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Associate Ai Engineer Jobs (NOW HIRING)

Azure AI Engineer Associate (AI-102) * Microsoft Certified: Power Platform Solution Architect / Developer Associate * AWS Certified Machine Learning - Specialty * Microsoft Copilot Studio or AI ...

Salary: $50,000 to $90,000 Associate AI Operations Customer Experience | Provo, UT | Full-Time | On ... Share product feedback with Engineering and Product teams, including reliability trends ...

Associate, AI

New York, NY · On-site

$100K - $120K/yr

We're looking for a versatile architect and engineer to join Interplay as an Associate, leading the buildout of multiple AI-powered products and solutions that support each of our business lines ...

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Share product feedback with Engineering and Product teams, including reliability trends ...

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Share product feedback with Engineering and Product teams, including reliability trends ...

AI Engineer

Pasadena, CA · On-site

$150K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Overview East West Bank is seeking an experienced Senior AI Engineering to design, build, and ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize ...

AI Engineer

$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 ...

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

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

AI Engineer

Cary, NC

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Requisition ID: 35187 At Terumo Blood and Cell Technologies, our 8,000+ global associates proud to ... AI Engineer JOB SUMMARY We are seeking a motivated AI Engineer who, working under general direction ...

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Associate Ai Engineer information

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$41.5K

$82.6K

$132K

How much do associate ai engineer jobs pay per year?

As of Jul 3, 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:
Infographic showing various Associate Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 32% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.
AI Engineer-Remote Opportunity

$120K - $199K/yr

Full-time

Posted 2 days ago


Job description

Answer Financial is an Allstate company with 25+ years in the industry and one of the nation's largest and longest running personal lines insurance agencies. We are 100% remote - work from home company.
The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company's technology ecosystem - including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments.
This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned.
The position advances the company's use of AI across all internal and external customer experiences by:
  • Building and operationalizing AI models and copilots that augment business workflows.
  • Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate.
  • Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

Essential Job Duties/Responsibilities:
A. AI / ML & Agentic AI Engineering
  • Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines.
  • Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs.
  • Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows.
  • Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions.
  • Build domain-specific AI skills and agents tailored to insurance and financial processes.

B. MLOps / Platform Engineering
  • Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML.
  • Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes.
  • Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics.
  • Integrate AI governance frameworks ensuring auditability, explainability, and data privacy compliance.

C. Collaboration and Support
  • Partner with software engineering and Power Platform teams to embed AI services into core business systems.
  • Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data.
  • Mentor junior AI engineers on cloud AI tools, Copilot integration, and MLOps best practices.

Experience:
Required
  • 2-5 years combined experience in software engineering, ML, and/or MLOps.
  • Proven success deploying AI/ML models in Microsoft or AWS environments.
  • Strong proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), and API integration.
  • Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development.
  • Experience deploying AI pipelines in AWS SageMaker or Azure ML.
  • Familiarity with LLM-based copilots, agent orchestration, and prompt engineering.

Preferred
  • Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs.
  • Knowledge of vector databases (Pinecone, FAISS) and RAG architectures.
  • Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs.
  • Background in financial or insurance domain AI use cases.

Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.

Certifications (Preferred):
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Power Platform Solution Architect / Developer Associate
  • AWS Certified Machine Learning - Specialty
  • Microsoft Copilot Studio or AI Builder training credentials

Physical Requirements:
  • Representative of those that must be met by an employee to successfully perform the essential function of the job. Must be able to operate a PC, other relevant office tools/equipment, sit for extended periods, and/or occasionally stand for extended periods, lead training classes and travel. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Compensation:
Compensation offered for this role is $120,000.00-$199,200.00 annually and is based on experience and qualifications.
***Technical Requirements for Employment:
  • Reliable high-speed internet with wired connection (Ethernet)
  • Dedicated, distraction-free home workspace (equipment provided).

Answer Financial provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas.
Answer Financial is an equal opportunity employer.