AI Solutions Architect – Federal

🕒 Junho 11

🏛️ District of Columbia – Remoto

infoinfo

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 25%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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HiddenLayer

51 - 200 funcionários

Fundada em 2022

🤖 Inteligência Artificial

🔒 Cibersegurança

💳 Fintech

Artificial Intelligence • Cybersecurity • Fintech

HiddenLayer é a primeira plataforma de segurança dedicada à inteligência artificial, projetada para proteger modelos de IA contra ataques adversariais que podem ameaçar vantagens competitivas. Em parceria com a Microsoft Azure, a HiddenLayer oferece um conjunto de soluções que inclui detecção e resposta para IA, varredura de segurança e relatórios automatizados para proteger algoritmos de aprendizado de máquina sem precisar de acesso aos dados subjacentes. Fundada por profissionais com ampla experiência em IA e segurança, a HiddenLayer tem como objetivo fornecer uma forma direta e eficaz para que as empresas protejam seus ativos de IA.

Descrição

• You will serve as the pre-sales technical lead for federal pursuits spanning the Intelligence Community, DoW/DoD, DHS, and civilian agencies. • Architect and deploy our platform in both connected SaaS and fully disconnected, airgapped environments. • Write real integrations against our SDKs and APIs. • Create mission-focused demonstrations and proof-of-concept AI applications that show how AI workloads are attacked and how we defend them. • Lead discovery workshops to understand customer missions, AI initiatives, architectures, data pipelines, and security and compliance requirements. • Translate ambiguous mission needs into scoped proof-of-value engagements with measurable success criteria, timelines, and exit conditions. • Qualify technical fit honestly, including what our platform will, and will not do. • Deliver live demonstrations and architecture sessions tailored to mission outcomes for audiences ranging from data scientists and ML engineers to security teams and senior executives.

🎯 Requisitos

• 5+ years in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role, including direct support of federal customers across the IC, the DoD/DoW, DHS, or civilian agencies. • You build with AI, hands on. You are fluent in Python and comfortable across the modern AI stack, including model formats and inference, LLM APIs, retrieval and agentic patterns, and frameworks such as PyTorch, Hugging Face, and ONNX. • You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments. • You understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline. • You have working security literacy, including adversarial machine learning concepts and common AI attack classes, and you can discuss them credibly without overclaiming. • You have operated inside federal missions, not just sold to them, and you can speak to mission outcomes with specificity. • You are comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings. • You are demonstrably curious. You can point to things you taught yourself recently, whether side projects, home labs, publications, open-source contributions, or entirely new domains you pursued on your own. • You can travel as needed to support customer engagements and industry events.

🏖️ Benefícios

• Fully Remote: We are a completely remote global team. • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays. • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events. • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

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