Data & AI/ML Architect

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November 13

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Aya Healthcare

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Healthcare Insurance • Recruitment

Aya Healthcare is a prominent provider of healthcare staffing services, connecting healthcare professionals such as nurses and allied health workers with healthcare facilities across the United States. They offer travel nursing, per diem, and permanent placement services, ensuring that hospitals and healthcare systems have the necessary staff to provide high-quality patient care. Aya Healthcare focuses on improving the staffing industry through innovative technology and exceptional customer service.

5001 - 10000 employees

Founded 2001

⚕️ Healthcare Insurance

🎯 Recruiter

📋 Description

• Design end-to-end data and AI architectures across cloud and hybrid environments (e.g., Azure, AWS, GCP). • Define data and model lifecycle management frameworks that support ingestion, transformation, storage, and consumption at scale. • Establish and enforce governance, security, and compliance standards for AI and data usage. • Partner with stakeholders in Agile planning sessions, sprint reviews, and backlog prioritization to translate business goals into technical architectures and roadmaps. • Develop robust, modular data pipelines using tools such as Databricks, Spark, Airflow, or Synapse. • Implement Agile-friendly CI/CD frameworks for data and ML workloads to support incremental delivery and continuous improvement. • Optimize systems for real-time analytics, batch processing, and ML training pipelines. • Lead the adoption of data lakehouse and semantic layer architectures to unify structured and unstructured data sources. • Architect scalable solutions for machine learning, generative AI, and predictive analytics, from experimentation to production deployment. • Integrate MLOps and Agile DevOps practices for model lifecycle management, leveraging tools like MLflow, Kubeflow, Vertex AI, or Azure ML. • Oversee model governance, explainability, and performance monitoring frameworks. • Collaborate with cross-functional teams in Agile sprints to experiment, validate, and iterate on AI prototypes. • Champion Agile and DevOps methodologies, promoting iterative development, continuous learning, and feedback-driven improvement. • Mentor engineers, data scientists, and analysts in modern AI and data architecture practices. • Collaborate closely with product owners, Scrum Masters, and stakeholders to align AI initiatives with business value creation. • Stay ahead of emerging trends in data platforms, AI frameworks, and responsible AI governance.

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Data Engineering, or related field. • 8+ years of experience in data architecture, ML engineering, and cloud architecture. • Deep experience with cloud data platforms (Azure Synapse, AWS Redshift, GCP BigQuery). • Proficiency in Python, SQL, and modern data frameworks (Spark, Databricks, Snowflake, etc.). • Strong understanding of Agile frameworks (Scrum, Kanban) and collaboration tools (Jira, Confluence, Azure DevOps). • Solid grounding in MLOps, data pipelines, API design, and data security. • Experience with GenAI/LLM-based applications (OpenAI, Anthropic, Azure OpenAI, etc.). • Familiarity with vector databases, knowledge graphs, or AI orchestration frameworks. • Certifications in cloud or data architecture (e.g., Azure Solutions Architect, AWS Data Analytics Specialty). • Excellent communication and leadership skills, able to articulate technical concepts in cross-functional Agile settings.

🏖️ Benefits

• Free premium medical, dental, life and vision insurance • Generous 401(k) match • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling • Celebrations! We hit our goals and reward ourselves. • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! • Unlimited DTO — we believe in time off! • Virtual yoga, meditation or boot camp classes offered daily