As an AI/ML Engineering Leader, you will architect, scale, and operationalize intelligent enterprise solutions that drive automation, innovation, and measurable business outcomes. This role leads enterprise-wide AI adoption, with a strong focus on Large Language Models (LLMs), Generative AI, Agentic AI, and MLOps, operating across the broader technology and data ecosystem.

You will partner closely with business leaders, product owners, data engineering teams, and cloud platform teams to translate strategy into production-grade AI solutions at scale.

Key Responsibilities

AI Strategy & Leadership

- Define and execute enterprise AI/ML roadmaps aligned with business KPIs and digital transformation goals.
- Lead end-to-end AI programs, from ideation and proof-of-concept to production deployment and scaling.
- Mentor and grow high-performing AI/ML engineering teams, fostering engineering excellence and innovation.
- Act as a trusted advisor to stakeholders on AI feasibility, value realization, and risk management.

Generative AI & LLM Engineering

- Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and enterprise knowledge stores.
- Build and orchestrate agentic AI workflows using tools such as LangGraph and autonomous decision frameworks.
- Fine-tune and adapt large language models (LLMs) for domain-specific use cases, optimizing cost, latency, and accuracy.
- Implement prompt engineering, evaluation frameworks, and guardrails to ensure protected and reliable model behavior.

Advanced NLP & AI Applications

- Develop advanced NLP solutions using transformer-based architectures for document intelligence, chatbots, and knowledge management.
- Implement AI-driven service transformation solutions on platforms such as ServiceNow, enabling intelligent automation and self-service.
- Apply Vision AI techniques where applicable for multimodal enterprise use cases.

MLOps, CI/CD & Governance

- Build and maintain scalable MLOps pipelines for training, testing,



deployment, and monitoring of models.
- Establish CI/CD pipelines for ML workflows, ensuring reproducibility and reliability.
- Implement model monitoring, drift detection, explainability, and auditability.
- Enforce ethical AI governance, security, privacy, and regulatory compliance standards.

Cloud & Data Engineering

- Architect and deploy AI solutions using AWS SageMaker and AWS Bedrock, following cloud-native best practices.
- Design scalable ETL and feature engineering pipelines to ensure AI-ready data.
- Enforce data quality, lineage, and governance standards across structured and unstructured data.
- Leverage distributed processing frameworks (e.g., Spark) for large-scale data and model workloads.

Required Qualifications

- 15+ years of experience in IT, engineering, or consulting, with 5+ years in AI/ML engineering leadership roles.
- Deep expertise in Python and R, with hands-on experience using:
- Pandas for data analysis and feature engineering
- Scikit-learn for classical machine learning and model evaluation
- PySpark / Spark for large-scale data processing and ML pipelines

- Strong hands-on experience with TensorFlow and PyTorch.
- Proven expertise in LLM fine-tuning, Generative AI, RAG architectures, NLP, and Vision AI.
- Solid proficiency in MLOps, including CI/CD, model monitoring, explain ability, and lifecycle management.
- Demonstrated experience with cloud-native AI development on AWS, including Sage MakerSageMaker and Bedrock.
- Excellent strategic thinking, leadership, mentoring, and stakeholder management skills.

Preferred Skills & Attributes

- Experience designing and implementing agentic AI systems and autonomous workflows.
- Proven track record of delivering enterprise-scale AI transformations with measurable ROI.
- Familiarity with ethical AI frameworks, responsible AI practices, and regulatory compliance.
- Strong understanding of cloud-native AI/ML architecture patterns and cost optimization.
- Exceptional communication, collaboration, and executive-facing presentation skills.

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