Azure AI Solution Architect

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