Architecture Sr. Advisor - AI Principal

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Data Science
AI
GenAI
MLOps
Python
SQL
machine learning

Job Details

Role : Architecture Senior Advisor - AI Principal

Location : Remote (EST/CST time zone only)

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.
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