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.