AI Solution Architect

Job not on LinkedIn

October 23

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

💵 $170k - $185k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

Apply Now

Receive Emails with Similar Jobs

Citizant

WebsiteLinkedInAll Job Openings

Citizant designs and delivers smarter, leaner business and IT transformation solutions to the U.S. government, with a focus on the Departments of Treasury, Homeland Security, Justice, and Transportation. The company employs leading experts in Agile application development, DevOps implementation, IT modernization, enterprise data management, and program management support. Citizant has been independently appraised at CMMI-DEV Maturity Level 3 and CMMI-SVC Maturity Level 3, and is ISO 9001:2015 certified. Citizant is headquartered in Chantilly, Va., with offices in Washington, D.C., and employees serving government customers in more than 25 states. More information about the company is available at www.citizant.com.

51 - 200 employees

💰 Private Equity Round on 2012-12

📋 Description

• Serve as the technical and architecture lead on client engagements focused on implementing agentic AI-based solutions. • Architect and develop agentic AI solutions using Azure AI services and third-party platforms via xAI’s API. • Design end-to-end technical architectures that leverage Azure services, large language models (LLMs), agent frameworks, and secure data pipelines. • Oversee end-to-end implementation of agentic AI solutions, including model training, integration, and testing within Azure environments. • Ensure compliance with industry standards (e.g., GDPR, HIPAA) and Azure security best practices. • Monitor AI solution performance using Azure monitoring tools. • Work with product owners, project managers, and engineering teams to translate business requirements into actionable solution architectures. • Define system interfaces, APIs, microservice architectures, and orchestration strategies for intelligent agent workflows. • Ensure technical deliverables meet standards for scalability, security, and maintainability. • Lead architectural reviews, participate in sprint planning, and ensure alignment with DevSecOps and MLOps best practices. • Collaborate with stakeholders to evaluate new tools, models, and AI patterns that align with customer goals. • Prepare technical documentation, diagrams, and architecture artifacts for internal and external stakeholders. • Stay current with emerging technologies in AI, LLMs, and cloud computing. • Contribute to internal knowledge sharing and training programs to upskill team members.

🎯 Requirements

• 7+ years of experience in software engineering and/or architecture roles • 3+ years of experience delivering solutions on Microsoft Azure • Proven experience in architecting and delivering agent-based AI systems, LLM-integrated applications, or intelligent automation platforms. • Familiarity with multi-agent orchestration frameworks. • Strong understanding of prompt engineering and retrieval-augmented generation (RAG). • Proficiency in programming languages such as Python, R, or C# for AI model development. • Experience with enterprise integration patterns, RESTful API design, and event-driven architectures. • Familiarity with security, compliance, and identity/access management in Azure environments. • Strong communication and presentation skills, with experience interfacing directly with both technical resources and executive stakeholders. • Customer-centric mindset with a focus on delivering measurable business value. • Experience delivering software projects under Agile/Scrum methodologies.

🏖️ Benefits

• excellent compensation and benefits • personal and professional development