AI Technical Architect

Exavalu; Kansas; Remote; USD 170,000 - 260,000; Full time

Job summary

Exavalu is a US-based consulting firm offering Digital Transformation Advisory and Digital Solution Delivery. This remote role seeks a hands-on AI Technical Architect with 12+ years of experience in Generative and Multi-Agent AI to design and implement enterprise AI solutions from POC through production.

You will lead architecture decisions, mentor teams, and drive governance, security, and observability across cloud-native AI platforms.

Qualifications

• 12+ years of technology experience.
• Hands-on Generative AI and Multi-Agent AI experience.
• Advanced Python programming.
• Experience with LangChain and LangGraph.
• Experience with CrewAI or similar agent frameworks.
• Strong knowledge of LLMs, embeddings, vector databases, prompt engineering, and tool/function calling.
• Experience with APIs, microservices, and enterprise integrations.
• Experience with Azure, AWS, or GCP.
• Understanding of AI security, Responsible AI, governance, and guardrails.

Responsibilities

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

Skills

Generative AI

Multi-Agent AI

Python

LangChain

LangGraph

CrewAI

LLMs

Vector databases

RAG

APIs & microservices

Cloud platforms

AI governance

MCP

MLOps

Tools

Docker

Kubernetes

LangSmith

Langfuse

MLflow

OpenTelemetry

Semantic Kernel

AutoGen

Job description

Exavalu Solutions India Pvt Ltd | Full time

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Job Description

This is a remote position.

AI Technical Architect – Multi-Agentic AI

Experience: 12+ Years | Type: Full-Time

Job Summary

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.

Key Responsibilities

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.

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.

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.

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.