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Technical Architect

Convo GPT

San Francisco (CA)

On-site

USD 130,000 - 180,000

Full time

7 days ago
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Job summary

A leading company in the AI sector is seeking a Technical Architect specializing in Generative AI. The role involves designing scalable AI solutions, utilizing various cloud services, and ensuring compliance with AI governance. Ideal candidates will have a strong background in Python and Generative AI technologies. This position offers the opportunity to innovate and collaborate with cross-functional teams to drive AI advancements.

Qualifications

  • Deep knowledge of Generative AI using Azure Open AI.
  • Proven experience in Python development.
  • Experience with Agentic AI frameworks like llamaindex, phidata, and langgraph.

Responsibilities

  • Design and develop scalable Generative AI solutions using Azure Open AI.
  • Integrate AI solutions with Azure Cloud for scalability and performance.
  • Work with stakeholders to translate business needs into technical solutions.

Skills

Python
AI/ML
Generative AI
Collaboration
Communication

Education

Bachelor's or Master’s degree in Computer Science
Bachelor's or Master’s degree in Data Science
Bachelor's or Master’s degree in AI

Tools

Azure Open AI
AWS Gen AI Services
Google Gen AI Services
Azure AI services
Agentic AI frameworks

Job description

Job Description

Role: Technical Architect - Generative AI

Location Options: Bay Area - CA preferred

Responsibilities:

  1. 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.
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