Job Title: Architecture Senior Advisor – AI Principal

Location: Remote

Job Description
– 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. Qualifications Required
– 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. Desired:
– 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

Education:
– Master’s or Bachelor’s in Computer Science, Data Science, or related field.