Generative AI Architect

Experience: 6+ Years

Location: Hyderabad, Telangana (Preferred) | PAN India

Job Type: Full-Time, Permanent

Work Mode: Hybrid – 3 Days Work from Office

Working Hours: 12:00 PM – 9:30 PM IST

Salary: Up to ₹21 LPA

Job Overview

We are seeking an experienced Generative AI Architect to design, develop, and implement enterprise-grade AI solutions on AWS. The ideal candidate will have strong expertise in Amazon Bedrock, AI agent development, Retrieval-Augmented Generation (RAG), and cloud-native architecture.

The role requires hands-on experience building intelligent AI agents, integrating large language models with enterprise systems, and developing secure, scalable, and cost-effective AI applications.

Key Responsibilities

- Design and implement enterprise AI solutions using Amazon Bedrock, Foundation Models, Bedrock Agents, Guardrails, and Knowledge Bases.
- Develop AI agents with capabilities for orchestration, planning, memory management, and tool integration.
- Build RAG-based applications using vector databases and enterprise knowledge sources.
- Integrate AI solutions with APIs, databases, and existing business applications.
- Architect scalable and secure cloud solutions using AWS services.
- Implement AI security, governance, access controls, and responsible AI practices.
- Optimize AI application performance, scalability, reliability, and operating costs.
- Define technical architecture, evaluate implementation approaches, and guide engineering teams.
- Collaborate with business stakeholders and technical teams to translate requirements into effective AI solutions.

Required Skills and Qualifications





- Minimum 6 years of relevant experience in cloud engineering, AI architecture, or solution development.
- Hands-on experience designing and implementing AI agent solutions using AWS.
- Strong working knowledge of Amazon Bedrock, including Foundation Models, Agents, Guardrails, and Knowledge Bases.
- Understanding of AWS AgentCore and its capabilities for building and managing AI agents.
- Practical experience developing RAG applications and working with vector databases.
- Strong knowledge of LLMs, prompt engineering, agent workflows, and AI application architecture.
- Experience integrating AI applications with enterprise APIs, databases, and business systems.
- Familiarity with AWS services such as Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS/EKS, IAM, and Step Functions.
- Understanding of cloud security, identity management, AI governance, and cost optimization.
- Robust analytical, problem-solving, communication, and stakeholder-management skills.
- Relevant AWS certification in solutions architecture, AI, or machine learning, in accordance with the employer's certification requirements.

Preferred Technical Experience

- AI agent frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
- Vector databases such as Amazon OpenSearch,



Pinecone, or Weaviate.
- AI model evaluation, observability, monitoring, and performance optimization.
- LLM fine-tuning, MLOps, CI/CD pipelines, and AI application deployment.
- Integration of structured and unstructured data sources.
- Responsible AI implementation, governance, and compliance.
- Exposure to Azure OpenAI, Google Vertex AI, conversational AI, or virtual assistants.
- Experience leading architecture reviews, technical workshops, and mentoring development teams.

Relevant Certifications Candidates with one or more of the following certifications are preferred, subject to the employer's mandatory certification criteria:

- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified AI Practitioner
- AWS Certified Machine Learning – Specialty
- AWS Certified Developer – Associate

Who Should Apply? This opportunity is suitable for experienced cloud and AI professionals who have designed or implemented production-ready AI applications and can translate complex business requirements into scalable AI solutions.

Candidates should highlight their hands-on experience with Amazon Bedrock, AI agents, RAG architectures, and AWS cloud services in their applications.

Application Instructions

Apply with an updated resume highlighting your relevant AWS AI architecture experience, key projects, certifications, and hands-on expertise in Amazon Bedrock and AI agent development.

Pay: ₹2,100,000.00 per year

Experience

- 10 key typing: 6 years (Required)

Work Location: Hybrid remote in Hyderabad, Telangana

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