AI Architect

Sourced from architecture.thecreativeloft.com

Mindlance seeks an experienced Applied AI Engineering Lead to architect and deliver enterprise-scale Agentic AI solutions for a Washington, DC client. The role drives adoption of LLMs, multi-agent systems, intelligent automation, and cloud-native AI architectures to modernize business processes and operations. You will lead multidisciplinary engineering teams and partner with product managers, enterprise architects, and business stakeholders to turn strategic objectives into scalable AI-powered solutions.

• Design enterprise AI architectures leveraging LLMs, Agentic AI frameworks, RAG, MCP servers, Semantic Kernel, and multi-agent orchestration platforms
• Define AI solution patterns, technical standards, and governance frameworks
• Design and implement autonomous AI agents for planning, reasoning, and task orchestration
• Build intelligent workflows for incident management, document processing, knowledge management, and customer support
• Develop prompt engineering, context engineering, memory management, and orchestration strategies
• Integrate AI solutions with enterprise applications, APIs, and business workflows
• Design data architectures supporting vector databases, semantic search, and knowledge graphs
• Architect and deploy AI solutions on Microsoft Azure with CI/CD, IaC, monitoring, and AIOps
• Lead and mentor onshore and offshore engineering teams and establish communities of practice

• Master's degree in Computer Science, IT, Data Science, AI, Engineering, or related discipline
• Minimum 10 years of professional software engineering and enterprise solution delivery experience
• Minimum 5 years of cloud architecture and modern application development experience
• Demonstrated experience delivering AI/ML and Generative AI solutions in large enterprises
• Proven experience leading cross-functional engineering teams
• Experience delivering solutions using Agile and Scrum methodologies