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Architecture Senior Advisor – AI Principal

Highbrow LLC

Remote

EUR 129.000 - 173.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

A leading technology consulting firm is seeking an Architecture Senior Advisor – AI Principal role. This position involves defining and executing an enterprise-wide Data & AI Strategy, mentoring teams, and leading AI governance initiatives. The ideal candidate will have over 10 years of experience, including 5 years in leadership, with strong expertise in machine learning, NLP, and cloud-native AI platforms. The role supports remote work, allowing flexible engagement with teams across the globe.

Qualifikationen

  • 10+ years of experience in Data Science, AI, or Enterprise Data Strategy.
  • 5+ years in leadership/principal roles.
  • Strong hands-on expertise in machine learning and GenAI.

Aufgaben

  • Define and execute enterprise-wide Data & AI Strategy.
  • Establish a roadmap for Generative AI adoption.
  • Mentor data scientists in advanced modeling and GenAI pipelines.

Kenntnisse

Machine Learning
Data Science
AI Governance
Python
SQL
Cloud-native AI Platforms

Tools

PyTorch
TensorFlow
Databricks
Snowflake
Airflow
Jobbeschreibung
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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