Agentic AI Architect - Hybrid Enterprise LLM Orchestrator

Mindlance, Inc.; Washington (District of Columbia); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Mindlance, Inc. seeks an experienced Applied AI Engineering Lead to drive the design, development, and implementation of enterprise-scale Agentic AI solutions.

You will lead adoption of LLMs, multi-agent systems, intelligent automation, and cloud-native AI architectures to modernize processes and accelerate knowledge management. You will collaborate with product managers, enterprise architects, and engineers to translate strategy into scalable AI-powered platforms, establish governance, and

Qualifications

• Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or related discipline.
• Minimum 10 years of professional experience in software engineering and enterprise solution delivery.
• Minimum 5 years of experience in cloud architecture and modern application development.
• 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.

Responsibilities

• Design enterprise AI architectures leveraging LLMs, Agentic AI frameworks, and multi-agent orchestration.
• Develop autonomous AI agents capable of planning, reasoning, and task orchestration.
• Build intelligent workflows for incident management, knowledge management, and support.
• Architect data platforms with vector databases and semantic search.
• Lead CI/CD, infrastructure-as-code, monitoring, observability, and AIOps.

Skills

Leadership experience

Team leadership

AI/ML delivery

Cross-functional

Agile/Scrum

Education

Master's degree in CS/IT/DS/AI/Engineering

Job description

Mindlance, Inc. seeks an experienced Applied AI Engineering Lead to drive the design, development, and implementation of enterprise-scale Agentic AI solutions.

You will lead adoption of LLMs, multi-agent systems, intelligent automation, and cloud-native AI architectures to modernize processes and accelerate knowledge management. You will collaborate with product managers, enterprise architects, and engineers to translate strategy into scalable AI-powered platforms, establish governance, and