AI Architect - AWS (Generative AI)

Experience: 10-14 Years

Location: Chennai / Kochi / Kolkata / Coimbatore

We are looking for an experienced AI Architect to design and deliver enterprise-scale Generative AI and Machine Learning solutions on AWS. The ideal candidate will have strong expertise in Amazon Bedrock, AWS AI/ML services, LLMs, RAG architectures, Agentic AI, cloud-native design, and enterprise solution architecture, along with the ability to lead technical teams and engage with business stakeholders.

Key Responsibilities

- Architect and deliver scalable, secure, and cost-productive AI/GenAI solutions on AWS.
- Design enterprise copilots, virtual assistants, AI agents, and RAG-based applications.
- Define end-to-end architectures covering data ingestion, vector search, model serving, orchestration, monitoring, and governance.
- Evaluate and implement Foundation Models using Amazon Bedrock and AWS SageMaker.
- Establish AI architecture standards, reusable frameworks, and best practices.
- Lead architecture reviews, technical design discussions, and solution governance.
- Drive AI modernization initiatives and provide technical leadership across teams.
- Define AI security, compliance, Responsible AI, and operational frameworks.




- Collaborate with business and technology stakeholders to identify and implement AI use cases.

Mandatory Skills

- Generative AI, LLMs, Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- AI Agents / Agentic AI
- Amazon Bedrock
- AWS SageMaker
- AWS Lambda, S3, API Gateway, IAM, CloudWatch
- ECS/EKS, Step Functions
- Enterprise & Solution Architecture
- Cloud-Native and Microservices Architecture
- Python, SQL, REST APIs
- LangChain, LlamaIndex, Hugging Face
- Docker, Kubernetes, CI/CD, MLOps
- Stakeholder Management and Technical Leadership

Preferred Skills

- OpenSearch and Vector Databases (Pinecone, FAISS, Weaviate)
- AWS Glue, EMR, Databricks
- Terraform / Infrastructure as Code
- Knowledge Graphs and Graph Databases
- Responsible AI and AI Governance
- FinOps for AI Workloads

Preferred Certifications

- AWS Certified Solutions Architect – Professional
- AWS Certified Machine Learning Engineer
- AWS Certified AI Practitioner
- TOGAF (Preferred)

Ideal Candidate Should Have Experience In

- Enterprise GenAI platform architecture
- Production-grade RAG implementations
- Multi-model AI ecosystems using Amazon Bedrock
- AI copilots and intelligent assistants
- AI governance, security, and compliance
- Large-scale cloud transformation and modernization programs

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