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Associate Ai Infrastructure Engineer Jobs (NOW HIRING)

Seekr

Senior AI Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

As a Senior 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 ...

Socket.dev

AI Infrastructure Engineer

Los Altos, CA · On-site

$110 - $170/hr

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI products ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Spellbrush is the world's leading generative AI studio behind niji・journey, and they are seeking an AI Infrastructure Engineer to build out end-to-end ML infrastructure. The role involves designing ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA

$127K - $173K/yr

About the role We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the high-performance AI platform powering our autonomous driving models. While researchers focus on ...

vCluster Labs

AI Infrastructure Engineer

New York, NY · Remote

$110K - $144K/yr

As an AI Infrastructure Engineer, your role will include: * Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

About the role We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the high-performance AI platform powering our autonomous driving models. While researchers focus on ...

Scout Motors

AI Infrastructure Engineer

Charlotte, NC · On-site

$140K - $170K/yr

Deploy and manage AI services across cloud and on-prem environments. * Automate infrastructure ... Collaborate with engineering, data, and product teams to support AI initiatives. * Excellent ...

Scout Motors

AI Infrastructure Engineer

Charlotte, NC · On-site

$105K - $137K/yr

Deploy and manage AI services across cloud and on-prem environments. * Automate infrastructure ... Collaborate with engineering, data, and product teams to support AI initiatives. * Excellent ...

AMAX

AI Infrastructure Engineer

Fremont, CA · On-site

$126K - $165K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

AMAX

AI Infrastructure Engineer

Fremont, CA · On-site

$126K - $165K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

Visa Hunt

AI Infrastructure Engineer

San Francisco, CA · On-site

$180 - $240/hr

Spellbrush, the world's leading generative AI studio behind niji・journey, is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on ...

AMAX

AI Infrastructure Engineer

Fremont, CA

$117K - $154K/yr

Development and deployment of AI infrastructure workloads on-prem (GPU scheduling, model serving ... infra engineering Benefits * Medical Insurance * Dental Insurance * Vision Insurance * 401(k)

Visa Hunt

$180 - $240/hr

Spellbrush, the world's leading generative AI studio behind niji・journey, is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on ...

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Associate Ai Infrastructure Engineer information

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How much do associate ai infrastructure engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for associate ai infrastructure engineer in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

How much do associate AI infrastructure engineers make?

Associate AI infrastructure engineers typically earn between $70,000 and $100,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while those with specialized skills in cloud platforms, machine learning tools, or certifications can earn higher salaries.
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Associate Ai Infrastructure Engineer jobs near you
Infographic showing various Associate Ai Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

Senior AI Infrastructure Engineer

Austin, TX • On-site

Seekr
See more jobs at Seekrexternal

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Senior 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.
You 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.
This 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.
Duties and Responsibilities
  • Design, develop, deploy, and maintain production AI infrastructure supporting model training, fine-tuning, inference, evaluation, and agentic AI workloads.
  • Design and operate scalable Kubernetes-based infrastructure supporting GPU-accelerated workloads across cloud, on-premises, hybrid, and edge environments.
  • Architect 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.
  • Build and maintain distributed systems that enable reliable scheduling, orchestration, deployment, monitoring, and lifecycle management of AI workloads.
  • Develop enterprise platforms supporting autonomous and multi-agent AI systems, including secure tool execution, orchestration, memory, evaluation, governance, and observability.
  • Design, implement, and automate AI infrastructure using Infrastructure-as-Code, GitOps, CI/CD pipelines, and modern software engineering practices.
  • Evaluate and integrate emerging AI infrastructure technologies, model serving frameworks, hardware accelerators, and cloud-native platforms to improve platform performance, scalability, and reliability.
  • Collaborate with engineering, research, product, and cross-functional teams to deliver secure, scalable, and production-ready AI platforms.
  • Lead technical design discussions, perform architecture reviews, mentor engineers, and establish engineering standards and best practices across the AI Infrastructure organization.
  • Participate in production support activities, including troubleshooting complex distributed systems, performance tuning, incident response, and continuous operational improvement.

Skills and Qualifications
  • 5-8 years of professional software engineering experience building distributed systems, cloud infrastructure, or large-scale platform services
  • Strong production ML infra experience, executes complex work independently, owns significant components
  • 4 year or higher degree or additional relevant experience, in addition to years of work experience
  • Demonstrated success designing and operating production Kubernetes environments supporting cloud-native applications and distributed services.
  • Strong software engineering skills using Python and one or more modern programming languages such as Go, Rust, or C++.
  • Proven ability to design, build, and operate production AI or machine learning infrastructure.
  • Expertise developing and optimizing large-scale AI inference platforms, including GPU utilization, distributed inference, batching, caching, quantization, and accelerator performance.
  • Familiarity with modern AI serving technologies such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar platforms.
  • Knowledge 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.
  • Experience developing enterprise AI platforms, autonomous agents, or multi-agent systems, including orchestration, tool execution, governance, observability, and evaluation.
  • Familiarity with event-driven architectures, distributed messaging systems, and public cloud platforms including AWS, Azure, Oracle Cloud Infrastructure, or Google Cloud Platform.
  • Demonstrated technical leadership, including driving architectural decisions, mentoring engineers, and leading complex technical initiatives across cross-functional teams.
  • Demonstrated ability to analyze, profile, and optimize AI systems for performance, scalability, reliability, and cost across distributed compute environments.

About the Company:
Seekr 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:
  • We are driven by outcomes-our customers' success is what we strive for every day.
  • We believe trust is earned, which is why we build explainability and transparency into the entire AI lifecycle.
  • We take our responsibility to deliver secure AI seriously.
  • We believe innovation drives progress-we are building the technologies that power the systems our society depends on.

Company Benefits:
  • Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
  • Equity Ownership - RSUs that let you share directly in Seekr's long-term success and growth.
  • Time Off That Respects Real Life - Unlimited PTO plus 14 paid company holidays to truly recharge.
  • Work Your Way - A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
  • Competitive Total Rewards - A role-appropriate compensation structure that supports long-term growth, including base salary, bonuses, or commission plans depending on role.
  • 401(k) with Company Match - Build your future with a retirement plan that includes employer matching.
  • Comprehensive Health & Wellness - Medical, dental, vision, and life insurance coverage starting day one-for you and your family.
  • Parental Leave - Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.

Important Notice:
To 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.
Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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