Description

Responsibilities:

• Serve as a trusted AI advisor for healthcare clients, providing thought leadership across AI, Generative AI, Agentic AI, and intelligent automation.
• Lead the design, architecture, and implementation of AI-driven solutions aligned with healthcare business objectives and operational challenges.
• Translate complex AI concepts into clear business outcomes and value propositions for executives, stakeholders, and clinical teams.
• Conduct AI opportunity assessments, identify high-value use cases, and develop strategic roadmaps for AI adoption.
• Facilitate executive workshops and stakeholder discussions to demonstrate AI capabilities and innovation opportunities.
• Evaluate AI platforms, vendors, frameworks, and emerging technologies, providing recommendations based on scalability, security, compliance, and ROI.
• Collaborate with architects, data scientists, engineering teams, and business leaders to deliver AI solutions from concept through production.
• Drive discussions around AI governance, responsible AI, data privacy, risk management, and healthcare compliance requirements.
• Monitor market trends, industry innovations, and best practices to influence AI strategy and technology direction.
• Contribute to client proposals, presentations, solution accelerators, and AI transformation initiatives.

Requirements:

• 12+ years of overall IT industry experience.
• Strong consulting and stakeholder management experience.
• Proven experience leading enterprise AI and digital transformation initiatives.
• Experience working within healthcare, payer, provider, or life sciences environments.
• AI / Machine Learning & Large Language Models (Must Have)
• Hands-on experience with OpenAI APIs, LangChain, CrewAI, AutoGen, or similar frameworks.
• Strong understanding of Generative AI, Agentic AI, prompt engineering, embeddings, RAG architectures, and semantic search.
• Experience integrating LLMs into enterprise applications.
• Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or pgvector.
• Familiarity with AI governance, responsible AI practices, and model evaluation techniques.
• Python Backend Development
• Strong expertise in Python development.
• Experience with FastAPI, Django, and/or Flask.
• Experience building RESTful APIs and scalable backend services.
• Strong knowledge of asynchronous programming patterns.
• Hands-on experience with SQLAlchemy and database integration.
• AWS Cloud & Microservices Architecture

Strong hands-on experience with AWS services including:

• EC2
• S3
• Lambda
• EKS
• Glue

Experience with Docker and Kubernetes.

• Experience designing and deploying microservices-based applications.
• Strong understanding of distributed systems and cloud-native architectures.
• Experience with CI/CD pipelines and DevOps practices.

Preferred Qualifications:

• Experience implementing AI solutions in healthcare environments.
• Knowledge of healthcare standards, compliance, and regulatory frameworks.
• Experience with data governance, HIPAA, and healthcare data security requirements.
• Strong presentation, facilitation, and executive communication skills.
• Ability to influence both technical and business stakeholders.

Required Skills Summary:

• Generative AI
• Agentic AI
• OpenAI APIs
• LangChain
• Prompt Engineering
• RAG Architecture
• Vector Databases
• Python
• FastAPI/Django/Flask
• SQLAlchemy
• AWS Cloud
• Docker
• Kubernetes
• Microservices
• CI/CD
• Healthcare Domain
• AI Strategy & Consulting
• Years of Experience: 12 Years of Experience

Key Skills

Education

Any Graduate