Full-Time AI Solution Architect - 100% Remote

• 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.

• 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).

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

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