AI Solution Engineer

Responsibilities

• Design end-to-end architecture for enterprise web, cloud, and AI applications
• Build AI solutions using LLMs, RAG, AI Agents, Prompt Engineering, and Generative AI
• Design microservices, REST APIs, system integrations, and event-driven architectures
• Develop cloud-native solutions on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD
• Collaborate with stakeholders to understand business requirements and recommend scalable technical solutions
• Participate in solution design, architecture reviews, technical estimations, and Proof of Concepts (PoCs)
• Mentor developers and ensure architecture best practices, security, scalability, and performance

Required Skills

• 4+ years of experience in Solution Architecture, Technical Architecture, or Senior Software Engineering
• Hands-on experience with Generative AI, LLMs, RAG, AI Agents, LangChain, LangGraph, or MCP
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or AWS Bedrock
• Strong knowledge of Python (preferred), FastAPI, or Java/.NET/Node.js
• Experience with Vector Databases (Pinecone, ChromaDB, pgvector, FAISS, or MongoDB Atlas Vector Search)
• Strong understanding of Microservices, REST APIs, System Design, Docker, Kubernetes, and CI/CD
• Experience with AWS, Azure, or GCP
• Good communication, problem-solving, and stakeholder management skills

Preferred Skills

• Multi-Agent AI and MCP (Model Context Protocol)
• Prompt Engineering and LLM Evaluation
• MLOps and AI Governance
• Pre-sales or client-facing solution consulting experience
• Cloud certifications (AWS, Azure, or GCP)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.