{"id":1522394,"url":"https://alion.io/job/seekr-staff-ai-infrastructure-engineer","title":"Staff AI Infrastructure Engineer","company":{"id":1994654,"name":"Seekr","domain":"seekr.com","url":"https://alion.io/company/seekr-com","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":80,"open_postings":10,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-20T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","Reston, United States","Menlo Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Ray Serve","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false},{"name":"Ray","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-07-08T15:57:36Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-20T11:54:35Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":103},"description":"Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Staff AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large-scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.\nYou will work across distributed systems, Kubernetes, GPU infrastructure, high-performance inference, and enterprise AI platforms to build secure, scalable, and highly reliable systems capable of serving workloads ranging from edge AI deployments to trillion-parameter foundation models.\nThis role requires deep expertise in distributed systems, cloud-native infrastructure, AI platform engineering, and production software development. You will collaborate with research scientists, software engineers, product teams, and infrastructure engineers to define the architecture and technical direction of Seekr’s AI platform.\nDuties and Responsibilities\nDesign, develop, deploy, and maintain production AI infrastructure supporting model training, fine-tuning, inference, evaluation, and agentic AI workloads.\nDesign and operate scalable Kubernetes-based infrastructure supporting GPU-accelerated workloads across cloud, on-premises, hybrid, and edge environments.\nArchitect and optimize high-performance inference platforms capable of serving models ranging from resource-constrained edge deployments to trillion-parameter foundation models, with a focus on latency, throughput, scalability, reliability, and cost efficiency.\nBuild and maintain distributed systems that enable reliable scheduling, orchestration, deployment, monitoring, and lifecycle management of AI workloads.\nDevelop enterprise platforms supporting autonomous and multi-agent AI systems, including secure tool execution, orchestration, memory, evaluation, governance, and observability.\nDesign, implement, and automate AI infrastructure using Infrastructure-as-Code, GitOps, CI/CD pipelines, and modern software engineering practices.\nEvaluate and integrate emerging AI infrastructure technologies, model serving frameworks, hardware accelerators, and cloud-native platforms to improve platform performance, scalability, and reliability.\nCollaborate with engineering, research, product, and cross-functional teams to deliver secure, scalable, and production-ready AI platforms.\nLead technical design discussions, perform architecture reviews, mentor engineers, and establish engineering standards and best practices across the AI Infrastructure organization.\nParticipate in production support activities, including troubleshooting complex distributed systems, performance tuning, incident response, and continuous operational improvement.\nSkills and Qualifications\n8-12+ years of professional software engineering experience building distributed systems, cloud infrastructure, or large-scale platform services\nArchitects systems, drives technical direction cross-functionally\n4 year or higher degree or additional relevant experience, in addition to years of work experience\nDemonstrated success designing and operating production Kubernetes environments supporting cloud-native applications and distributed services.\nStrong software engineering skills using Python and one or more modern programming languages such as Go, Rust, or C++.\nProven ability to design, build, and operate production AI or machine learning infrastructure.\nExpertise developing and optimizing large-scale AI inference platforms, including GPU utilization, distributed inference, batching, caching, quantization, and accelerator performance.\nFamiliarity with modern AI serving technologies such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar platforms.\nKnowledge of distributed computing, networking, storage systems, cloud-native architectures, and infrastructure automation using technologies such as Kubernetes, Helm, Argo CD, Docker, Prometheus, Grafana, OpenTelemetry, and Infrastructure-as-Code tools.\nExperience developing enterprise AI platforms, autonomous agents, or multi-agent systems, including orchestration, tool execution, governance, observability, and evaluation.\nFamiliarity with event-driven architectures, distributed messaging systems, and public cloud platforms including AWS, Azure, Oracle Cloud Infrastructure, or Google Cloud Platform.\nDemonstrated technical leadership, including driving architectural decisions, mentoring engineers, and leading complex technical initiatives across cross-functional teams.\nDemonstrated ability to analyze, profile, and optimize AI systems for performance, scalability, reliability, and cost across distributed compute environments.\nThis range reflects Seekr’s good faith estimate of what it expects to pay for this role at the time of posting. Placement within the range depends on a number of factors, including but not limited to geographic location, applicable labor categories under Seekr’s federal government contracts, relevant prior work experience, specific skills, education, and certifications. This role may also be eligible for annual bonus, equity, other other incentive compensation.\nThe proposed salary range for this position is:\n$200,000—$245,000 USD\nAbout the Company: \nSeekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society’s most sensitive and vital systems. Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom, and critical infrastructure leaders to enable AI solutions that drive real-world results with unmatched transparency and control. We are a team of strategic thinkers and problem-solvers tackling the toughest challenges facing critical infrastructure and global enterprises through best-in-class AI models and customer deployment. Our team operates with unwavering commitment to our core values and mission:\nWe are driven by outcomes-our customers' success is what we strive for every day.\nWe believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.\nWe take our responsibility to deliver secure AI seriously.\nWe believe innovation drives progress-we are building the technologies that power the systems our society depends on.\nCompany Benefits:\nMeaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter. \nEquity Ownership - RSUs that let you share directly in Seekr’s long-term success and growth.\n\nTime Off That Respects Real Life - Unlimited PTO plus 14 paid company holidays to truly recharge. \nWork Your Way - A flexible hybrid work environment with offices in Reston, VA and Austin, TX.\n\nCompetitive Total Rewards - A role-appropriate compensation structure that supports long-term growth, including base salary, bonuses, or commission plans depending on role.\n\n 401(k) with Company Match - Build your future with a retirement plan that includes employer matching. \nComprehensive Health & Wellness - Medical, dental, vision, and life insurance coverage starting day one-for you and your family. \nParental Leave - Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.\n\nImportant Notice: \nTo conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.\nSeekr is an Equal Opportunity Employer. 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