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 & Contemporary 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.

📌 Senior AI Lead / Director (Chennai)
🏢 SRM Technologies
📍 Chennai