Remote Senior Infrastructure Architect Jobs
Remote Senior Infrastructure Architect jobs are in active demand at remote-first companies and large distributed teams, including employers like Speechify, CVS Health, and Humana, from junior to senior. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 685+ Remote Senior Infrastructure Architect jobs
Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for an AI (Artificial Intelligence) Infrastructure Architect to design, implement, and support Enterprise AI initiatives that support the Laboratory. You will work as part of a small, collaborative team responsible for AI infrastructure focused initiatives that will benefit LivIT and the entire Lab. You will collaborate with AI Engineers, Developers, IT Infrastructure and leadership across LivIT and our programmatic customers to drive strategic AI efforts that support innovative needs and operational efficiencies. This position offers the opportunity to work in a dynamic and highly technical environment, supporting critical infrastructure for enterprise-level applications. This position is in the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate and in support of the LivIT Systems Networks & Technologies Program Area.
This position will be filled at either the SES.3 or SES.4 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
- Analyze operational inefficiencies and propose AI-driven solutions.
- Leverage expertise in automation to optimize workflows, monitoring, and configuration management for AI frameworks, tools, and platforms.
- Develop robust AI pipelines and infrastructure that align with organizational goals and business requirements.
- Ensure AI related infrastructure efforts comply with security policy, collaborating with our Cyber Security Program.
- Evaluate and integrate emerging AI technologies and tools in support of infrastructure initiatives, such as MLOps platforms, model optimization frameworks, and other AI services, to enhance infrastructure capabilities.
- Monitor and analyze AI infrastructure performance, identify bottlenecks, and implement solutions to ensure scalability, reliability, and cost efficiency.
- Perform other duties as assigned.
Additional responsibilities at the at the SES.4 Level
- Oversee and lead the lifecycle of AI systems architectures, including requirements gathering, capacity planning, design, development, testing, documentation, implementation, upgrades, and performance optimization.
- Serve as a mentor to and share knowledge with team members to enhance AI skills and abilities across the organization.
Qualifications
- Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
- Bachelor’s degree in Computer Science, Software Engineering, Management Information Systems, or a related field, or an equivalent combination of education and relevant experience.
- Significant experience in Python, R, or other programming languages commonly used in AI development, with a strong understanding of scripting for automation and operational workflows.
- Advanced experience with NLP tools and techniques for automating tasks such as ticket triage, sentiment analysis, or chatbots, with proficiency in libraries such as SpaCy, NLTK, or Hugging Face.
- Hands-on experience with at least three AI or GenAI tools and frameworks, such as OpenAI, Anthropic, Co-Pilot, Amazon Q, Hugging Face, TensorFlow, PyTorch, Bedrock, RAG solutions, or similar technologies.
- Significant experience with at least two automation tools, frameworks, or Infrastructure-as-Code (IaC) platforms, including Ansible, Terraform, Kubernetes, Puppet, Jenkins, or comparable solutions.
- Extensive experience in systems programming to develop, configure, monitor, and automate web applications, cloud services, containers, and COTS infrastructures to ensure high availability and robust security.
- Proven ability to collaborate effectively with customers, IT teams, developers, database administrators, systems administrators, and security professionals to design and deliver containerized infrastructures and services tailored to business objectives.
- Advanced verbal and written communication skills necessary for preparing and delivering presentations, articulating findings and recommendations, and influencing management decisions using data-driven insights.
Additional qualifications at the SES.4 Level
- Expert knowledge of Infrastructure-As-Code (IaC) and CI/CD workflow pipelines to help support GenAI infrastructure modernization efforts.
- Expert knowledge of APIs, microservices, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Highly advanced knowledge of IT Infrastructure, including networks, servers, cloud platforms, and IT Service Management (ITSM) tools.
- Significant hands-on experience building, managing, and scaling data lakes.
Pay Range
$175,530 - $222,564 Annually for the SES.3 level
$210,630 - $267,060 Annually for the SES.4 level
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#Ll-Hybrid
Position Information
This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).
Why Lawrence Livermore National Laboratory?
- Included in 2026 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Our values - visit https://www.llnl.gov/inclusion/our-values
Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for an AI (Artificial Intelligence) Infrastructure Architect to design, implement, and support Enterprise AI initiatives that support the Laboratory. You will work as part of a small, collaborative team responsible for AI infrastructure focused initiatives that will benefit LivIT and the entire Lab. You will collaborate with AI Engineers, Developers, IT Infrastructure and leadership across LivIT and our programmatic customers to drive strategic AI efforts that support innovative needs and operational efficiencies. This position offers the opportunity to work in a dynamic and highly technical environment, supporting critical infrastructure for enterprise-level applications. This position is in the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate and in support of the LivIT Systems Networks & Technologies Program Area.
This position will be filled at either the SES.3 or SES.4 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
- Analyze operational inefficiencies and propose AI-driven solutions.
- Leverage expertise in automation to optimize workflows, monitoring, and configuration management for AI frameworks, tools, and platforms.
- Develop robust AI pipelines and infrastructure that align with organizational goals and business requirements.
- Ensure AI related infrastructure efforts comply with security policy, collaborating with our Cyber Security Program.
- Evaluate and integrate emerging AI technologies and tools in support of infrastructure initiatives, such as MLOps platforms, model optimization frameworks, and other AI services, to enhance infrastructure capabilities.
- Monitor and analyze AI infrastructure performance, identify bottlenecks, and implement solutions to ensure scalability, reliability, and cost efficiency.
- Perform other duties as assigned.
Additional responsibilities at the at the SES.4 Level
- Oversee and lead the lifecycle of AI systems architectures, including requirements gathering, capacity planning, design, development, testing, documentation, implementation, upgrades, and performance optimization.
- Serve as a mentor to and share knowledge with team members to enhance AI skills and abilities across the organization.
Qualifications
- Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship.
- Bachelor’s degree in Computer Science, Software Engineering, Management Information Systems, or a related field, or an equivalent combination of education and relevant experience.
- Significant experience in Python, R, or other programming languages commonly used in AI development, with a strong understanding of scripting for automation and operational workflows.
- Advanced experience with NLP tools and techniques for automating tasks such as ticket triage, sentiment analysis, or chatbots, with proficiency in libraries such as SpaCy, NLTK, or Hugging Face.
- Hands-on experience with at least three AI or GenAI tools and frameworks, such as OpenAI, Anthropic, Co-Pilot, Amazon Q, Hugging Face, TensorFlow, PyTorch, Bedrock, RAG solutions, or similar technologies.
- Significant experience with at least two automation tools, frameworks, or Infrastructure-as-Code (IaC) platforms, including Ansible, Terraform, Kubernetes, Puppet, Jenkins, or comparable solutions.
- Extensive experience in systems programming to develop, configure, monitor, and automate web applications, cloud services, containers, and COTS infrastructures to ensure high availability and robust security.
- Proven ability to collaborate effectively with customers, IT teams, developers, database administrators, systems administrators, and security professionals to design and deliver containerized infrastructures and services tailored to business objectives.
- Advanced verbal and written communication skills necessary for preparing and delivering presentations, articulating findings and recommendations, and influencing management decisions using data-driven insights.
Additional qualifications at the SES.4 Level
- Expert knowledge of Infrastructure-As-Code (IaC) and CI/CD workflow pipelines to help support GenAI infrastructure modernization efforts.
- Expert knowledge of APIs, microservices, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Highly advanced knowledge of IT Infrastructure, including networks, servers, cloud platforms, and IT Service Management (ITSM) tools.
- Significant hands-on experience building, managing, and scaling data lakes.
Pay Range
$175,530 - $222,564 Annually for the SES.3 level
$210,630 - $267,060 Annually for the SES.4 level
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#Ll-Hybrid
Position Information
This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).
Why Lawrence Livermore National Laboratory?
- Included in 2026 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Our values - visit https://www.llnl.gov/inclusion/our-values
Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
See All 685+ Remote Senior Infrastructure Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Senior Infrastructure Architect Job Market
Who's Hiring
- Speechify75
- CVS Health72
- Humana56
- IT Labs15I
- Akumin13
Top Industries Hiring
- Technology & Software215
- Healthcare & Medical Services159
- Insurance89
- Consulting & Professional Services48
- Biotechnology & Pharmaceuticals13
What Employers Look For
The qualifications that appear most often in remote senior infrastructure architect jobs.
- Seven or more years of enterprise infrastructure design and implementation experience
- Proficiency in at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience with infrastructure-as-code tools including Terraform, Ansible, or Pulumi
- Bachelor's degree in computer science, information systems, or a related engineering field
- Active certification such as AWS Solutions Architect Professional or Cisco CCIE
- Demonstrated ability to lead cross-functional teams through large-scale infrastructure migrations
Tips for Your Remote Senior Infrastructure Architect Job Search
Translate your stack into hiring keywords
Job postings for senior infrastructure architects filter heavily on specific tools: Terraform, Ansible, VMware, Kubernetes, and named cloud platforms. Audit your resume against the exact abbreviations and product names in each posting before you apply.
Quantify scope, not just responsibilities
Hiring managers want to know the scale you have operated at: number of nodes, uptime figures, network throughput, or team size you led. Replace duty statements with measurable outcomes so your resume anchors the reader in real operational context.
Earn certifications that remove screener doubt
AWS Solutions Architect Professional, Google Cloud Professional Cloud Architect, and Cisco CCIE are the credentials that most consistently unlock recruiter callbacks at the senior level. If yours are expired or associate-level, renewing or upgrading them before applying strengthens your candidacy noticeably.
Apply early to roles that fit
Migrate Mate lists senior infrastructure architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare architecture decision records for interviews
Senior-level interviews often include a whiteboard or written design exercise. Practicing by writing architecture decision records for past projects sharpens your ability to articulate trade-offs between cost, resilience, and performance under real interview conditions.
Negotiate scope alongside compensation
At the senior infrastructure architect level, the mandate matters as much as the salary: confirm whether you own the architecture roadmap, have budget authority, and report to engineering or IT leadership before accepting any offer, since scope defines your long-term leverage.
Remote Senior Infrastructure Architect Jobs: Frequently Asked Questions
How do I get a remote senior infrastructure architect job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote senior infrastructure architect employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote senior infrastructure architects?
Employers currently hiring remote senior infrastructure architects include Speechify, CVS Health, and Humana, per current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote senior infrastructure architect roles.
Can you get a remote senior infrastructure architect job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote senior infrastructure architect openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote senior infrastructure architect jobs?
Not always. Many employers hire remote senior infrastructure architects on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote senior infrastructure architect roles.
Which industries hire the most remote senior infrastructure architects?
Most remote senior infrastructure architect openings sit in Technology & Software, Healthcare & Medical Services, and Insurance, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire senior infrastructure architects remotely most consistently.
See All 685+ Remote Senior Infrastructure Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs