We are looking for a highly experienced GenAI Architect to lead the design, development, and deployment of next-generation AI solutions.

The ideal candidate will bring deep expertise in Python, FastAPI, Generative AI frameworks, and AWS cloud services, with a strong ability to architect scalable and production-grade AI systems.

Key Responsibilities:

- Design and architect end-to-end Generative AI solutions for enterprise applications.

- Build robust APIs and microservices using Python and FastAPI.

- Develop and fine-tune LLM models and GenAI pipelines for various use cases.

- Define scalable cloud architectures leveraging AWS services (SageMaker, Lambda, ECS/EKS, S3, etc.

- Collaborate with cross-functional teams to integrate AI models into production environments.

- Drive performance optimization, cost efficiency, and security best practices.

- Evaluate emerging AI tools, frameworks, and techniques to improve product capabilities.

- Mentor engineering teams and guide best practices for AI/ML development.

Requirements :

- 10 - pyth12 years of overall experience with at least 3+ years in GenAI/LLM-based systems.

- Strong proficiency in Python and API development using FastAPI.

- Hands-on experience with modern GenAI frameworks (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.

- Deep understanding of model fine-tuning, prompt engineering, embeddings, and vector DBs.

- Proven experience architecting and deploying solutions on AWS.

- Strong understanding of microservices, distributed systems, and MLOps concepts.

- Experience working in fast-paced product or enterprise tech environments.

- Excellent communication and stakeholder management skills.

Good to Have:

- Exposure to Kubernetes, Docker, CI/CD, Terraform.

- Experience with multi-agent systems or RAG architectures.

- Prior experience leading AI/ML engineering teams