We are looking for a highly skilled GenAI Architect with solid expertise in software architecture, Python development, cloud-native applications, and GenAI/Agentic AI. The ideal candidate will have 12+ years of software development and architecture experience, hands-on proficiency in FASTAPI and AWS services, and a proven track record of building applications at scale. This role requires a proactive individual contributor who can also lead teams when needed, combining technical depth with leadership capabilities.

Key Responsibilities

· Architecture & Design

· Define and implement scalable, secure, and high-performance architectures for GenAI and Agentic AI solutions.

· Design APIs, microservices, and distributed systems leveraging Python and FASTAPI.

· Drive best practices in software architecture, design patterns, and scalability.

· Development & Implementation

· Develop AI-driven applications and services using Python and modern frameworks.

· Build and integrate LLMs and AI agents into enterprise workflows.

· Apply MLOps and DevOps practices for continuous integration, deployment, and monitoring of AI solutions.

· Cloud & Infrastructure

· Leverage AWS services (Lambda, ECS/EKS, S3, DynamoDB, SageMaker, etc.) to design and deploy cloud-native AI applications.

· Ensure solutions are optimized for scalability, availability, performance, and cost-efficiency.

· Implement security and compliance standards in cloud-based AI workloads.

· Leadership & Collaboration

· Work proactively as an individual contributor with ownership of design and delivery.





· Lead and mentor team members when required, providing architectural guidance and technical leadership.

· Collaborate with data scientists, engineers, and product managers to deliver impactful AI solutions.

· Problem Solving & Innovation

· Troubleshoot complex system and application issues with a solution-oriented approach.

· Stay ahead of industry trends in GenAI, Agentic AI, and large-scale distributed systems.

· Experiment with emerging frameworks (e.g., LangChain, LlamaIndex) to enhance AI capabilities.

Required Qualifications

· 12+ years of software development and architecture experience.

· Strong expertise in Python development.

· Proven experience with FASTAPI for building APIs and services.

· Hands-on experience with AWS cloud services for development and deployment.

· Experience in designing and developing applications for scale in distributed environments.

· Expertise in Generative AI and Agentic AI (LLMs, AI agents, orchestration frameworks).

· Excellent problem-solving and troubleshooting skills.

· Ability to work independently and lead teams when necessary.

Preferred Qualifications

- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with event-driven and microservices architectures.
- Good to have - Knowledge of MLOps frameworks (Kubeflow, MLflow, SageMaker, Vertex AI).
- Understanding of data privacy, governance, and compliance in AI systems.

data architecture,solution architecture,python,fastapi,generative ai,kubernetes,docker,

📌 Associate Data Architect II (Bengaluru)
🏢 UST
📍 Bengaluru