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Ai Reliability Engineer Jobs in Boston, MA (NOW HIRING)

Manifold

Staff Site Reliability Engineer

Newton, MA · On-site

$62.50 - $83/hr

Manifold is an AI platform for life sciences, focused on accelerating the delivery of life-changing medicines. They are seeking a Staff Site Reliability Engineer to design, build, and operate AWS ...

Amazon

Sr System Reliability Engineer

Reading, MA · On-site

We're building revolutionary robotic systems that combine AI, sophisticated control systems, and ... Key job responsibilities As a System Reliability Engineer you will enable development of robotic ...

Socket.dev

Sr System Reliability Engineer

North Reading, MA · On-site

$137 - $186/hr

We're rebuilding revolutionary robotic systems that combine AI, sophisticated control systems, and ... Key job responsibilities As a System Reliability Engineer you will enable development of robotic ...

Akamai

Senior Site Reliability Engineer

Cambridge, MA · On-site

$121K - $218K/yr

Our SRE teams solve reliability, security, and usability at scale for our global fleet while ... AI : Enabling our customers to build, secure, and scale AI apps on the world's most distributed ...

Akamai

Senior II Site Reliability Engineer

Cambridge, MA · On-site

$146K - $263K/yr

Join our SRE team! Our team uses large datasets to analyze and measure the performance and ... AI : Enabling our customers to build, secure, and scale AI apps on the world's most distributed ...

SS&C Technologies

Sr. Site Reliability Engineer

Waltham, MA · On-site

$61.50 - $81.75/hr

Familiar with AI tools. What Sets You Apart (preferred qualifications) * Minimum 7 years of experience in developing Software projects and/or DevOps/SRE. Join SS&C, where innovation meets global ...

SS&C

Sr. Site Reliability Engineer

Waltham, MA · Hybrid

$61.50 - $81.75/hr

Familiar with AI tools. What Sets You Apart (preferred qualifications) * Minimum 7 years of experience in developing Software projects and/or DevOps/SRE. Join SS&C, where innovation meets global ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Boston, MA

Ai Reliability Engineer information

See Boston, MA salary details

$66.3K

$128.2K

$153.2K

How much do ai reliability engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai reliability engineer in Boston, MA is $128,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $140,100.00 per year, depending on experience, location, and employer.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are popular job titles related to Ai Reliability Engineer jobs in Boston, MA?

For Ai Reliability Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Boston, MA look for?

The top searched job categories for Ai Reliability Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ai Reliability Engineer jobs?

Cities near Boston, MA with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 95% Full Time, and 3% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $128,166 per year, or $61.6 per hour.

Staff Site Reliability Engineer

Manifold

Newton, MA • On-site

$62.50 - $83/hr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Manifold is an AI platform for life sciences, focused on accelerating the delivery of life-changing medicines. They are seeking a Staff Site Reliability Engineer to design, build, and operate AWS infrastructure for their platform, ensuring it is secure, scalable, and observable.
Responsibilities:
• Design and maintain infrastructure as code solutions, thinking holistically about topology and component dependencies. You will have full responsibility for everything from Terraform plans to production observability.
• Automate customer infrastructure deployments, including multi-account provisioning, database setup, workflow orchestration, and application bootstrapping.
• Manage CI/CD pipelines, including build reliability, test stability, and deployment automation for Manifold services.
• Troubleshoot complex production issues across infrastructure, data, and application layers. Leverage LLM to the fullest extend to minimize toil and and manage date to date operations.
• Networking and security / compliance work required for highly regulated environments.
Qualifications:
Required:
• 7+ years in infrastructure, DevOps, SRE, or platform engineering roles with increasing scope and autonomy.
• Deep, hands-on cloud (AWS, GCP, or Azure) experience.
• Hands-on application development experience.
• Comfortable in troubleshooting application issues.
• Significant infrastructure-as-code (Terraform) experience.
• Strong CI/CD (Github Action) experience.
• Familiarity with identity systems (Okta, Auth0).
• Familiarity with containerized deployments (Docker, ECS, Packer).
• Familiarity with networking tooling (Tailscale, WireGuard).
• Working knowledge of data platform services, such as Snowflake, Airflow, dbt, and PostgreSQL.
• Comfort managing complex, multi-account environments where customer isolation, security boundaries, and regulatory requirements add real constraints.
• Strong bias towards pragmatic, incremental process automation.
• Track record of improving developer experience and reducing CI/CD friction.
• Ability to effectively and positively collaborate with platform engineer, professional services, and customer IT groups.
• Curiosity about new tools and resourcefulness in applying them.
• Concrete examples of how AI changed your output.
• Ability to articulate why accelerating life sciences research matters.
Company:
Manifold offers machine learning tools for analyzing operational data and supporting decision making in industrial and energy use cases. Founded in 2016, the company is headquartered in Newton, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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