Full-Time Architecture Senior Advisor - AI Principal

• Define and execute enterprise-wide Data & AI Strategy, aligned with business and leadership.
• Partner with executive leadership to identify and prioritize AI use cases that deliver measurable value.
• Establish a roadmap for Generative AI adoption, LLM deployment, and Responsible AI governance.
• Serve as a thought leader across AI, ML, Data Engineering, and Business Transformation domains.
• Design and prototype AI/ML and GenAI solutions using frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, and Vertex AI / Azure AI.
• Drive end-to-end architecture — from data ingestion and feature engineering to model deployment and monitoring.
• Mentor data scientists, MLOps engineers, and solution architects in advanced modeling, GenAI pipelines, and prompt optimization.
• Evaluate and integrate enterprise and open-source AI platforms to accelerate innovation.
• Define data modernization roadmap — encompassing data fabric, metadata management, and data quality frameworks.
• Partner with enterprise architecture to ensure data accessibility, interoperability, and AI-readiness.
• Lead initiatives around data democratization and AI-native platform enablement (including RAG, vector databases, and feature stores).
• Champion the convergence of Data, AI, and Analytics platforms for unified intelligence delivery.
• Work closely with Product, Clinical, PBM, and Engineering teams to embed AI capabilities within business workflows.
• Partner with external vendors and hyperscalers (AWS, Azure, Google Cloud) to co-develop scalable AI solutions.
• Communicate complex AI strategies clearly to senior leadership, stakeholders, and non-technical partners.

• 10+ years of experience in Data Science, AI, or Enterprise Data Strategy, with at least 5+ years in leadership/principal roles.
• Strong hands-on expertise in machine learning, GenAI, NLP/LLM development, and MLOps.
• Proven ability to build and scale AI Centers of Excellence (CoE) and align technical execution with enterprise strategy.
• Proficiency with Python, SQL, cloud-native AI platforms, and modern data stack (Databricks, Snowflake, Airflow, MLflow, etc.).
• Demonstrated success influencing senior executives and leading cross-functional AI transformations.

• Experience with responsible AI, governance frameworks, and regulatory compliance (HIPAA, PHI).
• Experience implementing agentic AI or autonomous analytics frameworks.
• Track record of AI commercialization, IP creation, or research contributions.
• Good to have understanding of Insurance, PBM, Healthcare data domains. Good to have understanding and working experience in End-user/Contact Center technology verticals

• Master’s or Bachelor's in Computer Science, Data Science, or related field.

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