Senior AI/ML Engineer, Python, Agentic AI

Develop and implement AI and machine learning strategies across several healthcare domains Manage and lead the AI and engineering team, responsible for creating innovative solutions and delivering end-to-end machine learning projects with a high degree of value, ambiguity, scale, and complexity Design, develop, implement and/or optimize AI/ML, Generative AI, and Agentic solutions using cloud services (preferably Azure) Provide architectural guidance and define evaluation frameworks to ensure AI systems meet enterprise security, compliance and operational standards in complex healthcare data ecosystems Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle Establish patterns, standards and reusable components for RAG, multi-agent systems, LLMOps and high performance inference Serve as a role model by leveraging these techniques to optimize solutioning and product delivery Demonstrate solid understanding of the full lifecycle product development, focusing on continuous improvement and learning Implement and oversee DevOps practices and CI/CD pipelines using GitHub Actions Ensure data security and compliance with industry standards Provide technical leadership and mentorship to the engineering team Ensure robustness, scalability and model performance aligned with business KPIs Work cross functionally with product, engineering, consulting, cloud, SMEs and clinical teams Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Builder

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline 8+ years of experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 2 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn Experience with cloud platforms such as AWS, Azure and GCP Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes Demonstrated experience leading and managing AI/ML teams and projects from ideation to .