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Associate Ai Engineer Jobs (NOW HIRING)

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

KPMG

Senior Associate, AI Engineer

Boston, MA · On-site +1

$87K - $188K/yr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

KPMG

Senior Associate, AI Engineer

Los Angeles, CA · On-site +1

$87K - $188K/yr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$87K - $188K/yr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

Cargill

Associate AI Engineer (Atlanta)

Atlanta, GA · On-site

$57K - $97K/yr

Come build the AI platform that engineers across Cargill will use every day-shipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, you're not optimizing ...

Cargill

Associate AI Engineer (Atlanta)

Atlanta, GA

$57K - $97K/yr

Come build the AI platform that engineers across Cargill will use every dayshipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, youre not optimizing vanity ...

Cargill

Associate AI Engineer (Atlanta)

Atlanta, GA · On-site

$57K - $97K/yr

Come build the AI platform that engineers across Cargill will use every day-shipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill, you're not optimizing ...

Guru Schools

AI Engineer

Washington, DC · On-site

Azure AI Engineer Associate * Google Machine Learning Engineer * SAFe Agile Software Engineer (ASE) * Certification in AI Ethics 4. Objectives of the Assignment * Develop and implement AI models and ...

Cyclotron, Inc.

AI Engineer

Chicago, IL · On-site +1

$100K - $140K/yr

Microsoft certifications such as Azure AI Engineer Associate are highly preferred. * Clear and effective verbal and written communication for both technical and non-technical audiences * Confident ...

Cyclotron, Inc.

AI Engineer

Chicago, IL · Remote

$100K - $140K/yr

Microsoft certifications such as Azure AI Engineer Associate are highly preferred. * Clear and effective verbal and written communication for both technical and non-technical audiences * Confident ...

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Associate Ai Engineer information

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$82.6K

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How much do associate ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for associate ai 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 does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

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

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

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

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.
More about Associate Ai Engineer jobs
What cities are hiring for Associate Ai Engineer jobs? Cities with the most Associate Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Associate Ai Engineer jobs? States with the most job openings for Associate Ai Engineer jobs include:
Associate Ai Engineer jobs near you
Infographic showing various Associate Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

Associate AI Engineer - Mission Innovation Lab

Carnegie Mellon University

Pittsburgh, PA

Other

Posted 4 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

51st of 535 rated colleges and universities

Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems
  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities
  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview
As an associate AI Engineer who thrives at the intersection of deep-learning research and production-grade software development, you will translate cutting-edge AI concepts into robust, mission-scale solutions for the warfighting community. You will work comfortably with large-scale foundation models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements, iterate on experimental designs, and deliver secure, reliable AI capabilities that meet stringent mission requirements.
The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the "recently possible" in AI into reliable mission and warfighting capabilities.
Key Responsibilities
  • Design, develop, and fine-tune a variety of AI models.
  • Design autonomous agents and multi-step pipelines using LangChain, ReAct, tool-calling, or custom orchestration; employ the Model Context protocol to manage stateful interactions.
  • Build Retrieval-Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications.
  • Implement end-to-end data pipelines, ETL processes, and back-end services (Python, C/C++, Java) that feed data to models.
  • Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning; maintain model registries, monitoring, and version control of context protocols.
  • Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments.
  • Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation.
  • Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI-safety techniques; translate new research into operational capabilities.

Required Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field with at least three (3) years of relevant experience, or a MS degree in the same with at least one (1) year of relevant experience.
  • You will be subject to a background investigation and must be able to obtain and maintain an active Department of War (DoW) security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
  • Proficiency in Python and at least one compiled language (C/C++ or Java); experience with REST/GraphQL APIs and containerization.
  • Strong grasp of ML theory (supervised, unsupervised, reinforcement learning) and evaluation metrics.
  • Hands-on experience fine-tuning LLMs and using frameworks such as Hugging Face Transformers, LangChain, or comparable agent tools.
  • Familiarity with building RAG pipelines (vector stores, dense/sparse retrievers).
  • Experience applying PEFT/LoRA methods (e.g., LoRA, adapters) to large models.
  • Understanding of Model Context protocols for managing model state across multi-turn interactions.
  • Experience building evaluation frameworks, benchmarks, or data quality pipelines
  • Experience with TensorFlow, PyTorch, or JAX; knowledge of data-pipeline tools (Airflow, Prefect, Ray) is a plus.
  • Awareness of DevSecOps practices (CI/CD, GitOps, container security scanning, model-registry concepts) is desirable.

Desired Experience
  • Deploying LLM APIs (FastAPI, gRPC) at scale, handling latency and load balancing.
  • Building multi-tool agents, planner-executor loops, or tool-calling pipelines for complex decision-making.
  • Conducting adversarial testing, implementing input sanitization, and contributing to AI-safety research.
  • Utilizing GPU/TPU resources, mixed-precision training, and distributed training frameworks such as DeepSpeed or ZeRO.
  • Prior work on defense, intelligence, or government-focused AI projects and familiarity with DoW acquisition or compliance processes.
  • Contributing to open-source AI and ML libraries, agentic frameworks, or context-protocol implementations.

Knowledge, Skills, & Abilities
  • Analytical thinking: decompose complex AI problems into tractable components and iterate rapidly.
  • Strong written and verbal communication skills for documenting designs and presenting results to technical and non-technical stakeholders.
  • Proven teamwork: collaborate in interdisciplinary groups, mentor peers, and contribute to shared codebases.
  • High curiosity and autonomy: proactively explore emerging technologies and integrate them into mission work.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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