Senior AI Lead / Director – AI Programs

& Solutions

Organization: SRM Tech

Location: Preferably Chennai, India

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.

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.

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.

Senior AI Lead / Director