We are seeking a vision-driven AI/ML Engineering Leader to architect and scale intelligent enterprise solutions that transform business outcomes through innovation and automation. The ideal candidate will bring deep techno-functional expertise in LLMs, Generative AI frameworks, Agentic AI workflows, and MLOps, driving enterprise-scale AI adoption and measurable impact.

Chennai

Fulltime

Key Responsibilities

- AI/ML Strategy & Transformation
- Define and execute AI/ML roadmaps aligned with business KPIs.
- Lead enterprise-scale transformations by architecting end-to-end machine learning ecosystems.

- Generative AI & LLM Solutions

- Design and implement Retrieval-Augmented Generation (RAG) solutions and agentic AI workflows.
- Fine-tune LLMs for domain-specific applications and optimize inference efficiency using quantization and PEFT techniques.

- MLOps & Model Lifecycle Management

- Build scalable CI/CD pipelines for model deployment and monitoring.
- Develop explainability dashboards and ensure compliance with ethical AI governance.

- NLP & Text Analytics

- Deliver advanced NLP solutions leveraging transformer-based architectures for knowledge management and automation.

- AI Integration with ITSM Platforms

- Implement AI-driven service transformation for platforms like ServiceNow,



enabling intelligent incident management and anomaly detection.

- Cloud-Native AI Development

- Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.

- Data Engineering & Governance

- Design scalable ETL pipelines and enforce data governance standards for AI readiness.

- Leadership & Mentorship

- Foster high-performing global teams and promote AI adoption through ethical practices and cross-functional collaboration.

Required Skills & Qualifications

- Technical Expertise: Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, SageMaker.
- AI/ML Specialization: LLM fine-tuning, RAG, Generative AI, NLP, Vision AI.
- MLOps Proficiency: CI/CD pipelines, model monitoring, explainability, compliance frameworks.
- Cloud Experience: AWS cloud-native AI development.
- Soft Skills: Strategic thinking, leadership, mentoring, and stakeholder management.
- Experience: 15+ years in IT/consulting with at least 5+ years in AI/ML engineering leadership roles.

Preferred Qualifications

- Experience in agentic AI workflow design and autonomous systems.
- Proven track record of delivering enterprise-scale AI transformations.
- Familiarity with ethical AI governance and regulatory compliance frameworks.

📌 AI/ML Engineering Leader (Chennai)
🏢 TI Steps
📍 Chennai