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Remote Aircraft Certification Engineer Jobs in Colorado

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Remote Aircraft Certification Engineer information

What is a remote aircraft certification engineer?

A Remote Aircraft Certification Engineer is a specialized professional who works, often from a remote location, to ensure that aircraft and their components meet all necessary regulatory and safety standards for certification. They are responsible for reviewing designs, testing procedures, and documentation to confirm compliance with aviation authorities, such as the FAA or EASA. These engineers collaborate with manufacturers, regulatory bodies, and other stakeholders to guide aircraft through the certification process, often using digital tools and remote communication. Their work is critical in ensuring the safety and airworthiness of new and modified aircraft.

What are the key skills and qualifications needed to thrive as a remote aircraft certification engineer, and why are they important?

To thrive as a Remote Aircraft Certification Engineer, you need a solid background in aerospace engineering, regulatory compliance knowledge (such as FAA or EASA standards), and typically a relevant engineering degree. Familiarity with certification management tools, CAD software, and document management systems is crucial, along with certifications like DER or similar credentials. Strong attention to detail, analytical thinking, and effective communication skills set top performers apart in this field. These skills are vital to ensure aircraft safety, regulatory compliance, and successful collaboration across remote teams and regulatory bodies.

How does a remote aircraft certification engineer typically collaborate with regulatory authorities and internal teams during the certification process?

As a Remote Aircraft Certification Engineer, collaboration with regulatory authorities—such as the FAA or EASA—and internal engineering teams is primarily conducted through virtual meetings, detailed documentation exchanges, and regular progress updates. You’ll coordinate test plans, compliance reports, and design data, ensuring all communication is clear and timely despite not being physically present. Strong digital communication skills and the ability to proactively address questions or concerns are essential, as you often serve as the main liaison between your company and certifying bodies. This remote setup can pose challenges in building rapport, but it also offers flexibility and the opportunity to work with diverse, geographically dispersed teams.

What is the difference between Remote Aircraft Certification Engineer vs Remote Aerospace Systems Engineer?

AspectRemote Aircraft Certification EngineerRemote Aerospace Systems Engineer
Required CredentialsEngineering degree, FAA/EASA certifications, type ratingsEngineering degree, systems engineering certifications, project management skills
Work EnvironmentRegulatory agencies, certification bodies, aerospace manufacturersDesign teams, systems integration, testing facilities
Industry UsageAircraft certification, safety compliance, regulatory approvalSystem design, integration, performance analysis

The Remote Aircraft Certification Engineer primarily focuses on obtaining regulatory approval and ensuring aircraft meet safety standards, often working closely with certification authorities. In contrast, the Remote Aerospace Systems Engineer concentrates on designing and integrating aerospace systems, emphasizing technical development and performance. Both roles require engineering expertise but differ in their core responsibilities and work environments.

What job categories do people searching Remote Aircraft Certification Engineer jobs in Colorado look for?

The top searched job categories for Remote Aircraft Certification Engineer jobs in Colorado are:

What cities in Colorado are hiring for Remote Aircraft Certification Engineer jobs?

Cities in Colorado with the most Remote Aircraft Certification Engineer job openings:

Infographic showing various Remote Aircraft Certification Engineer job openings in Colorado as of August 2026, with employment types broken down into 5% As Needed, 80% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution.

AI/ML Engineer - Agentic AI (Remote)

Cognizant Technology Solutions

Englewood, CO • On-site, Remote

$113K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

AI/ML Engineer - Agentic AI (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070289402
About the Role
As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications.
In this role, you will:
  • Build AI solutions using LLMs, agents, and RAG frameworks.
  • Design scalable AI architectures with workflow orchestration, memory, and state management.
  • Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.
  • Integrate enterprise data sources and develop intelligent AI workflows.
  • Deploy and manage AI applications using LLMOps/MLOps best practices.

Work Model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered
  • 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.
  • Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
  • Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
  • Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
  • Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
  • Knowledge of scalable architecture, workflow orchestration, and AI governance.
  • Experience deploying production AI solutions using MLOps/LLMOps practices.

These Will Help You Stand Out
  • Experience with multi-agent systems and advanced orchestration frameworks.
  • Cloud expertise in Azure, AWS, or Google Cloud.
  • Knowledge of AI security, compliance, and responsible AI practices.
  • Experience in regulated industries such as healthcare, insurance, or banking.
  • Relevant AI, ML, or cloud certifications.

Salary and Other Compensation:
Applicants will be accepted till 9/18/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $113,000 - $130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
Apply Now!
#LI-IK1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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