Architecture Senior Advisor – AI Principal

Job Title:Architecture Senior Advisor – AI Principal

Location: Remote

Responsibilities

• Define and executeenterprise-wide Data & AI Strategy, aligned with business and leadership.
• Partner with executive leadership to identify and prioritizeAI use casesthat deliver measurable value
• Establish a roadmap forGenerative AI adoption, LLM deployment, and Responsible AI governance.
• Serve as athought leaderacross AI, ML, Data Engineering, and Business Transformation domains.
• Design and prototypeAI/ML and GenAI solutionsusing frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, and Vertex AI / Azure AI.
• Driveend-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 integrateenterprise and open-source AI platformsto accelerate innovation.
• Define data modernization roadmap — encompassing data fabric, metadata management, and data quality frameworks.
• Partner with enterprise architecture to ensuredata accessibility, interoperability, and AI-readiness.
• Lead initiatives arounddata democratizationandAI-native platform enablement(including RAG, vector databases, and feature stores).
• Champion the convergence ofData, AI, and Analytics platformsfor 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.

Qualifications

• 10+ years of experience inData Science, AI, or Enterprise Data Strategy, with at least 5+ years inleadership/principal roles.
• Strong hands-on expertise inmachine learning, GenAI, NLP/LLM development, and MLOps.
• Proven ability to build and scaleAI Centers of Excellence (CoE)and align technical execution with enterprise strategy.
• Proficiency withPython, 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.

Desired

• Experience withresponsible AI, governance frameworks, and regulatory compliance (HIPAA, PHI).
• Experience implementingagentic AIorautonomous analytics frameworks.
• Track record ofAI 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

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