Azure AI Solution Architect

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