
Senior AI Solutions Designer
3 days ago
We are seeking a seasoned professional to join our team as an AI Solutions Designer. The ideal candidate will have expertise in designing and deploying high-scale, production-ready AI solutions on AWS Cloud infrastructure.
Responsibilities- Create end-to-end deployment strategies for Generative AI agents, focusing on scalability and performance.
- Architect AI solutions that can handle enterprise-level workloads; implement and optimize AI frameworks for specific use cases.
- Develop sophisticated prompt engineering techniques and fine-tuning strategies for optimal AI performance.
- Design scalable, fault-tolerant architectures for AI applications handling millions of requests.
- Become proficient in building full-stack applications using modern development practices and cloud-native technologies.
- 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.
- Prioritize Infrastructure as Code using Terraform for consistent deployments; create automated CI/CD pipelines for seamless AI model deployment and updates.
- At least 8 years of experience in cloud architecture and application development with focus on scalable systems.
- 1+ year of hands-on experience with Generative AI, LLMs, and AI agent frameworks.
- Expert-level proficiency in 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.
- Performance Optimisation: Experience with system performance tuning and cost optimisation.
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