- Design end‑to‑end AI / GenAI solution architectures covering data ingestion, feature engineering, model development, deployment, and monitoring.
- Lead solutioning for healthcare use cases such as:
- Prior Authorization & Utilization Management
- Claims processing & Payment Integrity
- Care Management & Population Health
- Clinical document processing and summarization
- Provider & member analytics
- Architect agentic AI and RAG‑based solutions using LLMs for unstructured healthcare data (clinical notes, policies, contracts, medical records).
- Translate business problems into AI‑driven architectures, ensuring alignment with ROI, scalability, and regulatory requirements.
- Define reference architectures, NFRs, and technology standards for AI platforms.
- Collaborate with data science teams on:
- Model selection and evaluation
- Prompt engineering and orchestration strategies
- Human‑in‑the‑loop (HITL) workflows
- Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks.
- Provide technical leadership during pre‑sales, client workshops, proposals, and solution walkthroughs.
- Mentor engineers and junior architects; review designs and ensure architectural best practices.
- Stay current with emerging trends in GenAI, agentic workflows, healthcare AI regulations, and cloud AI services.
Core Technical Skills
- Strong foundation in AI/ML, Deep Learning, and GenAI architectures
- Hands‑on experience with LLMs, RAG pipelines, vector databases, and AI agents
- Experience with unstructured data processing (NLP, OCR, Intelligent Document Processing)
- Solid understanding of data engineering & analytics stacks
(Data lakes, data warehouses, ETL/ELT pipelines) - Proficiency with cloud platforms (AWS / Azure / GCP) and AI services
- Experience with microservices, APIs, containerization (Docker/Kubernetes)
Healthcare Domain Expertise(Preferred)
- Knowledge of payer and provider workflows
- Exposure to regulatory and compliance requirements in healthcare
- Proven experience delivering AI solutions in healthcare operations or clinical workflows
Skills Required
- Strong foundation in AI/ML, Deep Learning, and GenAI architectures
- Hands-on experience with LLMs, RAG pipelines, vector databases, and AI agents
- Experience with unstructured data processing (NLP, OCR, Intelligent Document Processing)
- Knowledge of data engineering and analytics stacks (data lakes, data warehouses, ETL/ELT)
- Proficiency with cloud platforms (AWS, Azure, GCP) and cloud AI services
- Experience with microservices, APIs, containerization (Docker, Kubernetes)
- Experience defining reference architectures, NFRs, and technology standards for AI platforms
- Experience with prompt engineering, orchestration strategies, and human-in-the-loop workflows
- Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks
- Client-facing solutioning experience including pre-sales, client workshops, proposals, and walkthroughs
- Mentoring engineers and junior architects; review designs and ensure architectural best practices
- Knowledge of payer and provider workflows (healthcare domain expertise)
- Exposure to regulatory and compliance requirements in healthcare
- Proven experience delivering AI solutions in healthcare operations or clinical workflows
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
