Technical Architect

Description:

Role: Technical Architect - Generative AI

Location Options: Bay Area - CA preferred

Job Description:

-Generative AI Solutions:

-Design and develop scalable Generative AI solutions using Azure Open AI.

-In-depth knowledge in Generative AI using AWS Gen AI Services (AWS Bedrock, Claude LLM, OpenAI)

-In-depth knowledge in Generative AI using Google & Google Gen AI Services (Vertex AI, Gemini, OpenAI)

-Implement and optimize AI models for various applications, including document intelligence, bots, and cognitive vector search/store.

-Ensure AI solutions are compliant with AI governance and responsible AI practices.

-Technical Expertise:

-Utilize hands-on experience in Python-based development to build and deploy AI models.

-Leverage Azure AI services to enhance AI capabilities and performance.

-Apply knowledge of AI/ML, LLMOps, and secure AI deployment to ensure robust and reliable AI solutions.

-Cloud Integration:

-Integrate AI solutions with Azure Cloud, ensuring scalability, security, and performance.

-Utilize Azure Cloud services to support AI model training, deployment, and monitoring.

-Implement best practices for AI compliance and governance within the Azure ecosystem.

-Agentic AI Frameworks:

-Apply knowledge of Agentic AI frameworks such as llamaindex, phidata, and langgraph to develop advanced AI solutions.

-Experiment with new AI frameworks and techniques to improve model performance and capabilities.

-Drive innovation by prototyping and developing new AI solutions using cutting-edge frameworks.

-Collaboration & Communication:

-Work closely with stakeholders to understand business requirements and translate them into technical solutions.

-Communicate complex AI concepts to non-technical stakeholders.

-Collaborate with cross-functional teams to deliver AI solutions.

-Innovation & Research:

-Stay updated with the latest advancements in Generative AI and related technologies.

-Experiment with new AI techniques and frameworks to improve performance.

-Drive innovation by prototyping and developing new AI solutions.

-Qualifications:

-Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

-In-depth knowledge of Generative AI using Azure Open AI.

-Hands-on experience in Python-based development.

-Strong knowledge of Azure AI services (Document Intelligence, Azure Bot, Cognitive vector search/store).

-Good knowledge of Azure Cloud and its services.

-Understanding of AI/ML, LLMOps, Responsible AI, AI Compliance and Governance, and Secure AI deployment.

-Familiarity with Agentic AI frameworks such as llamaindex, phidata, and langgraph.

-Excellent problem-solving and analytical skills.

-Strong communication and collaboration skills.