Description
AI Agents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market
Role Overview:
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 Qualifications:
- 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/MLand serverless computing.
- Proficiency in JavaScript , TypeScript , Node.js , React.js ,and Express.js for building full-stack applications .
- Experience withAI/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,C I/CD pipelines,and infrastructure-as-code(Terraform,AWS CDK).
- Excellent problem-solving skillsand abilityto translate business requirementsinto technicalsolutions .
Preferred Qualifications:
- ExperiencewithAI chatbot frameworks(Dialogflow,Rasa,BotPress or custom LLM integrations).
- ExposuretoAI ethics,data privacy,and compliance regulations .
- Prior experiencein multi-agent systemsor autonomous A I workflows .
Hands-on experiencewith vector databases(Pinecone,weaviate FAISS )and A I embeddings .