{"id":127808,"url":"https://alion.io/job/hiddenlayer-ai-solutions-architect-federal","title":"AI Solutions Architect- Federal","company":{"id":48081,"name":"HiddenLayer","domain":"hiddenlayer.com","url":"https://alion.io/company/hiddenlayer","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":16,"ghost_share":0.438,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":252000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":351},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GGUF","optional":false},{"name":"GitHub","optional":false},{"name":"Helm","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"ONNX","optional":false},{"name":"OpenShift","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Safetensors","optional":false},{"name":"VMWare","optional":false}],"status":"live","first_seen_at":"2026-06-11T18:58:49Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-19T06:33:14Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":129},"description":"AI Solutions Architect- Federal\nLocation- Remote (US), DC Metro Area Preferred\nClearance- Active Top Secret or TS eligible strongly preferred\nABOUT THE ROLE:\nYou will serve as the pre-sales technical lead for federal pursuits spanning the Intelligence Community, DoW/DoD, DHS, and civilian agencies. Partnering with Account Directors, you will help mission owners adopt AI and machine learning with purpose built AI Security Platform, carrying each opportunity from the first discovery conversation through proof of value and technical win. \nYou will architect and deploy our platform in both connected SaaS and fully disconnected, airgapped environments. You will write real integrations against our SDKs and APIs. You will create mission-focused demonstrations and proof-of-concept AI applications that show how AI workloads are attacked and how we defend them.\nWHO WE ARE:\nHiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. \nOur dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.\nWHAT YOU'LL DO:\nLead Technical Engagements\nLead discovery workshops to understand customer missions, AI initiatives, architectures, data pipelines, and security and compliance requirements.\nTranslate ambiguous mission needs into scoped proof-of-value engagements with measurable success criteria, timelines, and exit conditions.\nQualify technical fit honestly, including what our platform will, and will not do.\nYou derive scope from chaos, turning loosely defined mission problems into concrete evaluation plans with measurable success criteria.\nCreate the real-world solution\nArchitect and deploy the HiddenLayer platform in SaaS and fully airgapped environments, including packaging container images, Helm charts, and artifacts for transfer into networks with no internet access.\nStand up and administer Kubernetes-based deployments using Docker, Helm, and private registries across cloud environments (including AWS government and disconnected regions) and on-premises virtualization platforms such as VMware, Proxmox, and OpenShift.\nBuild mission-focused demonstrations and proof-of-concept AI applications (computer vision, LLM, and agentic workloads) and integrate HiddenLayer SDKs and APIs to protect them, from model scanning in CI/CD pipelines to runtime detection and response.\nAdvise customers on securing models, AI applications, data pipelines, and supporting infrastructure, aligned to frameworks such as MITRE ATLAS, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework.\nInfluence others on the solution\nDeliver live demonstrations and architecture sessions tailored to mission outcomes for audiences ranging from data scientists and ML engineers to security teams and senior executives.\nProduce clear written deliverables, including evaluation reports, reference architectures, and integration guides.\nSupport onboarding, troubleshooting, and integration through evaluations and initial deployments in partnership with Customer Success.\nShowcase learnings and best practices\nRepresent HiddenLayer at industry conferences, government engagements, webinars, and technical events.\nConvert field learnings into reusable demos, internal enablement, and structured feedback to Product, Research, and Engineering.\nMaintain deep currency in adversarial machine learning and the evolving AI threat landscape, and raise the technical bar of everyone around you.\n\nWHO YOU ARE:\n5+ 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.\nYou 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.\nYou are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.\nYou understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.\nYou have working security literacy, including adversarial machine learning concepts and common AI attack classes, and you can discuss them credibly without overclaiming.\nYou have operated inside federal missions, not just sold to them, and you can speak to mission outcomes with specificity.\nYou are comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings.\nYou 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.\nYou can travel as needed to support customer engagements and industry events.\nBONUS:\nYou have secured AI/ML systems in production or supported AI programs operating in classified environments.\nYou have experience with model file formats and AI supply chain concerns, including ONNX, SafeTensors, GGUF, and pickle-based serialization.\nYou have red-teamed LLM applications or worked with AI security and evaluation tooling.\nYou hold relevant certifications (Kubernetes, AWS, Azure, CISSP, or Security+) or have delivered under federal compliance regimes.\nYou have public work we can look at, such as GitHub repositories, Hugging Face artifacts, conference talks, or technical writing.\nWHY HIDDENLAYER?\nWe just raised $100M in Series B funding led by Delta-v Capital, with backing from Morgan Stanley, Microsoft's venture arm, Booz Allen Hamilton, and others. It's a validation of what we've built: 10x revenue growth, 50+ new enterprise customers, and deployments across defense, finance, and the world's largest AI platforms. This funding goes straight into expanding our platform and GTM capabilities, and into growing our team globally.\nAttracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including:\nFully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. \nFlexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.\nCommitment 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.\nDiversity, 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.\nTo learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.\nHiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. 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