AI Technical Architect

EXAVALU INC.
United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Job source

Tech stack

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
+20 more
Systems Integration Enterprise Software Applications LangChain Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Langfuse β€” LLM Observability and Analytics Platform Agentic-AI AI Platforms LangSmith Kubernetes CrewAI AutoGen Machine Learning Operations Invoking Functions Semantic Kernel Docker Microservices

Job 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.

Requirements

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.

About the company

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.

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