Solutions Architect

Role Overview: Solutions Architect – GenAI 

Location: Malaysia 

The Solutions Architect leads the end-to-end design, presentation, demonstration and rollout of Generative AI agents on AWS Cloud, focusing on high-scale, production-ready solutions. This role combines deep technical expertise in AI frameworks, cloud architecture, and application development to deliver scalable GenAI solutions. The architect will work with cross-functional teams to design and implement robust AI systems while mentoring development teams and presenting complex technical concepts to stakeholders. 

 

Key Responsibilities

Agent Development & Deployment 

• 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 
  

High-Scale Architecture & Development 

• 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 
  

Technical Leadership & Implementation 

• 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 
  

Communication & Mentoring 

• Present complex technical concepts and AI solutions to executive stakeholders and technical teams 
  
• Lead technical workshops and training sessions on GenAI best practices and implementation strategies 
  
• Mentor development teams on AI integration, cloud architecture, and modern development practices 
  
• Collaborate with cross-functional teams to align technical solutions with business objectives 
  

Requirements

Qualifications 

• 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  
  

Technical Expertise 

• 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  
  

Preferred Skills 

• 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 Optimization: Experience with system performance tuning and cost optimization 
  

 Technical Competencies 

• Programming & Development 
  
• Python: Advanced proficiency with AI/ML libraries (transformers, langchain, fastapi, pandas) 
  
• Node.js: Expert-level knowledge with Express.js, TypeScript, and modern JavaScript frameworks 
  
• API Development: RESTful services, GraphQL, webhook implementations, and API gateway patterns 
  
• Database Management: Query optimization, indexing strategies, and database performance tuning 
  

 Cloud & Infrastructure 

• AWS Cloud: Comprehensive understanding of AWS services and best practices 
  
• Terraform: Infrastructure as Code implementation and management 
  
• Containerization: Docker and Kubernetes for scalable deployments 
  
• Monitoring: CloudWatch, Prometheus, and custom monitoring solutions 
  

 AI & Machine Learning 

• GenAI Frameworks: Production implementation of various AI agent frameworks 
  
• Performance Optimization:  Techniques to optimize the performance of prompt and LLMs 
  
• Vector Operations: Embedding generation, similarity search, and vector database optimization 
  
• Prompt Engineering: Advanced techniques for optimizing AI responses and behavior 
  

Soft Skills & Leadership 

• Presentation Skills: Ability to create compelling technical presentations for various audiences 
  

• Team Mentoring: Experience guiding junior developers and technical teams 
  

• Problem Solving: Strong analytical thinking and troubleshooting capabilities 
  

• Communication: Clear technical writing and documentation skills 
  

• Project Management: Ability to manage complex technical projects and deliverables 
  
  

Benefits

What We Offer  

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team 
  
• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action 
  
• A fast-paced software development environment that uses the latest open-source tools across the development stack 
  

 

Benefits  

We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation. 

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.