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Associate Ai Infrastructure Engineer Jobs (NOW HIRING)

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

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

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

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 ...

Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with ...

Staff AI Infrastructure Engineer

Redwood City, CA · On-site +1

$131K - $172K/yr

Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with ...

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Associate Ai Infrastructure Engineer information

See salary details

$41.5K

$82.6K

$132K

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

As of Jun 6, 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.

More about Associate Ai Infrastructure Engineer jobs
What cities are hiring for Associate Ai Infrastructure Engineer jobs? Cities with the most Associate Ai Infrastructure Engineer job openings:
What are the most commonly searched types of Ai Infrastructure Engineer jobs? The most popular types of Ai Infrastructure Engineer jobs are:
What states have the most Associate Ai Infrastructure Engineer jobs? States with the most job openings for Associate Ai Infrastructure Engineer jobs include:
What job categories do people searching Associate Ai Infrastructure Engineer jobs look for? The top searched job categories for Associate Ai Infrastructure Engineer jobs are:
Infographic showing various Associate Ai Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.
Vice President, AI Infrastructure Engineer

Vice President, AI Infrastructure Engineer

BlackRock, Inc.

New York, NY • On-site

$117K - $154K/yr

Full-time

Medical, Retirement

Posted 19 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
AI Infrastructure Engineer
At BlackRock, technology underpins everything we do. AI is a core strategic priority for the firm, embedded across Aladdin and our investment, client, and operational platforms. We are seeking an AI Infrastructure Engineer to help build and operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise.
This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud-native AI platforms in a highly regulated environment.
Key Responsibilities
  • Design, build, and operate AI focused-focused infrastructure platforms supporting model development, training, evaluation, and inference.

  • Engineer scalable, reliable, and secure cloud native-native services to support AI workloads across AWS, Azure, and hybrid environments.

  • Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.

  • Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.

  • Implement and maintain infrastructure-as-code and automation to ensure repeatable, auditable platform provisioning.

  • Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.

  • Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.

  • Contribute to architectural decisions and technical standards for AI platforms across Aladdin.

  • Participate in on-call rotations and operational support as required-call rotations and operational support as required for critical platforms.

  • Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock's enterprise context.

Qualifications
Required
  • Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.

  • Hands-on expertise-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.

  • Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery

  • Experience supporting LLMs, generative AI platforms, or model serving infrastructure.

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

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

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

  • Experience building and operating containerized and Kubernetes based-based platforms.

  • Solid understanding of reliability, scalability, observability, and operational best practices.

  • Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.

Preferred
  • Familiarity with GPU or accelerator-based infrastructure.

  • Experience working in financial services or other highly regulated industries.

  • Familiarity with multi-cloud architectures and enterprise governance requirements.

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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
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 the EEOC's Know Your Rights poster and its supplement and the pay 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 our privacy 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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