[Remote] Delivery Leader – AI/ML

Remote, USA • Full-time • Posted 2026-05-04

Note: The job is a remote job and is open to candidates in USA. Intuitive.ai is an innovation-led engineering company delivering business outcomes for enterprises globally. They are seeking a Delivery Leader – AI/ML with a strong background in life sciences, pharmaceuticals, or healthcare to lead AI/ML projects, ensuring successful delivery and compliance with business and regulatory requirements.

Lead end-to-end delivery of AI/ML projects within the medical/pharma domain, ensuring timelines, quality, and compliance
Define delivery roadmaps, sprint plans, and milestones aligned with business and regulatory requirements
Oversee cross-functional teams including data engineers, ML scientists, and domain SMEs
Monitor project performance, proactively manage risks, and ensure adherence to GxP and data governance standards
Design scalable AI/ML architectures leveraging cloud platforms (AWS, Azure, or GCP)
Guide the development of machine learning pipelines for clinical data, RWE (Real-World Evidence), drug discovery, or patient analytics
Evaluate and implement frameworks for NLP, computer vision, or predictive analytics in healthcare
Ensure data integrity, security, and interoperability with medical data standards (HL7, FHIR, CDISC, OMOP, etc.)
Act as a bridge between data science, IT, and clinical/business stakeholders
Translate business needs into technical solutions and ensure clear communication across teams
Collaborate with medical affairs, R&D, and regulatory teams to align AI solutions with scientific and ethical standards
Drive adoption of AI/ML best practices, MLOps frameworks, and reusable assets
Stay abreast of emerging trends in AI for life sciences and proactively recommend improvements
Ensure compliance with data privacy and ethical AI principles (HIPAA, GDPR, etc.)

Education: Bachelor's or master's in computer science, Biomedical Engineering, Data Science, or related field. PhD preferred
Experience: 10+ years of total experience, with at least 4–5 years in AI/ML delivery leadership
Proven track record in delivering AI/ML projects in pharma, healthcare, or medical research domains
Strong understanding of medical data sources (EHR, clinical trials, RWD, genomics, etc.)
Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (Kubeflow, MLflow, Airflow)
Expertise in cloud services (AWS SageMaker, Azure ML, GCP Vertex AI)
Familiarity with compliance standards and clinical data handling
Excellent communication, stakeholder management, and leadership skills
Experience with LLMs, GenAI, or multimodal AI in healthcare
Knowledge of Ontologies, Knowledge Graphs, or semantic modeling in biomedical contexts
Exposure to regulatory AI applications (e.g., drug safety, pharmacovigilance)

Intuitive.ai | Engineering Breakthroughs Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence. It was founded in 2012, and is headquartered in Edison, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://www.intuitive.ai/.

Apply Now