We are looking for a highly skilled GenAI Architect with strong 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
- 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.
- 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,
