AI Solution Architect - 100% Remote (REF1868Q)

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.