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Senior Ai Infrastructure Engineer Jobs (NOW HIRING)

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

YOUR ROLE AND IMPACT As an AI-Enabled Infrastructure and Systems Engineer, you will combine deep infrastructure expertise with modern software engineering practices to design, build, and operate the ...

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 ...

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with strong hands-on experience building, optimizing, and deploying high-performance, scalable inference ...

AI Infrastructure Engineer

New York, NY · Remote

$140K - $165K/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 ...

AI Infrastructure Engineer

San Jose, CA

$126K - $165K/yr

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with strong hands-on experience building, optimizing, and deploying high-performance, scalable inference ...

AI Infrastructure Engineer

San Jose, CA · On-site

$126K - $165K/yr

About the Position We are looking for a senior AI Inference Infrastructure Software Engineer with strong hands-on experience building, optimizing, and deploying high-performance, scalable inference ...

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 ...

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 ...

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 ...

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)

Showing results 41-60

Senior Ai Infrastructure Engineer information

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$22.5K

$127K

$175.5K

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

As of Sep 3, 2026, the average yearly pay for senior ai infrastructure engineer in the United States is $126,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What does a senior AI infrastructure engineer do?

A Senior AI Infrastructure Engineer is responsible for designing, building, and maintaining the large-scale computing systems that support artificial intelligence (AI) and machine learning (ML) workloads. They work on optimizing data pipelines, managing cloud or on-premise infrastructure, ensuring scalability, and enabling efficient training and deployment of AI models. These professionals collaborate closely with data scientists, software engineers, and IT teams to create robust, high-performance environments that support the rapid development and deployment of AI solutions.

What are the key skills and qualifications needed to thrive as a senior AI infrastructure engineer?

To thrive as a Senior AI Infrastructure Engineer, you need deep expertise in computer science, cloud computing, distributed systems, and AI/ML frameworks, often supported by a relevant degree and significant experience. Proficiency with tools such as Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms like AWS or Azure—as well as experience with CI/CD pipelines—is typically required. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills for this role. These competencies are crucial for designing scalable, reliable AI infrastructure that supports complex machine learning workflows and organizational goals.

What are some typical challenges faced by senior AI infrastructure engineers when scaling AI systems for production?

Senior AI Infrastructure Engineers often encounter challenges related to managing large-scale data pipelines, ensuring low-latency model serving, and maintaining system reliability as user demand grows. Balancing resource allocation for compute-intensive workloads, optimizing infrastructure costs, and implementing robust monitoring are common hurdles. Collaboration with data scientists, DevOps, and product teams is crucial to streamline deployment cycles and rapidly address issues as they arise. Mastery of distributed systems and cloud platforms often distinguishes top performers in this role.
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Infographic showing various Senior Ai Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $126,969 per year, or $61 per hour.

AI Infrastructure Engineer

BlackRock

New York, NY • On-site

$117K - $154K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago


BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

About this role

YOUR TEAM

Aladdin Platform Engineering powers the technology foundation behind BlackRock's Aladdin platform - a unified system that connects risk, portfolio management, trading, and operations for investors globally. We build the mission critical hosting platform that enable engineers to develop products and operators to run the platform at scale.

Our teams sit at the center of how Aladdin evolves - partnering across product, data, and engineering to deliver scalable infrastructure that support mission-critical workflows for clients worldwide. We develop AI-first engineering capabilities, using a suite of tools across the development lifecycle to improve developer productivity and reduce friction at scale.

YOUR ROLE AND IMPACT

As an AI-Enabled Infrastructure and Systems Engineer, you will combine deep infrastructure expertise with modern software engineering practices to design, build, and operate the platforms that power critical business capabilities. You will develop scalable, secure, and resilient solutions while automating their deployment, configuration, and lifecycle management through Infrastructure as Code, software development, and platform engineering principles. Your work will simplify complex operations, improve reliability, and enable teams to deliver technology faster, more consistently, and at greater scale.

You'll pair strong engineering fundamentals with an AI-driven approach to solving problems-leveraging automation, intelligent tooling, and emerging AI capabilities to reduce operational toil, accelerate delivery, and enhance the developer experience. As a technical leader, you will help shape platform strategy, influence architectural direction, mentor engineers, and drive the adoption of next-generation engineering practices that define the future of Aladdin.

YOUR RESPONSIBILITIES

  • Architect and build scalable, reliable, and secure infrastructure across multi-cloud environments (AWS, Azure, GCP) that underpins Aladdin's platform and application ecosystem

  • Design AI focused infrastructure platforms supporting model development, training, evaluation, and inference.

  • Lead automation initiatives using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation to support mission-critical workloads

  • Apply AI-assisted engineering approaches to reduce toil and enhance how software is built, tested, and operated

  • Adopt a product-centric approach, treating internal platforms and automation frameworks as products with clear ownership, lifecycle management, and continuous improvement.

  • Collaborate across global teams to solve complex technical challenges and deliver shared platform capabilities

  • Contribute to system design, architecture decisions, and technical direction for key components and services

  • Own execution and delivery of large-scale projects, balancing hands-on technical work with cross-functional collaboration across engineering, operations, and governance teams.

  • Mentor engineers and help foster a collaborative, inclusive, and high-performing engineering culture

YOU HAVE...

  • 5+ years of experience in infrastructure engineering, building and delivering production-grade systems

  • Proven experience in cloud infrastructure, platform engineering, or systems engineering roles.

  • Proficiency with Infrastructure as Codeascode tools (e.g., Terraform, ARM/Bicep, CloudFormation).

  • Strong programming or scripting skills (e.g., Python, Java, Golang, or similar).

  • Hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.

  • Familiarity with modern development practices (testing, version control, CI/CD) and scalable system design

  • Exposure to cloud-native architectures, microservices, or platform engineering concepts

  • Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and finetuning, experimentation over large datasets, and endtoend MLOps pipeline flow including data ingestion, training, validation and deployment.

  • Interest or experience in applying AI/ML tools or AI-assisted development to enhance productivity or user experience

  • Proven ability to own components end-to-end, lead technical work, and collaborate effectively across teams

  • Strong problem-solving, communication, and curiosity - with an ability to learn quickly in a complex domain

For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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