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Nextgen Application Analyst Jobs (NOW HIRING)

Senior Systems Engineer

Dayton, OH · On-site

$101K - $139K/yr

NextGen's practice in Digital Engineering (DE) is growing. As such, we are seeking to hire Systems ... analysis tools. Responsibilities · Work on a cross-functional team to develop cutting edge ...

Required Skills/Experience Programmer Analyst/Support Analyst experience working with Highline Personality/ePersonality (eP)/NextGen HRIS & Payroll application both frontend and backend. Experience ...

... application management, support models, and system lifecycle practices. Business process analysis ... NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to ...

JPC Partners is looking for an Analyst. This is a HYBRID position with routine presence required at ... Application, Queue Point and NextGen. * Maintains an exceptional level of customer focus, ability ...

... code analysis, debugging, test generation, documentation, refactoring, and agent-assisted development. Key Responsibilities * Maintain, troubleshoot, and improve the NextGen Classic application ...

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Nextgen Application Analyst information

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$35K

$83.6K

$139K

How much do nextgen application analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for nextgen application analyst in the United States is $83,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a Nextgen application analyst?

A Nextgen Application Analyst is a professional who specializes in managing, supporting, and optimizing the NextGen Healthcare EHR (Electronic Health Record) system for healthcare organizations. Their responsibilities include configuring the application, troubleshooting issues, providing user support, and ensuring the system meets clinical and regulatory requirements. They often collaborate with clinical staff, IT teams, and vendors to implement updates, maintain data integrity, and improve workflows. This role is crucial for ensuring that healthcare providers can use the NextGen system efficiently and effectively to deliver quality patient care.

What are the key skills and qualifications needed to thrive as a nextgen application analyst?

To thrive as a Nextgen Application Analyst, you need a solid background in healthcare information systems, knowledge of EHR workflows, and experience with Nextgen software, often supported by a degree in information technology or healthcare informatics. Familiarity with Nextgen EHR/PM, SQL databases, and relevant certifications such as Nextgen Certified Professional are highly beneficial. Strong analytical skills, attention to detail, and effective communication are essential soft skills for troubleshooting issues and collaborating with clinical staff. These competencies ensure the efficient optimization, support, and integration of Nextgen applications, leading to improved clinical workflows and patient care.

What are some common challenges faced by nextgen application analysts when supporting clinical staff, and how can these be managed?

Nextgen Application Analysts often encounter challenges such as balancing urgent support requests from clinical staff while managing ongoing system updates and optimizations. Navigating complex workflows and ensuring seamless integration with other healthcare technologies can also present difficulties. To manage these challenges, strong communication skills, thorough documentation practices, and ongoing user training are essential. Collaborating closely with IT, clinicians, and administrative teams helps address issues quickly and ensures that solutions are aligned with organizational needs.

What is the difference between Nextgen Application Analyst vs Epic Application Analyst?

AspectNextgen Application AnalystEpic Application Analyst
CertificationsNextgen certifications, EHR trainingEpic certifications, EHR training
Work EnvironmentHealthcare IT, outpatient and hospital settingsHealthcare IT, hospital systems
Industry UsageUsed in healthcare facilities implementing Nextgen EHRUsed in hospitals with Epic EHR systems
Job FocusImplementing and supporting Nextgen EHR applicationsImplementing and supporting Epic EHR applications

The main difference between a Nextgen Application Analyst and an Epic Application Analyst lies in the specific EHR systems they support. Nextgen analysts focus on Nextgen EHR solutions, while Epic analysts specialize in Epic systems. Both roles require similar certifications and work in healthcare IT environments, but their expertise is tailored to different electronic health record platforms.

How much do Nextgen Application Analysts make in the US?

Nextgen Application Analysts in the US typically earn a median annual salary of around $70,000 to $90,000, depending on experience, location, and certifications. Salaries can vary based on the complexity of the systems managed and the healthcare or IT environment they work in.

What are popular job titles related to Nextgen Application Analyst jobs?

For Nextgen Application Analyst jobs, the most frequently searched job titles are:

Infographic showing various Nextgen Application Analyst job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $83,617 per year, or $40.2 per hour.

Application / Agentic AI Engineer

Aberdeen, MD

NextGen Federal Systems
IT Services • 11 - 50 employees

Full-time

Re-posted 20 days ago


Key responsibilities

  • Partner with stakeholders to translate mission workflows into agentic AI solutions, including designing and configuring AI agents and tools.

  • Develop, maintain, and evaluate AI agents, workflows, and testing suites to ensure performance, safety, and reliability.

  • Integrate AI agents and workflows into operational environments, support deployment and troubleshooting, and collaborate with cross-functional teams.


Job description

NextGen is seeking a highly motivated and technically skilled Application/Agentic AI Engineer to support the integration, and deployment of modern AI-enabled applications and agentic AI capabilities in support of mission objectives using ReadiChat.

 

ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.

The selected candidate will work across software engineering, AI/ML integration, workflow orchestration, and operational problem-solving to develop intelligent systems that improve decision-making, automation, and user interaction in complex environments.  This role requires a blend of software engineering expertise, AI integration experience, systems thinking, and the ability to collaborate directly with operational users, engineers, and program stakeholders to translate mission requirements into scalable AI-enabled solutions.

Responsibilities
  • Partner with customer SMEs and operational stakeholders to translate mission workflows and operational requirements into agentic AI solutions, including intelligent agents, workflow specialists, guardrails, tools, and validation frameworks.
  • Design, develop, and maintain agent definitions and configurations, including objectives, behavioral instructions, input/output contracts, safety policies, operational constraints, and tool utilization rules.
  • Develop workflow-specific AI specialists and reusable agent patterns to support operational and enterprise use cases while maintaining clear functional boundaries and scalable architectures.
  • Build and maintain comprehensive AI testing and evaluation suites, including gold-standard input/output validation, adversarial testing, guardrail validation, scope-boundary testing, tool-use validation, regression testing, and multi-turn conversational testing.
  • Analyze failed, degraded, or stale agent test results to identify performance gaps, tune agent behavior, improve reliability, and document updates across agent versions and releases.
  • Integrate AI agents, orchestration workflows, APIs, and supporting services into existing application and operational environments using modern software engineering and DevSecOps practices.
  • Support the deployment, sustainment, troubleshooting, and optimization of AI-enabled applications and agentic workflows across cloud, edge, and hybrid environments.
  • Train and mentor customer agent creators on Agent Builder workflows, publishing processes, testing methodologies, maintenance procedures, and operational best practices.
  • Develop reusable templates, workflow examples, implementation guides, and best-practice documentation to enable scalable and consistent customer development of agentic AI solutions.
  • Collaborate with cross-functional engineering, operations, cybersecurity, and product teams to ensure AI-enabled capabilities align with mission objectives, security requirements, and operational constraints.
  • Contribute to continuous improvement efforts for AI-enabled applications, orchestration frameworks, testing methodologies, and software delivery pipelines. 
Required Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or related technical discipline.
  • 3+ years of experience in software engineering, application development, or AI/ML integration.
  • Experience developing applications using Python, JavaScript, TypeScript, Java, or similar modern programming languages.
  • Experience integrating APIs, microservices, and data services into enterprise or operational applications.
  • Familiarity with Large Language Models (LLMs), prompt engineering, AI orchestration frameworks, or agentic AI concepts.
  • Experience with cloud-native technologies and containerized environments such as Docker and Kubernetes.
  • Understanding software development lifecycle (SDLC), DevSecOps, and CI/CD methodologies.
  • Experience with Git-based version control and collaborative development workflows.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Active Security Clearance is required
Desired Qualifications
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
  • Familiarity with AI model deployment, inference optimization, and scalable AI architecture.
  • Experience supporting government, defense, intelligence, or mission-focused environments.
  • Experience with AWS, Azure, or Google Cloud AI services.
  • Familiarity with cybersecurity best practices and secure software development.
  • Experience developing operational workflows using AI agents, automation pipelines, or decision-support systems.

About NextGen:

NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:

  • Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.
  • Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.
  • Openly promote and communicate our ideas for change and adaptability.
  • Strive to achieve results as an organization.
  • Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.
  • Value the talents and contributions of our employees as the key factor for our success.
  • Create an environment where people can engage at all levels.
  • Encourage people to take risks and allow them to make mistakes.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

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