AI Architect

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.
• Strong 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.