Technical Architect - Generative AI

Tata Consultancy Services; San Francisco (CA); On-site; USD 145,000 - 232,000; Full time

Job summary

A leading company is seeking a Technical Architect specializing in Generative AI to design and develop advanced AI solutions. The ideal candidate will have expertise in Azure Open AI, Python development, and strong collaboration skills. This role involves working with cross-functional teams to deliver innovative AI solutions and ensuring compliance with AI governance. Join a dynamic team to drive innovation in AI technologies.

Qualifications

• In-depth knowledge of Generative AI and Azure Open AI.
• Hands-on experience in Python-based development.
• Strong knowledge of Azure AI services.

Responsibilities

• Design and develop scalable Generative AI solutions.
• Integrate AI solutions with Azure Cloud.
• Collaborate with stakeholders to translate requirements.

Skills

Python

Problem-Solving

Collaboration

Communication

Education

Bachelor's or Master’s degree in Computer Science

Degree in Data Science

Degree in Artificial Intelligence

Tools

Azure Open AI

AWS Gen AI Services

Google Gen AI Services

Agentic AI frameworks

Job description

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Role: Technical Architect - Generative AI

Location Options: Bay Area - CA preferred

Job Description

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.

Salary Range: $145,470 - $231,400

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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