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# AI Technical Architect

- **Company:** EXAVALU INC.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Databases, Interoperability, Python (Programming Language), Search Technologies, Systems Integration, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, AI Platforms, LangSmith, Kubernetes, CrewAI, AutoGen, Machine Learning Operations, Invoking Functions, Semantic Kernel, Docker, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_199b103c33076a2236f70d40a25908a5

## About the Role

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 Skills

MCP and agent interoperability.

LangSmith, Langfuse, MLflow, or OpenTelemetry.

Docker/Kubernetes and LLMOps/MLOps.

Semantic Kernel, AutoGen, or similar frameworks.

Experience building enterprise AI platforms or AI Centers of Excellence.

Core Skills: Multi-Agentic AI | Generative AI | LangChain | LangGraph | CrewAI | Python | RAG | LLMs | MCP | Vector Databases | Cloud

Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.

## Description

We are seeking a hands-on AI Technical Architect with strong experience in Generative AI and Multi-Agentic AI to design and implement enterprise AI solutions from POC through production. The role requires expertise in agent orchestration, RAG, LLMs, enterprise integrations, cloud, and AI governance., 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, technical decisions, and mentor AI engineering teams.