AI Architect with AWS

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-efficient 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