Principal AI Architect - Generative AI & AWS / Python

• Project Role:
• AI Infrastructure Architect
• Project Role Description:

Design and lead enterprise AI architecture across Generative AI, LLMs, Agentic AI, Machine Learning, AI platforms, and cloud infrastructure. Define scalable, secure, and cost-effective AI solutions aligned with business and technology requirements.

Must Have Skills:

• Generative AI
• AI Architecture
• LLM
• Agentic AI
• Enterprise AI Solutions

Good to Have Skills:

• Amazon Web Services (AWS)
• AWS Bedrock
• Amazon SageMaker
• RAG
• AI/ML Platforms

Experience Required:

• 5+ Years

Location:

• PAN India

Educational Qualification:

• 15 Years Full-Time Education

• Role Summary:
• We are looking for a Senior / Principal AI Architect who can lead the architecture of enterprise AI platforms and solutions.
• The role will focus on Generative AI, LLM applications, Agentic AI, AI/ML platforms, model deployment, inference, AI operations, and enterprise integration.
• The architect will work with senior business and technology leaders to define AI strategies, architecture roadmaps, technology choices, and implementation plans.
• Roles & Responsibilities:

• Own the end-to-end architecture of enterprise AI platforms and solutions.
• Define AI strategy, target architecture, and technology roadmap.
• Design solutions using Generative AI, LLMs, RAG, and Agentic AI.
• Lead architecture for AI platforms, model platforms, inference, and AI operations.
• Define AWS-based AI architecture using services such as AWS Bedrock and SageMaker.
• Evaluate AI technologies, platforms, and vendors.
• Design scalable and secure multi-agent AI systems.
• Define architecture for knowledge graphs, vector search, semantic retrieval, and context engineering.
• Establish AI security, governance, identity, authorization, and data protection controls.
• Define guardrails, monitoring, audit logging, and AI evaluation frameworks.
• Lead multiple architects and senior technical SMEs.
• Work closely with CIOs, CTOs, business leaders, and technology teams.
• Ensure AI solutions meet business objectives, scalability, security, and cost requirements.
• Guide implementation teams and ensure architecture is followed throughout delivery.

Professional & Technical Skills:

• Strong experience in Generative AI and LLM architecture.
• Strong understanding of Agentic AI and multi-agent systems.
• Experience designing enterprise AI platforms and solutions.
• Strong knowledge of RAG, vector databases, semantic search, and context engineering.
• Experience with cloud AI platforms, preferably AWS.
• Hands-on knowledge of AWS Bedrock and SageMaker is preferred.
• Understanding of AI security, governance, responsible AI, and AI risk controls.
• Experience with AI observability, evaluation, and monitoring.
• Strong understanding of enterprise architecture and cloud architecture.
• Experience working with senior executives and business stakeholders.
• Strong leadership, communication, and decision-making skills.

Industry Experience:

Experience in one or more of the following domains is preferred:

• Banking
• Insurance
• Healthcare
• Retail
• Telecom
• Capital Markets

Additional Information:

• Minimum 5+ years of overall industry experience.
• Strong experience in Generative AI / LLM / Agentic AI architecture is required.
• AWS experience will be an added advantage.
• Experience in enterprise AI transformation and architecture is preferred.
• Location: PAN India
• 15 years of full-time education is mandatory.Role & responsibilities

Preferred candidate profile