AI Agents Solution Architect – Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market
AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications.
Key Responsibilities:
- Architect and design AI-powered agent solutions that integrate with enterprise systems and cloud platforms.
- Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions.
- Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions.
- Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces.
- Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications.
- Ensure security, scalability, and reliability of AI agent solutions in production environments.
- Design event-driven and serverless architectures to enhance AI agent performance.
- Lead proof-of-concept (PoC) developments for AI-based automation and intelligent process optimization.
- Define best practices for AI deployment, including CI/CD pipelines, monitoring, and governance.
Required:
- 5+ years of experience in solution architecture with a focus on AI, APIs, and cloud technologies.
- Strong hands-on experience with AWS services related to AI/ML and serverless computing.
- Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain.
- Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns.
- Strong understanding of API design, including REST, GraphQL, and WebSockets.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (Terraform, AWS CDK).
- Excellent problem-solving skills and ability to translate business requirements into technical solutions.
Preferred:
- Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations).
- Exposure to AI ethics, data privacy, and compliance regulations.
- Prior experience in multi-agent systems or autonomous AI workflows.
- Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and AI embeddings.
Hybrid working
Start Date Apr-Jul 25
9 months initial or permanent
