AI Solution Architect - 100% Remote (REF1868Q)

Citizant Inc-posted about 2 months ago
Full-time • Mid Level
Remote • Chantilly, VA
101-250 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
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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.

  • 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.
  • Deep expertise in agentic AI systems
  • Expertise in cloud-native development
  • Expertise in enterprise architecture
  • Technical leadership
  • Experience in the design and implementation of AI solutions in Microsoft Azure environments
  • Customer engagement skills
  • Experience collaborating with clients to integrate AI-driven workflow optimizations
  • Experience ensuring successful adoption of agentic AI technologies
  • Technical expertise in Azure and AI
  • Strong customer-facing skills
  • Experience delivering transformative business outcomes
  • Experience using Azure AI services and third-party platforms via xAI's API
  • Experience designing end-to-end technical architectures that leverage Azure services, large language models (LLMs), agent frameworks, and secure data pipelines
  • Experience overseeing end-to-end implementation of agentic AI solutions, including model training, integration, and testing within Azure environments
  • Experience ensuring compliance with industry standards (e.g., GDPR, HIPAA) and Azure security best practices
  • Experience monitoring AI solution performance using Azure monitoring tools
  • Experience working with product owners, project managers, and engineering teams to translate business requirements into actionable solution architectures
  • Experience defining system interfaces, APIs, microservice architectures, and orchestration strategies for intelligent agent workflows
  • Experience ensuring technical deliverables meet standards for scalability, security, and maintainability
  • Experience leading architectural reviews, participating in sprint planning, and ensuring alignment with DevSecOps and MLOps best practices
  • Experience collaborating with stakeholders to evaluate new tools, models, and AI patterns that align with customer goals
  • Experience preparing technical documentation, diagrams, and architecture artifacts for internal and external stakeholders
  • Experience staying current with emerging technologies in AI, LLMs, and cloud computing
  • Experience contributing to internal knowledge sharing and training programs to upskill team members
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