Architecture Senior Advisor – AI Principal

Das ist der Job

Serve as athought leaderacross AI, ML, Data Engineering, and Business Transformation domains.

Darum lohnt es sich

Define data modernization roadmap — encompassing data fabric, metadata management, and data quality frameworks. Work closely with Product, Clinical, PBM, and Engineering teams to embed AI capabilities within business workflows.

Proficiency withPython, SQL, cloud-native AI platforms, and modern data stack (Databricks, Snowflake, Airflow, MLflow, etc.). 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. 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.

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.

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.

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 #J-18808-Ljbffr