record in managing large-scale AI projects and leading diverse teams.
  • Hands-on expertise in GenAI, LLMs, RAG, Vector DB, Graph DB, and cloud platforms (Azure, AWS, GCP).
  • Strong understanding of AI governance, security, and compliance frameworks.
  • Excellent stakeholder management and communication skills, with the ability to influence senior leadership.
  • Ability to translate business needs into technical solutions and deliver measurable business outcomes.
  • Experience in building reusable AI assets and accelerators to scale solutions across engagements.

Responsibilities

  • Own end-to-end delivery of AI & Automation projects across multiple clients and industry sectors, ensuring quality and timely execution.
  • Design and validate solution architectures for AI and automation initiatives, ensuring scalability, security, and compliance.
  • Manage cross-functional teams, project budgets, and timelines to deliver successful outcomes.
  • Engage with client stakeholders to understand business challenges and propose AI-driven solutions that create tangible value.
  • Implement governance frameworks for AI deployments, including ethical AI and risk management.
  • Drive adoption of emerging technologies such as GenAI, LLMs, RAG, and advanced automation platforms.
  • Contribute to thought leadership through whitepapers, case studies, and participation in industry forums.
  • Support business development initiatives, including solution demos, proposals, and client presentations.

Skills

AI/ML Project Management
GenAI Expertise
Cloud Platforms (Azure AWS GCP)
AI Governance & Compliance
Stakeholder Management
Cross-Functional Leadership

Tools

GenAI
LLMs
RAG
Vector DB
Graph DB

Job description

  • Own end-to-end delivery of AI & Automation projects across multiple clients and industry sectors, ensuring quality and timely execution.
  • Design and validate solution architectures for AI and automation initiatives, ensuring scalability, security, and compliance with regulatory standards.
  • Manage cross-functional teams, project budgets, and timelines to deliver successful outcomes.
  • Engage with client stakeholders to understand business challenges and propose AI-driven solutions that create tangible value.
  • Implement best practices and governance frameworks for AI deployments, including ethical AI and risk management.
  • Drive adoption of emerging technologies such as GenAI, LLMs, RAG, and advanced automation platforms.
  • Contribute to thought leadership through whitepapers, case studies, and participation in industry forums.
  • Support business development initiatives, including solution demos, proposals, and client presentations.
Requirements
  • 8–12 years of experience in AI/ML, intelligent automation, and cloud technologies.
  • Proven track record in managing large-scale AI projects and leading diverse teams.
  • Hands-on expertise in GenAI, LLMs, RAG, Vector DB, Graph DB, and cloud platforms (Azure, AWS, GCP).
  • Strong understanding of AI governance, security, and compliance frameworks.
  • Excellent stakeholder management and communication skills, with the ability to influence senior leadership.
  • Ability to translate business needs into technical solutions and deliver measurable business outcomes.
  • Experience in building reusable AI assets and accelerators to scale solutions across engagements.
Core Competencies

Demonstrates expertise in managing AI and automation projects, with a strong focus on solution architecture, compliance, and stakeholder engagement. Proven ability to drive technology adoption and deliver measurable business outcomes through innovative AI solutions.

Highest-signal resume keywords
  • AI/ML Project Management
  • GenAI Expertise
  • Cloud Technologies (Azure, AWS, GCP)
  • AI Governance and Compliance
  • Stakeholder Management
Hard Skills
  • AI/ML
  • Intelligent Automation
  • Solution Architecture
  • Risk Management
  • Building Reusable AI Assets
Soft Skills
  • Excellent Communication
  • Influencing Senior Leadership
Industry Keywords
  • AI Governance
  • Compliance Frameworks
  • Ethical AI
  • Cross-Functional Team Management
  • Business Development
Tools & Technologies
  • GenAI
  • LLMs
  • RAG
  • Vector DB
  • Graph DB
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