• 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