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, Lang. Chain, Lang. Graph, 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 Py. Torch, Tensor. Flow, 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.