Director of Artificial Intelligence

Summary role description:

Hiring for the Director Artificial Intelligence for a leading healthcare technology provider delivering AI-driven solutions to modernize care for millions nationwide.

Company description:

Our client is a healthcare technology and clinical services provider backed by a global investment group. Headquartered in the U.S. with offices in India, the company serves multiple state and federal health agencies, impacting over 140 million beneficiaries nationwide. Its core offerings include advanced processing, clinical and provider solutions, and quality and compliance services, powered by proprietary digital platforms. Leveraging AI, ML, and cloud technologies, the organization drives modernization in healthcare delivery and has been recognized by leading business journals and corporate growth associations as one of the fastest-growing private companies.

Role details:

• Title / Designation:

  Director Artificial Intelligence

• Location:

  Hyderabad/Chennai

• Experience:

  10 - 15 Years

Role & responsibilities:

• Identify and prioritize high-value AI opportunities across machine learning, generative AI, and intelligent agents.
• Lead and mentor cross-functional teams of AI/ML, data, BI, and full-stack engineers, fostering excellence and collaboration.
• Drive AI solution development including LLMs, multimodal systems, predictive models, and agent-based frameworks.
• Implement scalable MLOps pipelines for model training, deployment, and monitoring using AWS SageMaker, Docker, and Kubernetes.
• Architect and optimize AI infrastructure leveraging AWS (Bedrock, AgentCore) and integrating with Azure ML or GCP as needed.
• Integrate AI seamlessly into products and workflows, collaborating with full stack and UI teams for user-centric adoption.
• Establish best practices for coding, experimentation, and responsible AI, ensuring fairness, transparency, and performance.
• Foster innovation and applied research in emerging technologies such as GenAI, reinforcement learning, and autonomous agents.
• Align AI initiatives with product roadmaps and track post-deployment success to ensure measurable business impact.

Candidate requirements:

Education & Experience

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
• 1015 years of progressive experience in AI/ML, with at least 35 years in strategic or leadership positions.
• Demonstrated track record of designing and deploying AI solutions at scale in production-grade environments.

Technical Expertise

• Proficient in Python with expertise in libraries such as NumPy, Pandas, SciPy, and scikit-learn.
• Skilled in TensorFlow, PyTorch, Keras, and Hugging Face for model development and deployment.
• Hands-on experience with OpenAI Agents SDK, Model Context Protocol (MCP), RAG pipelines, and multimodal models.
• Proficient in AgentCore, AWS SageMaker, and Azure ML for end-to-end model lifecycle management.
• Strong command of Apache Airflow, Spark, Kafka, AWS Glue, and Azure Data Factory for scalable data pipelines.
• Experienced with GitHub Actions, Jenkins, Docker, and Kubernetes for automation and deployment.
• Deep understanding of AWS (preferred), with working knowledge of Azure and GCP.
• Skilled in quantization, pruning, and distributed training to improve model efficiency and performance.

Leadership & Soft Skills

• Excellent communicator capable of articulating AI strategy and value to both technical and executive audiences.
• Proven leadership in building high-performing teams anchored in collaboration, innovation, and accountability.
• Committed to responsible and ethical AI adoption, fostering trust and scalability across solutions.