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Ai Systems Engineer Jobs (NOW HIRING)

Tria Federal

AI Systems Engineer

The Senior AI Systems Engineer will operate in a fast paced innovation environment, rapidly developing and validating proof of concepts for advanced AI and machine learning use cases. The role ...

System One

AI Systems Engineer

Tulsa, OK · On-site

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a.m. to 4:00 p.m., Monday through Friday Security Clearance: Not specified Overview System One is ...

System One

AI Systems Engineer

Tulsa, OK · On-site

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a.m. to 4:00 p.m., Monday through Friday Security Clearance: Not specified Overview System One is ...

System One

AI Systems Engineer

Tulsa, OK · On-site

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a.m. to 4:00 p.m., Monday through Friday Security Clearance: Not specified Overview System One is ...

University of Michigan

AI Systems Engineer

Ann Arbor, MI · On-site

We are seeking a full-time AI Systems Engineer to design, build, and maintain the systems and integrations that power AI-driven research and clinical tools across Michigan Medicine. This role sits at ...

System One

AI Systems Engineer

Tulsa, OK · On-site

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a.m. to 4:00 p.m., Monday through Friday Security Clearance: Not specified Overview System One is ...

System One

AI Systems Engineer

Tulsa, OK · On-site

AI Systems Engineer Location: Tulsa, OK Type: Direct Hire Work Model: Onsite - onsite Hours: 7:00 a.m. to 4:00 p.m., Monday through Friday Security Clearance: Not specified Overview System One is ...

WebMD

AI Systems Engineer

El Segundo, CA · Hybrid

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and ...

WebMD

AI Systems Engineer

Yardley, PA · On-site

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and ...

WebMD

AI Systems Engineer

Newark, NJ · Hybrid

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and ...

KBR, Inc.

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

AI Systems Engineer KBR is seeking a visionary AI Systems Engineer to join our team, providing critical technical services to the U.S. Government (USG). This role supports a dedicated USG Program ...

Anduril Industries

AI Systems Engineer

Santa Ana, CA · On-site

Role Specifics As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated ...

KBR

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

AI Systems Engineer KBR is seeking a visionary AI Systems Engineer to join our team, providing critical technical services to the U.S. Government (USG). This role supports a dedicated USG Program ...

WebMD

AI Systems Engineer

Yardley, PA · Hybrid

Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and ...

RXinsider LTD.

AI Systems Engineer

Bolingbrook, IL · On-site

$125 - $150/hr

AI Systems Engineer Founded in 1994, Integrated Medical Systems, Inc. (IMS) is one of the nation's leading distributors serving the alternate-site healthcare market. We build valued partnerships with ...

Tria Federal

AI Systems Engineer

The Senior AI Systems Engineer will operate in a fast paced innovation environment, rapidly developing and validating proof of concepts for advanced AI and machine learning use cases. The role ...

RXinsider LTD.

$125 - $150/hr

AI Systems Engineer Founded in 1994, Integrated Medical Systems, Inc. (IMS) is one of the nation's leading distributors serving the alternate-site healthcare market. We build valued partnerships with ...

Anduril Industries

AI Systems Engineer

Santa Ana, CA · On-site

$191K - $253K/yr

It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise ...

SAIC

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

As an AI/ML Systems Engineer, you will play a pivotal role in shaping the customer's AI/ML strategy within a key ground segment. You will help drive innovation, guide technical direction, and ensure ...

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Ai Systems Engineer information

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$53.5K

$127.2K

$167K

How much do ai systems engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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

AspectAi Systems EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDeveloping AI systems, integrating AI solutions, working with software and hardwareAnalyzing data, building models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles involve AI and machine learning, Ai Systems Engineers focus on designing and implementing AI systems and infrastructure, whereas Data Scientists primarily analyze data and develop models to extract insights. The roles often overlap but differ in their core responsibilities and work environments.

How much does an AI systems engineer make?

An AI systems engineer's salary varies based on experience, location, and industry, but typically ranges from $90,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and cloud platforms can earn higher compensation, often exceeding $180,000 per year.

What does an AI systems engineer do?

An AI systems engineer designs, develops, and maintains artificial intelligence systems and infrastructure. They work with machine learning models, data pipelines, and software tools to implement AI solutions, often requiring knowledge of programming languages, cloud platforms, and AI frameworks. Their role involves integrating AI components into larger systems and ensuring performance and scalability.

What cities are hiring for Ai Systems Engineer jobs?

Cities with the most Ai Systems Engineer job openings:

What states have the most Ai Systems Engineer jobs?

States with the most job openings for Ai Systems Engineer jobs include:

What are popular job titles related to Ai Systems Engineer jobs?

For Ai Systems Engineer jobs, the most frequently searched job titles are:

Infographic showing various Ai Systems Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

AI Systems Engineer

Remote

Tria Federal
IT Services • 501 - 1,000 employees
Learn more about Tria Federalexternal

Full-time

Re-posted 9 days ago

Job description

Job Description:

We are looking for a highly skilled AI Systems Engineer who will be part of a collaborative and agile team that supports and builds modern, usable, and responsive applications for mission-critical U.S. federal government health IT solutions. The Senior AI Systems Engineer will operate in a fast paced innovation environment, rapidly developing and validating proof of concepts for advanced AI and machine learning use cases. The role centers on experimenting with cutting edge analytics tools, integrating them into a cloud based analytics ecosystem, and helping move successful concepts toward operational deployment. Responsibilities include hands on data exploration, prototyping, workflow automation, and contributing to secure, well governed MLOps practices. The Software Engineer will work closely with engineering and product teams to evaluate emerging tools, build technical demonstrations, document integrations, and communicate platform updates in a highly collaborative setting. data platform fluency, and agility to support cross-functional teams.

Mandatory Requirements:
    5+ years of relevant software / systems engineering experience
    Software engineering background with deep experience building production grade applications and services.
   Expertise developing agentic AI systems, including planning, tool use, multi step reasoning, workflow execution, or autonomous decisioning logic.
   Hands on experience designing and implementing MCP based integrations, tool interfaces, or model driven service frameworks.
   Ability to translate ambiguous business or mission requirements into scalable AI-driven solutions, balancing technical feasibility with real-world impact.
   Proficiency with LLM development practices including fine tuning, RAG integration, prompt engineering, and interaction models for agent workflows.
   Strong Python development skills and familiarity with distributed compute environments, APIs, microservices, and cloud native architectures.
   Experience integrating agents or LLM driven components into cloud platforms (Azure, AWS, GCP) or large scale data ecosystems.
   Understanding of LLMOps/MLOps principles including versioning, testing, deployment automation, monitoring, and governance for agentic systems.
   Demonstrated ability to lead solution design, mentor developers, and communicate complex AI architectures to technical and non technical stakeholders.
   Experience with version control and modern CI/CD practices (e.g., Git/GitHub), including automated testing, deployment pipelines, and release management for production systems. 
   Ability to obtain/maintain a Public Trust clearance.

Preferred Requirements:
   Experience building or contributing to multi agent systems or coordinated agent workflows.
   Familiarity with frameworks such as LangChain, LlamaIndex, Strands Agents, LangGraph, CrewAI.
   Knowledge of evaluating agent performance, implementing guardrails, or designing safe action execution patterns.
   Hands on work with vector databases, embedding models, or advanced retrieval techniques.
   Experience integrating agentic components into large scale analytics or data platforms (e.g., Databricks, Snowflake).
   Background in data exploration or data modeling to support agent driven decision processes.
   Experience building AI focused prototypes or experimenting with emerging agentic patterns in rapid iteration environments.
   Familiarity with optimization techniques such as model routing, response validation layers, or inference acceleration.
   Familiarity with systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows.

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