REQUIREMENTS:

- Minimum 10+ years of IT industry experience.

- 3 years of experience in GenAI, Agentic AI solutioning, and implementation.

- Minimum 2 years of experience with DataRobot for architecting and building GenAI solutions.

- Hands-on experience with RAG Agents and deployment.

- Solid experience in AI/ML Solution Architecture and Implementation.

- Experience with Cloud AI solutions design, development, and deployment.

- Experience with On-Premises AI solutions design, development, and deployment.

- Strong backend development and API experience.

- Experience with RAG APIs and Vector Databases.

- Strong understanding of AI/LLM application integration.

- Experience with AI/ML deployment, CI/CD, security, and production environments.

- Should have experience as Generative AI Technology Architect , AI Application Solution Design,Machine Learning Solution Design and RAG Workflow.

- Strong understanding of access control, secure endpoints, deployment integrity, and compliance.

- Mentor-first mindset with strong leadership and delivery focus.

- Excellent communication, collaboration, and stakeholder-management skills.

- Strong team-player mindset with the ability to lead and mentor technical teams.

RESPONSIBILITIES:

- Writing and reviewing great quality code.





- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.

- Mapping decisions with requirements and be able to translate the same to developers.

- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.

- Defining guidelines and benchmarks for NFR considerations during project implementation.

- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.

- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.

- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it

- Understanding and relating technology integration scenarios and applying these learnings in projects.

- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.

- Carrying out POCs to make sure that suggested design/technologies meet the requirements.

📌 AI Architect (Bengaluru)
🏢 Nagarro
📍 Bengaluru