Job description

Job Description: Define design and implement scalable secure AI solutions leveraging Generative AI eg LLMs diffusion models Agentic AI systems eg multi agent frameworks and mature MLOps LLMOps practices Architect and implement end to end AI workflows including data ingestion pipelines designing model orchestration layers implementing prompt engineering strategies deploying solutions and ensuring seamless integration with enterprise systems Develop and code robust frameworks for evaluating AI models defining metrics creating test cases and implementing processes for accuracy fairness safety and reliability particularly for Generative and Agentic AI Lead the continuous integration and delivery CI CD of AI models by developing automation scripts configuring monitoring establishing versioning ensuring governance and building scalable deployment pipelines Guide data scientists and ML engineers offering hands on assistance to ensure adherence to architectural principles and AI best practices Convert complex healthcare business challenges into actionable AI strategies rapidly prototyping solutions to demonstrate feasibility and value Stay ahead of AI trends by evaluating new technologies tools and frameworks conducting hands on experiments and pilot projects to continuously enhance AI capabilities Establish AI governance policies ensuring compliance with HIPAA GDPR ethical AI standards model explainability and internal security requirements Partner closely with product managers business analysts and data engineers to define requirements document and deliver impactful AI solutions and serve as the primary technical expert Maintain clear comprehensive architectural documentation that includes implementation details This list is not all inclusive and you are expected to perform other duties as requested or assigned QUALIFICATIONS 7 years of experience in software architecture with at least 2 years specializing in AI ML or demonstrable equivalent experience through significant impactful AI ML projects Experience in medical insurance and or healthcare preferred Expert proficiency in Python and hands on experience with cloud AI ML services Azure preferred including developing and deploying models Demonstrated ability to build and deploy Generative AI solutions LLMs diffusion models with a strong portfolio or examples of hands on work Familiarity with and ability to develop agentic AI frameworks such as LangChain AutoGen or similar including custom agent development Expert knowledge of MLOps LLMOps pipeline including implementation with tools like MLflow Kubeflow Azure ML or similar CI CD platforms Proven ability working with prompt engineering techniques large model attunement and vector databases eg Pinecone Weaviate Milvus Solid understanding of data privacy regulations HIPAA GDPR CCPA Knowledge of and demonstrated ability in designing developing and integrating APIs for AI services Influence and leadership skills including the ability to influence cross functional teams and stakeholders and effectively lead technical discussions and implementations Excellent verbal written and interpersonal communication skills Licenses Microsoft Certified Azure Solutions Architect preferred AI ML Certification preferred

Requirements