{"id":3407134,"url":"https://alion.io/job/verisign-principal-ai-enablement-engineer","title":"Principal AI Enablement Engineer","company":{"id":1753436,"name":"VERISIGN","domain":"verisign.com","url":"https://alion.io/company/verisign-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180700,"max":244500,"currency":"USD","period":"year","gross":null,"usd_annual":244500},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Tokenization","optional":false},{"name":"AI Agents","optional":true},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true},{"name":"llama.cpp","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Ollama","optional":true},{"name":"RAG","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-28T15:14:35Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T13:50:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services. \nWe are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career.\nWe are building a new engineering team responsible for establishing and operating the company's on-premises Artificial Intelligence and Large Language Model (LLM) platform. The Principal Engineer will serve as the senior technical authority for the platform and will help define how AI capabilities are safely, reliably, and effectively implemented throughout the company.\nThis is a hands-on technical leadership position. The successful candidate will combine strong systems and infrastructure engineering skills with practical knowledge of modern LLMs, inference platforms, developer tooling, and AI-assisted workflows in an enterprise environment.\nThe Principal Engineer will have substantial influence over architecture, technology selection, engineering standards, operational practices, and the long-term technical direction of the platform. This must be accomplished while continuing the Protect / Grow / Manage framework that guides the company.\nKey Responsibilities:\nServe as the principal technical authority for the company's on-premises AI and LLM architecture\nDesign, implement, operate, and evolve production LLM inference platforms\nEvaluate and recommend models, inference engines, developer tools, agent frameworks and supporting technologies\nDevelop repeatable evaluation methodologies for determining model quality, performance, reliability and suitability for company workloads\nWork with Information Security teams to design secure mechanisms for applying LLMs to proprietary source code, internal data, documentation, and analytical workloads\nDevelop and work with engineering teams to create the most appropriate AI-assisted software engineering capabilities. This includes coding agents, tool use, repository integration, retrieval systems, and related developer workflows\nEnhance existing engineering practices and update them to perform, model deployment, upgrades, rollback, observability, capacity planning and incident response\nWork closely with security and infrastructure teams to establish appropriate controls for sensitive corporate information\nEvaluate emerging AI technologies and distinguish technologies suitable for production use from experimental or immature approaches\nPrototype new capabilities and convert successful experiments into reliable production services\nMentor other engineers on the AI platform team and provide technical leadership across organizational boundaries\nWork directly with internal users to identify high-value applications for AI, including software development, data analysis, automation, and knowledge retrieval\nRequired Qualifications:\nBachelor's degree in Computer Science, Information Technology, Telecommunications, or related field or equivalent experience \n15+ years computer engineering experience\nExtensive experience designing, operating or troubleshooting complex production systems\nStrong Linux systems engineering experience\nStrong understanding of distributed systems, networking, storage, containers, and modern infrastructure platforms\nExperience with modern software development practices, source control, CI/CD, automation, and infrastructure-as-code\nStrong programming or scripting ability in languages such as Python, Go, C/C++ or equivalent\nPractical experience deploying LLMs\nUnderstanding of LLM inference concepts including context windows, tokenization, quantization, batching, concurrency, memory requirements, and accelerator utilization\nAbility to lead major technical initiatives without requiring direct personnel management authority\nExcellent written and verbal communication skills\nPreferred Qualifications:\nExperience in several of the following areas is desirable. Expertise in every area is not expected.\nGPU or accelerator-based computing\nLLM inference engines such as llama.cpp, vLLM, Ollama, TensorRT-LLM or similar technologies\nKubernetes or other container orchestration platforms\nRetrieval-Augmented Generation (RAG), embeddings, vector search, and enterprise knowledge retrieval\nAgentic AI systems, tool-calling models, coding agents, or Model Context Protocol (MCP)\nAI-assisted software development environments and workflows\nModel evaluation, benchmarking, and automated evaluation frameworks\nOpen-weight LLM deployment and model lifecycle management\nEnterprise authentication, authorization, secrets management, and audit systems\nWorking in environments with strict security, privacy, reliability or regulatory requirements\nSecurity and Responsible AI Expectations\nSecurity and governance are central to this role. The AI Enablement Engineer will be expected to help technical teams adopt AI capabilities in a manner that protects company data, aligns with approved use policies, and supports responsible AI practices.\nThis includes understanding how AI tools interact with sensitive information, how access to AI capabilities should be controlled, and how technical users can safely incorporate AI into engineering workflows. The role requires a strong security mindset and the ability to work closely with governance, security, and platform stakeholders. \nThis position is based in our Reston, VA office and offers a hybrid work schedule.\nThe pay range is $180,700 - $244,500. \nThe anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.\nVerisign is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law.\nAdditional Information:\nOur Careers Page\nOur Benefits Summary\nVerisign in the Community\nOur EEO Statement\nOur Privacy Notice for Job Applicants/Candidates\nReasonable Accommodations\nStaffing agency policy: No fees will be paid for unsolicited resumes submitted to Verisign or our employees by third parties.","description_format":"text","description_chars":6668,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Internet Services","Domain Registrars & Registries","DNS Services"],"lifecycle":[{"event":"open","at":"2026-10-28T16:35:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 15 · green card filings: 2","filings_12m":15,"filings_prev_12m":18,"green_card_filings_12m":2,"median_offered_wage_usd":163382,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":9}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":66,"reasons":["conf:0","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":244500,"is_top_pay":true},"html_url":"https://alion.io/job/verisign-principal-ai-enablement-engineer","json_url":"https://alion.io/job/verisign-principal-ai-enablement-engineer.json","meta":{"generated_at":"2026-10-29T17:13:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25779,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753436},"rest":"https://alion.io/mcp/rest/get_company?id=1753436"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fverisign-principal-ai-enablement-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fverisign-principal-ai-enablement-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fverisign-principal-ai-enablement-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/verisign-principal-ai-enablement-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fverisign-principal-ai-enablement-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3407134}},{"tool":"search_jobs","arguments":{"company":"verisign.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3407134},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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