Agentic AI Architect REMOTE

XMS Solutions, Inc.; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Job summary

XMS Solutions, Inc. is seeking an Agentic AI Architect to design and deliver practical, next-generation AI solutions. You will craft intelligent agents, multi-agent workflows, and enterprise AI apps using generative AI, LLMs, and modern cloud technologies.

You will collaborate with engineers, cybersecurity professionals, and business stakeholders to turn emerging AI capabilities into secure, scalable solutions with architecture ownership and real impact on mission-critical operations.

Qualifications

• Professional experience in solution architecture or AI engineering.
• Hands-on experience with generative AI via LLMs.
• Experience with Python, APIs, and enterprise integrations.
• Experience deploying chatbots in Teams or similar.
• Knowledge of RAG, vector databases, AI agents, orchestration.
• Cloud deployment in Azure/AWS/GCP with security focus.
• Ability to collaborate across engineering and business teams.

Responsibilities

• Design and develop agentic AI solutions including intelligent agents and multi-agent workflows.
• Translate requirements into practical architectures, plans, and patterns.
• Evaluate LLMs, RAG, vector databases, and orchestration frameworks.
• Integrate AI capabilities with enterprise apps, data sources, and APIs.
• Build and deploy AI-powered chatbots in enterprise environments.
• Collaborate with cloud, data, and cybersecurity teams for secure solutions.
• Ensure proper access controls, testing, logging, and responsible AI practices.
• Document designs and communicate decisions to project stakeholders.

Skills

Solution architecture

AI engineering

Python & APIs

Enterprise integrations

Cloud deployment (Azure/AWS/GCP)

Collaboration across teams

Generative AI with LLMs

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Model Context Protocol (MCP)

Job description

About XMS Solutions

XMS Solutions is an IT and cybersecurity company supporting federal agencies and commercial organizations. We specialize in identity and access management, cloud technologies, cybersecurity, and IT modernization. Our team is committed to delivering innovative solutions, solving complex challenges, and supporting mission-critical operations.

Benefits

XMS Solutions offers an excellent benefits package, including 100% employer-paid medical, dental, and vision insurance premiums for employees and their dependents. Additional benefits include paid time off, paid holidays, a 401(k) with company match, and company-paid life and disability insurance.

About XMS Solutions

XMS Solutions is an IT and cybersecurity company supporting federal agencies and commercial organizations. We specialize in identity and access management, cloud technologies, cybersecurity, and IT modernization. Our team is committed to delivering innovative solutions, solving complex challenges, and supporting mission-critical operations.

Benefits

XMS Solutions offers an excellent benefits package, including 100% employer-paid medical, dental, and vision insurance premiums for employees and their dependents. Additional benefits include paid time off, paid holidays, a 401(k) with company match, and company-paid life and disability insurance.

Position Overview

XMS Solutions is seeking an Agentic AI Architect to design and help deliver practical, next-generation AI solutions. In this hands-on role, you will help build intelligent assistants, agent-based workflows, and enterprise AI applications using generative AI, large language models (LLMs), and modern cloud technologies. You will collaborate with engineers, cybersecurity professionals, and business stakeholders to turn emerging AI capabilities into secure, scalable solutions that work in real-world environments. This position offers meaningful architecture ownership and an opportunity to contribute to the organization’s evolving AI approach.

Key Responsibilities

• Design and develop agentic AI solutions, including intelligent agents, multi-agent workflows, AI assistants, and human-in-the-loop processes.
• Translate business and technical requirements into practical architectures, implementation plans, and reusable patterns.
• Evaluate and apply LLMs, RAG, vector databases, and orchestration frameworks based on solution needs and technical tradeoffs.
• Integrate AI capabilities with enterprise applications, APIs, data sources, and existing business workflows.
• Build, integrate, and deploy AI-powered chatbots and virtual assistants in Microsoft Teams and other enterprise applications.
• Partner with engineering teams to take AI prototypes through testing, deployment, monitoring, and production support.
• Collaborate with cloud, data, cybersecurity, and application teams to deliver secure and maintainable implementations.
• Incorporate appropriate access controls, testing, logging, evaluation, and responsible AI practices into solutions.
• Document designs, share recommendations, and communicate technical decisions clearly with project stakeholders.

Skills & Experience

Required Qualifications

• Professional experience in solution architecture, software engineering, AI engineering, or a closely related technical discipline.
• Hands-on experience building or integrating generative AI solutions using LLMs, including an understanding of their capabilities and limitations.
• Experience with Python, APIs, and integrations involving enterprise applications or data sources.
• Experience integrating and deploying chatbots in Microsoft Teams or comparable enterprise platforms.
• Working knowledge of RAG, vector databases, AI agents, and orchestration concepts.
• Experience designing and deploying applications in Azure, AWS, or Google Cloud, with attention to security and maintainability.
• Ability to work collaboratively across engineering and business teams and move solutions beyond proof of concept.

Preferred Qualifications

• Experience with multi-agent frameworks, autonomous workflows, or human-in-the-loop automation.
• Familiarity with LangChain, LangGraph, Semantic Kernel, AutoGen, Model Context Protocol (MCP), or similar technologies.
• Experience with LLM evaluation, observability, model security, or AI governance practices.
• Familiarity with cloud AI services, DevSecOps, deployment automation, or MLOps.
• Experience supporting enterprise-scale AI deployments and integrations across multiple applications.

Equal Employment Opportunity

XMS Solutions is an Equal Opportunity Employer.

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