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Citizant logo
Citizant

Working with Federal agencies on IT and business transformation. Follow us for info on Agile/DevOps & Data Strategies.

AI Solution Architect

Solutions EngineerSolutions EngineerOtherRemoteLeadTeam 51-200Since 1999H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

102 days ago

Salary

$170K - $185K / year

Seniority

Lead

Bachelor Degree7 yrs expEnglishAzurePython

Job Description

AI Solution Architect

Citizant

• 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

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

Benefits

  • excellent compensation and benefits
  • opportunity for personal and professional development

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