Senior AI Lead / Director - AI Programs

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:

• 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.
• 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.
• 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.
• 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.

Preferred Qualifications:

• 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.
• 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.
• Expertise in Generative AI platforms, Agentic AI architectures, RAG frameworks, LLMs, fine-tuning, and Vector Databases.
• Strong foundation in Machine Learning, Deep Learning, NLP, and statistical modeling.
• Proficiency in Python and ML frameworks, including PyTorch, TensorFlow, and scikit-learn.
• Experience with enterprise data platforms and technologies, including Databricks, Apache Spark, Kafka, and cloud-native services across AWS, Azure, and GCP.
• Experience in MLOps, CI/CD for AI, model monitoring, and automated deployment pipelines.
• Life Sciences / Pharmaceutical domain experience, particularly in commercial AI use cases, field productivity tools, patient/HCP journey orchestration, and market access operations.

Skills

AI, Artificial Intelligence, Generative AI, Python