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Ai Integration Engineer Jobs (NOW HIRING)

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

AI Integration Developer

Lemont, IL ยท On-site

$50.75 - $67.25/hr

AI Integration Developer Location: Hybrid at Lemont, IL (20% of the time in Lemont). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ...

AI Integration Developer

Lemont, IL ยท On-site

$50.75 - $67.25/hr

AI Integration Developer Location: Hybrid at Lemont, IL (Between 20-40% of the time in Lemont, IL). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates ...

Data & AI Integration Engineer - Mid-Level

Reston, VA ยท On-site

$119K - $143K/yr

Data & AI Integration Engineer - Mid-Level Job Locations US-VA-Reston Requisition ID 2026-166005 Position Category Information Technology Clearance Top Secret/SCI Responsibilities Peraton is seeking ...

AI Integration Developer

Lemont, IL ยท On-site +1

$50 - $80/hr

Job#: 3034845 AI Integration Developer Location: Lemont, Illinois (Hybrid) Employment Type: Contract Duration: 6+ month contract w/extension Role Overview An opportunity is available for an AI ...

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Ai Integration Engineer information

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$44.5K

$124.3K

$173.5K

How much do ai integration engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ai integration engineer in the United States is $124,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI Integration Engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What are AI Integration Engineers?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.
More about Ai Integration Engineer jobs
What cities are hiring for Ai Integration Engineer jobs? Cities with the most Ai Integration Engineer job openings:
What states have the most Ai Integration Engineer jobs? States with the most job openings for Ai Integration Engineer jobs include:
Infographic showing various Ai Integration Engineer job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $124,275 per year, or $59.7 per hour.

Artificial Intelligence Integration Engineer

Entarian

Arlington, VA โ€ข On-site

$119K - $161K/yr

Other

Posted 11 days ago


Job description

Overview/ Job Responsibilities

We are seeking a skilled Artificial Intelligence Cybersecurity Engineerย to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production.ย 

Sev1Tech is seeking an AI Integration Engineer to integrate AI models into production systems, ensuring robust performance, real-time monitoring, and secure operations. The AI Integration Engineer will bridge the gap between AI model development and production systems, integrating models into applications, APIs, and infrastructure. This role focuses on building dashboards for real-time and historical model health, detecting data drift, and managing AI logging, while ensuring secure-by-design practices and alignment with business objectives.ย 

Key Responsibilitiesย 

  • Model Integration: Integrate AI/ML models into applications (e.g., web, mobile, IoT) using APIs (REST, gRPC) and platforms like TensorFlow Serving or AWS SageMaker.ย 
  • Dashboard Development: Create real-time and historical dashboards using Grafana, Kibana, or Plotly to monitor model health (e.g., latency, accuracy) and data drift.ย 
  • Drift and Health Monitoring: Implement monitoring pipelines with tools like Evidently AI or Weights & Biases to detect data drift and model degradation, triggering alerts as needed.ย 
  • Logging and Tracing: Set up logging systems with ELK Stack, OpenTelemetry, or LangSmith to capture AI events, errors, and traces for debugging and auditing.ย 
  • Security Implementation: Apply secure-by-design principles to protect models and data from vulnerabilities (e.g., adversarial attacks, data leakage) using tools like Adversarial Robustness Toolbox (ART).ย 
  • System Optimization: Optimize model inference for performance (e.g., via quantization, edge deployment) and ensure compatibility with cloud (AWS, Azure) or on-premises infrastructure.ย 
  • Collaboration: Partner with data scientists to understand model requirements, DevOps for infrastructure alignment, and stakeholders for reporting needs.ย 
  • Testing and Validation: Perform end-to-end testing of AI integrations, including stress testing and validation of dashboard metrics.ย 
  • Compliance: Ensure integrations comply with regulations like GDPR, HIPAA, or NIST AI RMF for secure data handling.ย 
Minimum Qualifications
    • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.ย 
    • Experience:ย 
    • 4+ years in software engineering or AI integration, with experience deploying AI models in production.ย 
    • Hands-on experience with dashboarding tools (e.g., Grafana, Kibana) and observability platforms (e.g., Prometheus, Datadog).ย 
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.ย 
    • Technical Skills:ย 
    • Proficiency in Python; knowledge of JavaScript, C++, or Go is a plus for UI or system-level integration.ย 
    • Experience with containerization (Docker, Kubernetes) and API development (REST, GraphQL).ย 
    • Expertise in logging frameworks (e.g., ELK Stack, OpenTelemetry) and visualization tools (e.g., Plotly, Chart.js).ย 
    • AI-Specific Skills:ย 
    • Understanding of AI model metrics (e.g., F1 score, latency) and drift detection techniques (e.g., PSI, KS test).ย 
    • Knowledge of AI vulnerabilities (e.g., prompt injection, model inversion) and mitigation strategies (e.g., differential privacy, ART).ย 
    • Soft Skills:ย 
    • Strong problem-solving skills for debugging integration issues and optimizing dashboards.ย 
    • Excellent communication to translate technical metrics into business insights.ย 
    • Collaboration skills to work across data science, DevOps, and product teams.ย 
  • *Must be eligible to obtain a Department of Homeland Security EOD clearance ( Requirements 1. US Citizenship, 2. Favorable Background Investigation)ย 
Desired Qualifications
    • Experience with LLM-specific tools like LangSmith or Helicone for monitoring generative AI applications.ย 
    • Familiarity with compliance frameworks (e.g., NIST AI RMF, OWASP AI Security Top 10).ย 
    • Engagement with AI/ML communities, such as X platform discussions on #AISecurity or #MLOps.ย 
About Us

Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.

Join the Mission and Start your Career Journey: Apply Directly via our Careers Portalย  Connect, Referrals & Inquiries? Email the team: careers@entarian.com

Entarian is anย Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Employment Type: OTHER