Solutions Architect (GenAI)
- Pune, Maharashtra
- Permanent
- Full-time
- Design and execute end-to-end deployment strategies for Generative AI agents on AWS Cloud infrastructure.
- Architect high-scale, production-ready AI solutions capable of handling enterprise-level workloads.
- Implement and optimize various AI frameworks (LangChain, CrewAI, AutoGen, Llamaindex) for specific use cases.
- Develop sophisticated prompt engineering techniques and fine-tuning strategies for optimal AI performance.
- Design and implement scalable, fault-tolerant architectures for AI applications handling millions of requests.
- Build full-stack applications using modern development practices and cloud-native technologies.
- Create robust microservices architectures with proper load balancing, auto-scaling, and disaster recovery.
- Implement event-driven architectures and serverless patterns for optimal performance and cost efficiency.
- Develop comprehensive REST APIs for AI agent interactions with proper authentication, rate limiting, and monitoring.
- Design and optimize database architectures for AI workloads, including vector databases and traditional RDBMS.
- Implement Infrastructure as Code using Terraform for consistent and repeatable deployments.
- Create automated CI/CD pipelines for seamless AI model deployment and updates.
- 8+ years of experience in cloud architecture and application development with focus on scalable systems.
- 1+ years of hands-on experience with Generative AI, LLMs, and AI agent frameworks.
- Expert-level proficiency in both Python and Node.js with demonstrated production experience.
- Strong understanding of REST API design, implementation, and best practices.
- Comprehensive knowledge of database concepts including SQL, NoSQL, and vector databases.
- Beginner to intermediate proficiency in Terraform for infrastructure automation.
- Excellent communication skills with proven ability to present to technical and non-technical audiences.
- Experience mentoring development teams and providing technical guidance.
- AI Frameworks: Hands-on experience with LangChain, CrewAI, AutoGen, Llamaindex, and similar frameworks.
- Prompt Engineering: Advanced understanding of prompt techniques, few-shot learning, and chain-of-thought reasoning.
- AWS Services: Deep knowledge of AWS services including SageMaker, Bedrock, Lambda, ECS, RDS, and CloudFormation.
- High-Scale Architecture: Experience designing systems that handle high throughput and concurrent users.
- Database Systems: Proficiency with PostgreSQL, MongoDB, Redis, and vector databases.
- Development Tools: Experience with Docker, Kubernetes, Git, and modern development frameworks.
- Domain Knowledge: Experience in Telco and Banking industries is highly valued.
- AWS Certifications: Solutions Architect Professional or Machine Learning Specialty certification.
- Advanced Terraform: Experience with complex infrastructure automation and multi-environment deployments.
- Security: Understanding of enterprise security patterns and compliance requirements.
- We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
- Flat hierarchy with fast decision making and a startup-oriented “get things done” culture.
- A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.