AI Technical Architect

• Design Multi-Agentic AI architectures using agents, supervisors, planners, routers, and orchestration frameworks
• Build AI solutions using Python, LangChain, LangGraph, CrewAI, and LLM APIs
• Design RAG solutions, including embeddings, vector search, retrieval, and prompt optimization
• Integrate AI agents with enterprise applications, APIs, databases, and tools
• Design scalable cloud-native AI solutions using microservices, Docker, and Kubernetes
• Establish AI security, governance, observability, evaluation, and LLMOps/MLOps practices
• Lead POCs, architecture reviews, and technical decisions
• Mentor AI engineering teams
• Implement enterprise AI solutions from POC through production

• 12+ years of overall technology experience
• Strong hands-on experience with Generative AI and Multi-Agentic AI
• Advanced Python programming
• Strong hands-on experience with LangChain and LangGraph
• Experience with CrewAI or similar agent frameworks
• Strong knowledge of LLMs, RAG, embeddings, vector databases, prompt engineering, and tool/function calling
• Experience with APIs, microservices, and enterprise integrations
• Experience with Azure, AWS, or GCP
• Strong understanding of AI security, Responsible AI, governance, and guardrails
• Preferred: MCP and agent interoperability
• Preferred: Hugging Face / open-source LLMs
• Preferred: LangSmith, Langfuse, MLflow, or OpenTelemetry
• Preferred: Docker/Kubernetes and LLMOps/MLOps
• Preferred: Semantic Kernel, AutoGen, or similar frameworks
• Preferred: Knowledge graphs/graph databases
• Preferred: Experience building enterprise AI platforms or AI Centers of Excellence

• Flexibility adapting to the needs of employees, customers, and the business
• Part-time work options
• Working outside normal 9-5 business hours
• Remote work
• Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons
• Diverse and inclusive workforce
• Career growth opportunities