Intuitive.ai

About the Company

Intuitive.ai is one of the fastest-growing business and technology consulting companies, leading with innovation + automation + engineering, enabling enterprises to move at the speed of business where innovation fuels execution, automation drives scale, and engineering delivers excellence. Intuitive is an "Engineering Company" delivering measurable value and business outcomes. Intuitive Superpowers: Our intellectual property, accelerators, proprietary aiE™ delivery framework, elastic engineering services, and industry vertical expertise Our technical depth spans; Data & AI | App & DB Modernization | Cloud & Platform Engineering | Network, Security, & SDx We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN and being named one of America's fastest-growing private companies by INC 5000. Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider. Intuitive Accreditations: - AWS Premier Partner & ProServe Partner (Migration, Network, Security, DevOps, WAR, Public Sector competencies) - Azure ECIF & Cloud Solutions Provider - Google PSF & Cloud Services Partner - Palo Alto Networks Platinum Partner - VMware Principal Partner / Master Services Competency (VMC on AWS, DCV, NV, CMA, Cloud Native*) - Kubernetes Certified Service Provider - VMware Consulting Partner - Global - Hashicorp Partner - Dell Technologies Consulting Partner - Global - Cisco Advanced Partner (Security, Mobility, Enterprise Networks) - Arista Partner - Fortinet Partner For more details, please visit www.intuitive.ai

Listed Jobs

Company Name

Intuitive.ai

Job Title

Imaging Algorithms Product Owner

Job Description

**Job Title** Imaging Algorithms Product Owner **Role Summary** Lead product ownership for a self‑service platform that hosts, packages, and distributes imaging algorithms in radiology and digital pathology. Bridge clinical users, engineers, and business stakeholders to deliver portable, cloud‑ready algorithm solutions that meet performance, scalability, and regulatory standards. **Expectations** - Deliver a customer‑focused roadmap for algorithm hosting and packaging. - Ensure algorithms are clinically relevant, technically robust, and compliant with medical device regulations. - Align product features with user needs and business goals while measuring continuous improvement. **Key Responsibilities** 1. Define and prioritize product requirements for algorithm hosting, packaging, and distribution. 2. Engage radiologists, pathologists, and data scientists to capture clinical workflow needs and deployment scenarios. 3. Create a product roadmap focused on self‑service deployment of imaging algorithms (e.g., lesion detection, tissue segmentation). 4. Oversee design and implementation of packaging solutions compatible with AWS, GCP, Azure, Docker, and Kubernetes. 5. Collaborate with engineering to build APIs, SDKs, and documentation for developer and clinical use. 6. Ensure performance optimization, scalability, and regulatory compliance (FDA 510(k), CE marking). 7. Gather and translate end‑user feedback into actionable product enhancements. 8. Coordinate with sales and marketing to position the platform as a market differentiator. 9. Monitor usage metrics and iterate the product based on data and feedback. 10. Present product updates to internal stakeholders and partners in quarterly reviews. **Required Skills** - Product ownership or management experience (5+ years) with 3+ years in healthcare/medical imaging. - In‑depth knowledge of imaging algorithm frameworks (TensorFlow, PyTorch, Keras, ONNX, MONAI). - Experience packaging and deploying ML models in cloud and containerized environments. - Understanding of FDA 510(k), CE marking, and general medical device regulatory processes. - Strong stakeholder management, communication, and cross‑functional collaboration. - Strategic thinking to align technology with business outcomes and user value. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Biomedical Engineering, or related field (Master’s or MBA preferred). - Product Management certification (e.g., Certified Scrum Product Owner, Pragmatic Institute) is preferred.

San francisco, United states

Hybrid

Mid level

03-11-2025

Company Name

Intuitive.ai

Job Title

Imaging Data Engineer/Architect

Job Description

Job title: Imaging Data Engineer / Architect Role Summary: Design, build, and maintain end‑to‑end imaging data pipelines and architectures that ingest, store, and deliver radiology and digital pathology data for clinical and AI/ML use while ensuring compliance, integrity, and interoperability. Expactations: Deliver scalable, secure imaging data solutions; collaborate cross‑functionally with clinical and data science teams; meet regulatory standards (HIPAA, GDPR); continuously evaluate emerging imaging standards and technologies. Key Responsibilities: • Architect and implement cloud‑based data platforms for DICOM, HL7, FHIR, and related metadata. • Develop and optimize ETL pipelines for large imaging datasets (MRI, CT, histopathology) and metadata. • Ensure data quality, security, and regulatory compliance; enforce access controls and audit trails. • Integrate imaging data with AI/ML models and support data science workflows. • Create and maintain metadata schemas for discoverability and interoperability across PACS, LIS, and enterprise data warehouses. • Tune performance of storage and retrieval systems on AWS, Google Cloud, or Azure. • Produce detailed documentation and knowledge transfer materials. • Stay abreast of new imaging standards, tools, and regulatory changes, proposing enhancements. Required Skills: • Proficiency in Python, Java, SQL for data pipeline development. • Expertise in ETL, data warehousing, and database management (Snowflake, BigQuery, PostgreSQL). • Experience with container orchestration (Docker, Kubernetes). • Strong grasp of DICOM, HL7, FHIR, SNOMED, LOINC, and PACS/LIS workflows. • Hands‑on cloud experience (AWS, GCP, Azure) – storage, compute, and data services. • Familiarity with AI/ML integration for imaging analytics. • Solid analytical, problem‑solving, and communication skills. Required Education & Certifications: • Bachelor’s degree in Computer Science, Biomedical Engineering, or related field (Master’s preferred). • 5+ years data engineering/architecture experience, 3+ years in medical imaging. • Certifications: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent; CIIP or similar imaging informatics credential is a plus.

San francisco, United states

Hybrid

Mid level

03-11-2025