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AI Technical Architect

Remote

Exavalu

Remote · United StatesFull TimePosted TodaySenior
AIPrompt EngineeringLLM OpsDeveloper, Data Science
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Role

Job description

This is a remote position.

AI Technical Architect – Multi-Agentic AI

Experience:12+ Years |Type:Full-Time

Job Summary

We are seeking ahands-on AI Technical Architectwith strong experience inGenerative AI and Multi-Agentic AIto 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.

Key Responsibilities

  • DesignMulti-Agentic AI architecturesusing agents, supervisors, planners, routers, and orchestration frameworks.

  • Build AI solutions usingPython, LangChain, LangGraph, CrewAI, and LLM APIs.

  • DesignRAG 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 usingmicroservices, Docker, and Kubernetes.

  • Establish AIsecurity, governance, observability, evaluation, and LLMOps/MLOpspractices.

  • Lead POCs, architecture reviews, technical decisions, and mentor AI engineering teams.


Requirements

Required Skills

  • 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.

  • Hugging Face / Open-source LLMs.

  • LangSmith, Langfuse, MLflow, or OpenTelemetry.

  • Docker/Kubernetes and LLMOps/MLOps.

  • Semantic Kernel, AutoGen, or similar frameworks.

  • Knowledge graphs/graph databases.

  • 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


Benefits

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.
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

Originally posted on Himalayas

Source: Himalayas

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