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Ai Data Engineer Jobs (NOW HIRING)

AI / Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI / Data Engineer

Fort Collins, CO · On-site

$113K - $136K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI / Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI & Data Engineer (W2)

Glen Lyn, VA · Remote

$117K - $140K/yr

AI & Data Engineer Location: Remote US, light travel may be required Employment Type: Contract-to-Hire (6 Months) Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API's, Python/Java, AWS S3, CI/CD (Git ...

OR · On-site

$114K - $137K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

AI Data Engineer

Rockville, MD · On-site +1

$116K - $140K/yr

Overview Data Engineer - Veridix AI US Remote Veridix AI is the technology, data, and AI arm of the Emmes Group, a leading full-service contract research organization (CRO) with over 47 years of ...

AI Data Engineer - Manager

Columbus, OH · On-site

$110K - $132K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

AI Data Engineer - Manager

Tempe, AZ · On-site

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

AI Data Engineer Staff

Fort Worth, TX · On-site

$109K - $131K/yr

We are seeking a seniorlevel AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer - Manager

Denver, CO

$117K - $141K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

AI Data Engineer - Manager

Atlanta, GA · On-site

$110K - $132K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

AI Data Engineer - Manager

Morristown, NJ

$117K - $141K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

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Showing results 1-20

Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai data engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for ai data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What cities are hiring for Ai Data Engineer jobs? Cities with the most Ai Data Engineer job openings:
What are the most commonly searched types of Ai Data Engineer jobs? The most popular types of Ai Data Engineer jobs are:
What states have the most Ai Data Engineer jobs? States with the most job openings for Ai Data Engineer jobs include:
Infographic showing various Ai Data Engineer job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI / Data Engineer

Guidehouse

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

Guidehouse is seeking an AI Engineer to support the design, development, validation, and deployment of production-grade AI-enabled applications for DoW Federal clients. This role will translate operational workflows, mission needs, and enterprise data assets into secure, scalable, and reliable AI systems.

The AI Engineer will work closely with functional SMEs, architects, data scientists, product managers, and technical delivery teams to build AI-enabled applications, retrieval workflows, evaluation frameworks, and decision-support capabilities. This role is focused on delivering working systems, not research prototypes, and must support explainable, auditable, and operationally reliable AI outputs in regulated and mission-sensitive environments.

What You Will Do

  • Design, build, and deploy AI-enabled applications that support real operational workflows and decision-making for DoW, federal, and enterprise environments.

  • Develop application logic that integrates AI models, APIs, data pipelines, user interfaces, and enterprise systems.

  • Implement retrieval-augmented generation, semantic search, embeddings, vector databases, prompt strategies, and agent-based workflows where appropriate.

  • Integrate structured and unstructured enterprise data sources into AI-enabled applications.

  • Build orchestration workflows that connect foundation models, machine learning services, tools, APIs, and secure enterprise environments.

  • Develop evaluation frameworks to measure AI output quality, grounding, accuracy, traceability, and failure modes.

  • Implement guardrails, validation checks, fallback logic, and human-in-the-loop review points to support reliable AI behavior.

  • Support training, tuning, evaluation, and validation of AI or machine learning models using enterprise data while ensuring outputs remain defensible, explainable, and aligned to approved methodologies.

  • Develop secure APIs, backend services, dashboards, visualizations, and integration components for AI-enabled analytic tools and decision-support platforms.

  • Implement monitoring, logging, observability, model performance tracking, and cost controls for AI systems in operation.

  • Advise on model transparency, explainability, auditability, data governance, information assurance, and access controls required for secure DoW and federal deployment.

  • Collaborate with functional SMEs to translate business needs, mission requirements, workflow requirements, review expectations, and operational constraints into technical requirements.

  • Contribute reusable AI components, accelerators, reference architectures, and delivery patterns for future enterprise and federal AI implementations.

  • Support demonstrations, pilots, proofs of value, testing, deployment readiness, and user acceptance activities with internal and client stakeholders.

What You Will Need

  • US Citizenship Required

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree obtained or equivalent practical experience.

  • Experience designing, building, or deploying AI-enabled applications, analytic tools, decision-support systems, or machine learning solutions.

  • Strong software engineering fundamentals, including APIs, backend services, data pipelines, system integration, and production deployment practices.

  • Applied experience with machine learning, generative AI, large language models, retrieval-augmented generation, embeddings, vector databases, semantic search, or prompt engineering.

  • Experience deploying applications or analytic services in cloud or enterprise environments using CI/CD, version control, testing, and secure development practices.

What Would Be Nice To Have

  • Experience supporting DoW, federal, national security, or large enterprise technology modernization programs.

  • Experience developing or deploying AI-enabled applications in secure DoW or federal cloud environments.

  • Experience with AI-enabled analytics, predictive modeling, forecasting, scenario analysis, workflow automation, or decision-support platforms.

  • Experience implementing model transparency, explainability, auditability, and traceability controls for AI-generated recommendations or analytic outputs.

  • Experience designing dashboards, visualizations, or user-facing applications for complex analytical workflows.

  • Understanding of information assurance, cybersecurity, access controls, and secure deployment considerations for DoW, federal, or enterprise environments.

  • Experience with Python, FastAPI, LangChain, LlamaIndex, Azure AI, AWS, Databricks, Snowflake, vector databases, containerized deployments, or related AI engineering tools.

  • Experience contributing reusable components, accelerators, or reference architectures for enterprise AI delivery.

  • Prior experience supporting demonstrations, pilots, proofs of value, testing, deployment readiness, or user acceptance activities with DoW or federal client stakeholders.

  • Ability to move AI solutions from concept or prototype into production-ready services.

  • Understanding of evaluation approaches for AI systems, including accuracy testing, grounding, validation, failure analysis, and human review workflows.

  • Familiarity with data quality challenges, structured and unstructured data integration, and enterprise data governance.

  • Ability to communicate technical concepts clearly to functional SMEs, product owners, architects, and non-technical stakeholders.

  • Strong structured problem-solving skills and ability to design systems that are reliable, explainable, secure, and operationally usable.

  • Comfort operating in regulated, audit-sensitive, federal, or DoW environments.

Estimated Support Level

Full-time support, approximately 1.0 FTE during solution design, data integration, AI application development, evaluation, testing, deployment, and user acceptance. Support level may flex based on delivery phase, with heavier involvement during architecture, build, evaluation, and production readiness activities.

The annual salary range for this position is $106,000.00-$176,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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