Senior Solutions Engineering Lead

Overview

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation’s most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1107

Job Title : VP of Solutions Engineering

Salary Range: $157,500 - $292,500

Summary

Agile Labs is the innovation engine of Agile Defense, charged with rapidly conceiving, prototyping, and operationalizing next generation capabilities for our federal and commercial customers. From mission specific GenAI assistants to Dev Sec Ops  pipelines and threat informed cyber platforms, the Lab turns bold ideas into field ready solutions that scale across the enterprise. Our multidisciplinary teams combine research, design, engineering, and delivery excellence, enabling customers to adopt cutting-edge technology at the speed of relevance while complying with the most stringent security and compliance requirements.

The Vice President of Solutions Engineering sets the technical vision and delivery blueprint for Agile Labs. The role blends deep, hands-on architecture with executive level portfolio leadership. You will shape roadmaps for Applied AI, cloud native applications, Dev Sec Ops , and Cyber Defense offerings, then lead distributed teams in turning those strategies into production systems. Acting as chief engineer, you will engage C-level stakeholders, translate mission needs into actionable backlog and working prototypes, all while author compelling technical proposals and white papers.

You will also cultivate a culture of experimentation, rapidly building prototypes that derisk adoption of emerging technologies such as multimodal foundation models, autonomous agents, confidential compute, and software supply chain security. Internally, you will provide mentorship of engineering prowess to more than 2000 employees through Community of Practice forums, Labs solutions, and enablement programs, ensuring our workforce stays ahead of industry curves.

Job Duties And Responsibilities

• Define and maintain the solutions architecture framework and reference implementations for all Agile Labs service lines.
• Lead opportunity shaping, technical capture, and proposal writing for new business, owning the end-to-end solution narrative.
• Oversee delivery execution for high visibility AI, Dev Sec Ops , and Cyber programs, ensuring outcomes meet cost, schedule, performance, and compliance goals.
• Drive the evaluation, selection, and integration of commercially available and opensource AI models, orchestration frameworks, and MLOps tool chains into secure cloud environments.
• Steward Agile Labs’ IP roadmap, prioritizing R&D investments that create reusable accelerators and differentiated capabilities.
• Represent Agile Defense in industry forums and customer briefings, speaking authoritatively on GenAI adoption, secure cloud modernization, and zero trust architectures.
• Establish engineering best practices, quality gates, and SRE informed operations that enable rapid, reliable releases in classified and unclassified domains.
• Foster a high performance, inclusive culture that attracts, develops, and retains top engineering talent.

SUPERVISORY DUTIES

• Provides direct line management to Solutions Architects, Dev Sec Ops  engineers, and Data Scientists across multiple concurrent programs.

QUALIFICATIONS Required Certifications

Education, Background, and Years of Experience

• Bachelor’s degree in Computer Science, Engineering, or related field;
  Master’s preferred
• Fifteen or more years of progressive software or systems engineering experience with at least five years directing multi disciplinary delivery teams
• Proven record delivering production Generative AI, MLOps, or large scale data platforms in regulated environments
• Demonstrated success leading and supporting technical capture efforts.

ADDITIONAL…