Senior AI Lead / Director

Senior AI Lead / Director – AI Programs & Solutions

Organization: SRM Tech
Location: Preferably Chennai, India

1. Role Overview

As a Senior AI Lead – AI Programs & Solutions, you will lead SRM Tech’s artificial intelligence programs, client engagements, and proprietary AI tool development initiatives. The role combines technical expertise with executive leadership, focusing on Go-To-Market (GTM) strategies, enterprise AI delivery, and positioning SRM Tech as a trusted partner in AI transformation.

You will lead multidisciplinary teams, manage strategic client relationships, and drive the adoption of Generative AI, Agentic AI workflows, and scalable AI/ML platforms. Experience in the Life Sciences / Pharmaceutical domain is a strong advantage.

2. Key Responsibilities

2.1 Strategic Leadership & GTM Execution

• Define and execute Go-To-Market (GTM) strategies for AI offerings, accelerators, and solution frameworks.
  
• Lead client presentations and present technical solutions, translating business challenges into actionable AI roadmaps.
  
• Lead internal product and tool development initiatives to build reusable, scalable, and high-value AI assets and frameworks.
  

2.2 Program Oversight & Delivery Excellence

• Oversee end-to-end delivery of complex AI/ML programs, ensuring timely, high-quality execution aligned with business objectives.
  
• Manage cross-functional teams comprising data engineers, data scientists, ML engineers, and solution architects.
  
• Establish delivery governance, quality assurance, and best practices across AI programs.
  
• Serve as the primary AI subject matter expert in client discussions, discovery workshops, and steering committee meetings.
  

2.3 Technical & Innovation Leadership

• Drive the adoption of Generative AI architectures, including Agentic AI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Vector Databases.
  
• Provide architectural oversight for scalable data pipelines and platforms, including Apache Spark, Kafka, and Databricks.
  
• Guide the development and implementation of classical ML and NLP models across cloud and hybrid environments.
  
• Mentor and develop AI engineering and data science teams, fostering technical excellence and innovation.
  

2.4 Life Sciences / Pharmaceutical Domain

• Apply Life Sciences domain knowledge across commercial operations, market access, clinical insights, and omnichannel analytics to develop industry-specific AI solutions and accelerate time-to-value for clients.
  

3. Qualifications & Experience

3.1 Experience & Education

• 15+ years of overall experience in IT / Software Engineering.
  
• 6+ years in dedicated AI/ML leadership or architecture roles.
  
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative discipline.
  

3.2 Leadership & Strategy

• Proven experience in client management, executive presentations, and C-level stakeholder engagement.
  
• Experience in defining AI offerings, supporting pre-sales activities, and driving GTM expansion.
  
• Demonstrated ability to build, mentor, and manage delivery teams across multiple projects.
  

3.3 Technical Expertise

Generative AI & Modern AI Stack

• Expertise in Generative AI platforms, Agentic AI architectures, RAG frameworks, LLMs, fine-tuning, and Vector Databases.
  

Core AI/ML & Data Engineering

• Strong foundation in Machine Learning, Deep Learning, NLP, and statistical modeling.
  
• Proficiency in Python and ML frameworks, including PyTorch, TensorFlow, and scikit-learn.
  

Data & Cloud Platforms

• Experience with enterprise data platforms and technologies, including Databricks, Apache Spark, Kafka, and cloud-native services across AWS, Azure, and GCP.
  

AI Delivery & Governance

• Experience in MLOps, CI/CD for AI, model monitoring, and automated deployment pipelines.
  

3.4 Preferred Domain Experience

• Life Sciences / Pharmaceutical domain experience, particularly in commercial AI use cases, field productivity tools, patient/HCP journey orchestration, and market access operations.