Gen AI Architect

Remote

Notice Period: 30 Days

Job Summary

We are seeking an experienced GenAI Solution/Application Technical Architect with 12–18 years of experience in Solution Architecture, Enterprise Applications, or Technical Leadership. The ideal candidate will have strong expertise in Generative AI, AWS Cloud, enterprise application architecture, and technical leadership.

Key Responsibilities

- Design and own end-to-end architecture for GenAI applications using Python, FastAPI, React.js, AWS, and GenAI services.
- Define and implement RAG, vector search, prompt engineering, embeddings, and LLM integration strategies.
- Develop Proofs of Concept (POCs) and reference architectures for AI use cases.
- Provide technical leadership and guidance to development, QA, DevOps, and cloud teams.
- Establish coding standards, architecture governance, design principles, and quality frameworks.
- Collaborate with DevOps teams on CI/CD, containerization, monitoring, deployment, and cloud optimization.
- Ensure solutions meet security, compliance, scalability, availability, performance, and cost-efficiency requirements.
- Work closely with business stakeholders, product owners,



and delivery teams to align technical solutions with business objectives.
- Evaluate emerging GenAI technologies and recommend appropriate tools, frameworks, and architectural patterns.

Required Skills & Experience

- 12–18 years of experience in Solution Architecture, Enterprise Applications, or Technical Leadership roles.
- Strong hands-on experience with Python, FastAPI, React.js, and AWS Cloud.
- Solid expertise in LLMs, Generative AI, RAG, Prompt Engineering, Embeddings, Vector Databases, and GenAI integrations.
- Experience with GenAI frameworks such as LangChain, LlamaIndex, or similar orchestration platforms.
- Strong knowledge of AWS services including:
- Amazon ECS
- AWS Lambda
- Amazon API Gateway
- Amazon S3
- Amazon RDS / DynamoDB
- Amazon CloudFront
- Experience with Docker, CI/CD pipelines, DevOps practices, and monitoring frameworks.
- Strong understanding of scalable, secure, and high-performance cloud architectures.
- Ability to optimize AI workloads for performance, scalability, reliability, and cost efficiency.
- Excellent stakeholder management, communication, leadership, and problem-solving skills.

📌 Gen AI Architect (India)
🏢 Metasys Technologies
📍 India