VP of Solutions Engineering

Emploi pas sur LinkedIn

🕒 il y a 9 mois

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $157 500 - $292 500 / an

⏰ Temps Plein

🔴 Expert

💻 Ingénieur Solutions

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Agile Defense

Site WebLinkedInTous les Emplois

501 - 1000 employés

🏛️ Gouvernement

🔒 Cybersecurity

Government • Cybersecurity • Defense

Agile Defense est une entreprise à la pointe de l'innovation, dédiée à fournir des capacités avancées et des solutions sur mesure pour des missions critiques de sécurité nationale et civiles. Avec un accent sur la transformation numérique, l'analyse de données et la cybersécurité, Agile Defense joue un rôle crucial dans la protection des actifs sensibles. L'entreprise utilise une approche axée sur les données pour fournir des insights qui améliorent les opérations des missions et accélèrent les processus de prise de décision. Agile Defense opère à l'échelle mondiale, avec une forte présence en Amérique du Nord, en Europe, en Asie et au Moyen-Orient, soutenant une large gamme de missions client. L'entreprise s'engage à explorer de nouvelles idées et technologies, favorisant une culture d'innovation pour faire progresser continuellement ses services.

Description

• 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, DevSecOps, 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 toolchains 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, DevSecOps 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 SKILLS & QUALIFICATIONS Required Skills • · Expertise architecting and deploying transformer based and retrieval augmented GenAI solutions in AWS, Azure, GCP or hybrid clouds • · Fluency across the DevSecOps toolchain including IaC, CI/CD, SBOM generation, vulnerability management, and policy-as-code • · Hands on development proficiency in one or more modern programming languages such as Python, TypeScript/JavaScript, and/or NodeJs. • · Hands on experience using frontend and backend modern frameworks such as React, Vuejs, FastAPI, Django, Express. • · Deep understanding of zero-trust, container security, and supply chain hardening practices for federal compliance (FedRAMP, NIST SP 80053, CNSS 1253) • · Distinguished verbal and written communication skills with a track record of briefing SES, Flag Officer, or Fortune500 executives • Preferred Skills • · Experience operationalizing AI/ML capabilities on air gapped or Secret/TS/SCI networks • · Familiarity with DoD Software Modernization Strategy, Platform One, and Joint Warfighting Cloud Capability (JWCC) ecosystems • · Publications, patents, or opensource contributions in AI safety, privacy enhancing technologies, or secure software factory design • · Scaled Agile Framework (SAFe) or equivalent enterprise agile transformation leadership. • WORKING CONDITIONS • Strength Demands • · Sedentary – 10 lbs. Maximum lifting, occasional lift/carry of small articles. Some occasional walking or standing may be required. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met. • Physical Requirements • · Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; Stoop, Kneel, Crouch, or Crawl; See; Push or Pull; Climb (stairs, ladders) or Balance (ascend / descend, work atop, traverse).

🎯 Exigences

• 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. • Expertise architecting and deploying transformer based and retrieval augmented GenAI solutions in AWS, Azure, GCP or hybrid clouds • Fluency across the DevSecOps toolchain including IaC, CI/CD, SBOM generation, vulnerability management, and policy-as-code • Hands on development proficiency in one or more modern programming languages such as Python, TypeScript/JavaScript, and/or NodeJs. • Hands on experience using frontend and backend modern frameworks such as React, Vuejs, FastAPI, Django, Express. • Deep understanding of zero-trust, container security, and supply chain hardening practices for federal compliance (FedRAMP, NIST SP 80053, CNSS 1253) • Distinguished verbal and written communication skills with a track record of briefing SES, Flag Officer, or Fortune500 executives • Experience operationalizing AI/ML capabilities on air gapped or Secret/TS/SCI networks • Familiarity with DoD Software Modernization Strategy, Platform One, and Joint Warfighting Cloud Capability (JWCC) ecosystems • Publications, patents, or opensource contributions in AI safety, privacy enhancing technologies, or secure software factory design • Scaled Agile Framework (SAFe) or equivalent enterprise agile transformation leadership.

🏖️ Avantages

• Happy - Be Infectious. • Helpful - Be Supportive. • Honest - Be Trustworthy. • Humble - Be Grounded. • Hungry - Be Eager. • Hustle - Be Driven. • Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities