AI / AI Platform Architect

• Define AI architecture, technical direction, and implementation patterns.
• Develop and deploy reusable AI acceleration frameworks and components.
• Design and implement RAG and LLM-based applications.
• Develop Agentic AI solutions and tool-based workflows.
• Establish evaluation strategies and frameworks for LLMs and AI models.
• Promote AI Ops practices for monitoring, evaluation, deployment, and production support.
• Build reusable templates, skills, components, and reference architectures.
• Collaborate closely with engineering teams to implement applied AI solutions.
• Help teams improve development speed, scalability, and production readiness.
• Drive the adoption of modern applied AI engineering practices.

The candidate should have recent hands-on experience developing and deploying production-ready AI solutions and should be able to help teams accelerate the adoption of applied AI practices.

Essential Skills

• Hands-on Python engineering and production AI/ML development.
• Strong experience with Databricks and MLflow.
• Experience with Azure AI Foundry is preferred.
• Strong understanding of RAG and LLM application architecture.
• Experience designing and implementing Agentic AI patterns and tool-based workflows.
• Experience with LLM and model evaluation frameworks.
• Ability to design and develop reusable AI accelerators, templates, and reference implementations.
• Experience with AI Ops and production AI deployment practices.
• Strong understanding of reusable AI skills, components, and frameworks.
• Ability to work hands-on with engineering teams and contribute to production implementations., * Experience with Azure AI services and cloud-based AI platforms.
• Experience building production-grade AI/ML applications.
• Knowledge of AI governance, security, and responsible AI practices.
• Experience with CI/CD and cloud deployment for AI applications.
• Strong problem-solving and communication skills.