AI Solution Architect

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AI Solution Architect - 100% Remote (REF1868Q)

• Full-time
• Compensation: USD170,000- USD185,000- yearly
  
  

Company Description

Citizant is a leading provider of professional IT services to the U.S. government. We seek to address some of our country’s most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, and Program Management support services – focusing on the U.S. Departments of Homeland Security and Treasury. We strive to hire only ethical, talented, passionate, and committed “A Players” who already align with the company’s core values: Drive, Excellence, Reputation, Responsibility, and a Better Future. No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all individual contributions.

Job Description

We are seeking a Solution Architect with deep expertise in agentic AI systems, cloud-native development, and enterprise architecture to provide technical leadership and oversight for the design and implementation of AI solutions in Microsoft Azure environments. The Solution Architect will play a critical role in driving customer engagements, collaborating with clients to integrate AI-driven workflow optimizations, and ensuring successful adoption of agentic AI technologies. This role combines technical expertise in Azure and AI with strong customer-facing skills to deliver transformative business outcomes.

Responsibilities

• 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.
  
  

Qualifications

• 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.
  
  

Education

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s degree is preferred).
  
  

Certifications (Preferred)

• Microsoft Certified: Azure AI Engineer Associate.
• Microsoft Certified: Azure Solutions Architect Expert.
  
  

Clearance Requirements

• U.S. citizenship is required
• Public Trust clearance or have the ability to obtain one.
  
  

Additional Information

Citizant strives to be an employer of choice in the Washington metropolitan area. Citizant associates accept challenging and rewarding work and in return receive excellent compensation and benefits, as well as the opportunity for personal and professional development.

Citizant is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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