Principal AI Architect - Generative AI & AWS

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

Positive to Have Skills:
- Amazon Web Services (AWS)
- AWS Bedrock
- Amazon SageMaker
- RAG
- AI/ML Platforms

Experience Required:
- 15+ 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 15+ 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.

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