Agentic AI Data Architect -- KAUDC5785962

Job Summary

We are seeking a Principal Solution Architect – AI Solutions to design and govern scalable, enterprise-grade AI architectures. This role focuses on building production-ready AI systems, including agent-based frameworks, workflow-embedded AI, and enterprise integrations, enabling organizations to scale AI solutions beyond pilot stages.

Key Responsibilities

• Lead end-to-end architecture for AI-enabled solutions aligned with enterprise standards
• Translate business and product requirements into scalable architectures and reusable patterns
• Define architectural patterns for orchestration, memory, evaluation, and secure integrations
• Provide oversight across design, development, deployment, and operational readiness
• Guide trade-offs across cost, performance, scalability, and maintainability
• Design and implement agent-based AI frameworks and multi-agent systems

• Develop workflow-embedded AI solutions with governance and auditability
• Collaborate with business and technical stakeholders to drive AI adoption
• Contribute to enterprise AI platforms and architecture ecosystems

Required Qualifications

• Bachelors degree in a technical field or equivalent experience
• 10+ years of experience in solution, system, or enterprise architecture
• Strong experience in cloud-native, API-driven, event-based, and composable architectures
• Experience with Databricks architecture, including data patterns, model serving, and secure deployment
• Experience with agent-based AI frameworks such as LangGraph, Semantic Kernel, or similar tools

• Looking to get Placed? Try our Placement Guarantee Plan

  Get Hired
  Experience designing multi-agent systems with orchestration, memory, and integration capabilities
• Knowledge of AI evaluation techniques including performance, robustness, and cost considerations
• Experience designing workflow-integrated AI solutions with governance and auditability
• Strong leadership, communication, and stakeholder management skills

Preferred Qualifications

• Experience in domains such as engineering, manufacturing, or product support
• Familiarity with Azure-based AI and application architectures
• Experience with enterprise search, RAG architectures, and knowledge integration systems
• Experience designing scalable, reusable AI solutions across enterprise environments