[Hiring] AI Solutions Architect @DMS Vision

Role Description

AI Solutions Architect with strong experience in Generative AI, Agentic AI, and Large Language Models (LLMs). The ideal candidate should have a background in Data Science or AI Engineering with 3–4 years of hands-on experience designing and implementing AI agent frameworks, RAG solutions, and enterprise AI applications using cloud-native technologies.

Key Responsibilities:

• Design and develop Agentic AI and LLM-based enterprise solutions.
• Build AI orchestration workflows using tools like LangChain, LangGraph, CrewAI, or similar frameworks.
• Develop scalable AI services using AWS Lambda and cloud-native architectures.
• Implement RAG pipelines, vector database integrations, and prompt engineering solutions.
• Collaborate with business and engineering teams to define AI use cases and architecture standards.
• Ensure AI security, governance, monitoring, and compliance standards.

Qualifications

• 8+ years overall IT experience with Data Science, AI Engineering, or Solution Architecture background.
• 3–4 years of hands-on experience in Generative AI / Agentic AI.

Requirements

• Strong experience with:
• Python
• LLMs
• RAG architecture
• REST APIs
• Vector databases
• Prompt engineering
• Experience with:
• LangChain / LangGraph / CrewAI
• AWS Lambda
• Amazon Bedrock
• OpenAI or open-source LLMs
• Preferred:
• Healthcare or enterprise AI experience.
• Nice to Have:
• Knowledge of MLOps and AI governance.
• Experience with autonomous AI agents and workflow automation.
• Exposure to HIPAA-compliant AI solutions.

Company Description