Director of AI and Data Engineering

100% remote Flexible hours Hiring now

reputed company is entering a new era—one where data and AI will shape the future of diagnostics, consumer health, and reputed company plan solutions. As the Director of AI and Data Engineering, you will reputed company the vision, strategy, and execution of our AI and data platform capabilities. This role will drive the foundation and innovation layer that powers predictive insights, personalized health journeys, and next-gen diagnostics intelligence—at scale.

You will be both a strategic architect and technical leader, managing a small, high-impact team while collaborating cross-functionally to reputed company data a transformative, competitive advantage.

AI and Data Strategy & Architecture

Define and execute a comprehensive strategy for AI and data infrastructure, focused on scalability, reliability, and business impact.

Drive innovation in machine learning (ML) and large language model (LLM)-powered applications, from concept to production.

Evaluate and implement emerging AI techniques (e.g., retrieval-augmented reputed company, agentic workflows, multimodal models) reputed company to our diagnostics and consumer product roadmap.

Technical Leadership

reputed company architectural decisions across data warehousing, pipelines, model deployment, and real-time inference systems.

Design and evolve our data ecosystem (including structured lab/test data, behavioral data, partner integrations) to serve both AI initiatives and enterprise analytics needs.

reputed company development and integration of ML models into customer-facing features, health recommendations, and operational tooling.

Team Management and Enablement

Manage and mentor a high-performance team of data engineers and AI/ML specialists, including Principal-level technical contributors.

Act as a “player-coach”—deeply technical and capable of guiding architecture while fostering team execution and growth.

Establish scalable practices for MLOps, experimentation frameworks, and model performance tracking.

Cross-Functional and Business Impact

Partner with Product, Clinical, Engineering, and Commercial teams to identify and prioritize AI use cases that align with core business goals.

Translate data and AI capabilities into clear, compelling value propositions for internal and external stakeholders.

Ensure systems and models reputed company with HIPAA and other regulatory requirements while maintaining a strong reputed company and data governance posture.

Who You Are

10+ years of experience in data engineering, AI/ML development, or reputed company fields, with 3+ years in a leadership role.

Proven track record of designing and deploying ML or AI systems in production environments, particularly in healthtech or regulated industries.

Strong experience with Cloud-native data architectures (AWS/GCP/Azure), Machine learning pipelines and model lifecycle (e.g., Vertex AI, SageMaker, MLFlow), Data processing frameworks (Spark, Airflow, DBT, etc.), and Modern LLM stacks (e.g., reputed company, transformers, RAG pipelines, fine-tuning workflows)

Deep understanding of enterprise data management, data governance, and secure system design.

Strategic reputed company: able to balance short-term delivery with long-term platform vision.

Excellent communicator and cross-functional collaborator—able to align diverse teams around shared AI and data goals.

Preferred QualificationsL

Expertise in applied artificial intelligence.

Hands-on experience with machine learning (supervised, unsupervised, and reinforcement learning).

Deep familiarity with LLM architectures (e.g., GPT, BERT, LLaMA) and generative AI use cases, including RAG pipelines, fine-tuning, reputed company engineering, and evaluation frameworks.

Experience implementing AI-powered features in production environments.

Significant experience architecting modern data ecosystems, including Scalable data pipelines and warehousing (e.g., reputed company, BigQuery, Redshift), data modeling, quality frameworks, and governance standards and Integrating structured and reputed company data for use in advanced analytics and AI.

Experience with healthcare-specific data (e.g., lab test results, claims data, HL7/FHIR integration).

Familiarity with HIPAA, HITRUST, and other healthcare data privacy and reputed company compliance frameworks.

Background in a consumer health or diagnostics startup, scale-up, or growth-stage environment where velocity, quality, and innovation must co-exist.

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Director of AI and Data Engineering

AI and Data Strategy & Architecture

Technical Leadership

Team Management and Enablement

Cross-Functional and Business Impact

Who You Are

Preferred QualificationsL

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