Job Description
Role: Technical Architect - Generative AI
Location Options: Bay Area - CA preferred
Responsibilities:
- Generative AI Solutions:
- Design and develop scalable Generative AI solutions using Azure Open AI.
- Utilize AWS Gen AI Services (AWS Bedrock, Claude LLM, OpenAI) for AI development.
- Leverage Google & Google Gen AI Services (Vertex AI, Gemini, OpenAI) for AI solutions.
- Implement and optimize AI models for applications like document intelligence, bots, and cognitive vector search/store.
- Ensure AI solutions comply with AI governance and responsible AI practices.
Technical Expertise:- Hands-on experience in Python for building and deploying AI models.
- Use Azure AI services to enhance AI capabilities and performance.
- Apply AI/ML, LLMOps, and secure AI deployment knowledge for robust solutions.
Cloud Integration:- Integrate AI solutions with Azure Cloud for scalability, security, and performance.
- Support AI model training, deployment, and monitoring using Azure Cloud services.
- Implement AI compliance and governance best practices within Azure.
Agentic AI Frameworks:- Develop advanced AI solutions using frameworks like llamaindex, phidata, and langgraph.
- Experiment with new AI frameworks and techniques to improve model performance.
- Prototyping and developing innovative AI solutions.
Collaboration & Communication:- Work with stakeholders to translate business needs into technical solutions.
- Communicate complex AI concepts to non-technical audiences.
- Collaborate with cross-functional teams.
Innovation & Research:- Stay updated with the latest in Generative AI and related tech.
- Prototype and develop new AI solutions to drive innovation.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Data Science, AI, or related fields.
- Deep knowledge of Generative AI using Azure Open AI.
- Proven experience in Python development.
- Strong familiarity with Azure AI services (Document Intelligence, Azure Bot, Cognitive vector search/store).
- Good understanding of Azure Cloud and related services.
- Knowledge of AI/ML, LLMOps, Responsible AI, AI Governance, and Secure AI deployment.
- Experience with Agentic AI frameworks like llamaindex, phidata, and langgraph.
- Excellent problem-solving, analytical, communication, and collaboration skills.