Job Summary
Job Title: Generative AI Architect
Location: Hyderabad, Noida, Bangalore, Chennai, Pune
Level: E5
Experience: Overall, 17 + year in IT. 6 Yrs+ in AI/ML and Generative AI on Google AI platform – Gemini Enterprise Agent platform/Vertex AI.
Job Summary: We are looking for an experienced Generative AI Architect with sound knowledge and experience in designing, architecting and implementing agentic ai solutions on Google AI platform – Gemini Enterprise Agent platform/Vertex AI. The candidate should be proficient in LangGraph, Langchain, Python, ADK and should have a deep understanding of AI and ML technologies.
Key Responsibilities
- Design and architect generative AI solutions on Google AI platform – Gemini Enterprise Agent platform/Vertex AI to meet business requirements.
· Designing highly available, cost-effective, and fault-tolerant systems using GCP services like Compute Engine, GKE, BigQuery, and Cloud Run
Implementing robust Identity and Access Management (IAM), network segmentation, encryption, and governance frameworks
- Using Infrastructure as Code (IaC) tools like Terraform to automate infrastructure provisioning and deployment pipelines
- Lead the development and deployment of AI models on on Google AI platform – Gemini Enterprise Agent platform/Vertex AI.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Conduct research and stay updated with the latest advancements in AI and ML technologies.
- Provide technical leadership and mentorship to the AI development team.
- Optimize AI models for performance, scalability, and accuracy.
- Ensure the implementation of best practices in AI and ML development.
- Work closely with stakeholders to understand business needs and translate them into technical solutions.
Skill Requirements
Preferred Skills:
- Experience with AI model deployment and monitoring.
- Knowledge of data engineering and data preprocessing techniques.
- Familiarity with AI ethics and responsible AI practices.
Must Have Skills:
- Extensive experience in Gemini Enterprise Agent platform/Vertex AI to design a production grade solution for agentic ai.
- Having rich experience in Google Cloud Platform
- Lead the team to select appropriate framework for development.
Other Requirements
Qualifications:
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Strong proficiency in building ai agents using LangGraph or ADK in Gemini Enterprise Agent platform/Vertex AI.
- Deep understanding of AI and ML technologies, including deep learning, NLP, and computer vision.
- Hands-on experience in designing and architecting Gen AI and Agentic AI solutions or tools (preferably for infrastructure use-cases) for large enterprise customers.
- Should have an innovation mind-set and can build new solutions from the scratch.
- Hands-on experience with LLMs, RAG, agentic automation, and agent frameworks like Langchain, Lang graph, Gemini Enterprise.
- Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith
- Experience with deep learning, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.
- Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.
- Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI/agentic ai related projects
- Proven track record of leading and delivering complex AI/ML projects.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills.