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Apprentice Generative Ai Engineer Jobs in Colorado

Sr. AI Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

New

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera-and its clients-leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping ...

AI Engineer III

Lone Tree, CO

$58.75 - $79/hr

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

Sr. AI Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

AI Engineer III

Lone Tree, CO · On-site

$58.75 - $79/hr

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

AI Engineer III

Highlands Ranch, CO · On-site

$56.50 - $76/hr

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

Sr. AI Engineer

Highlands Ranch, CO · On-site

$102K - $141K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to ...

New

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

This individual will drive innovation across autonomy, perception, analytics, and generative AI ... Guide engineering trade studies, technology selection, and system-level design decisions. AI/ML ...

New

Staff AI Engineer

Boulder, CO · On-site +1

$200K - $275K/yr

We are seeking a Staff AI Engineer to architect, build, and operationalize these systems at scale ... shipping Generative AI and LLM applications into production, 6+ years of ML experience.

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

AI Developer/Engineer

Denver, CO · On-site

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

Sr AI/ML Engineer

Longmont, CO

$103K - $141K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Experience designing and optimizing generative AI models including transformers and GANs.

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Showing results 1-20

Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Colorado? The most popular types of Generative Ai Engineer jobs in Colorado are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Colorado? For Apprentice Generative Ai Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Colorado look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Colorado are:
What cities in Colorado are hiring for Apprentice Generative Ai Engineer jobs? Cities in Colorado with the most Apprentice Generative Ai Engineer job openings:
Sr. AI Engineer

$106K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

New


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

13th of 61 rated aerospace companies


Job description

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver impactful solutions. In this role, you will oversee the design, implementation, and deployment of scalable AI/ML models for mission-critical aerospace and defense applications. You will also act as a technical leader, providing strategic guidance on AI/ML initiatives, ensuring compliance with regulatory standards, and collaborating with stakeholders to meet organizational objectives. This position demands advanced technical expertise and the ability to manage high-impact projects in a fast-paced environment.The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.

Responsibilities:

  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on theselectionof tools, frameworks, and infrastructure.

  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.

  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.

  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.

  • Mentor junior engineers,providingtechnical guidance and fostering a collaborative, innovative team environment.

  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.

  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.

  • Independently train, fine-tune, andoptimizeadvanced AI architectures (including transformers) for complex applications.

  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.

  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.

  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.

  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 10+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 12 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic). Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural networks for complex applications.
  • Extensive experience architecting, deploying, and optimizing AI/ML systems, including ANNs, CNNs, and RNNs, in large-scale or mission-critical environments. Led efforts to improve model performance and reliability in production settings.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications.
  • Active Secret US Security Clearance

Qualifications We Prefer:

  • Master's degree + additional years experience, or Ph.D. in Artificial Intelligence, Machine Learning, or a related field.
  • Experience with hardware acceleration technologies (e.g., CUDA, TensorRT) and high-performance computing systems.
  • Background in autonomous systems, robotics, or sensor fusion.
  • Familiarity with Agile/DevOps methodologies for software development.
  • Certifications in AI/ML or related fields, such as AWS Certified Machine Learning Specialty or Google Professional Machine Learning Engineer.
  • Deep understanding and practical application of Agile/DevOps in large-scale AI/ML projects.
  • Demonstrated experience with reinforcement learning and generative AI models in production or research settings.
  • Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML workloads for performance.
  • Expertise in designing and implementing complex ML pipelines, including clustering, dimensionality reduction, generative modeling, and reinforcement learning, aligned to mission objectives and HMI systems.
  • Skilled in analyzing massive, multi-source datasets and delivering end-to-end autonomy software solutions, from requirements to deployment and maintenance.
  • Working knowledge of hardware acceleration technologies (CUDA, TensorRT), edge AI deployments, and explainable AI (XAI) methods.
  • Exposure to or interest in quantum computing for ML applications.

Essential Functions:

  • Lead and manage AI/ML projects, including end-to-end development and deployment.
  • Collaborate with cross-functional teams and oversee the integration of AI/ML systems into complex aerospace platforms.
  • Travel occasionally (10-20%) to customer sites, testing facilities, or conferences to support project initiatives.
  • Work in a hybrid office environment, balancing technical leadership with hands-on development work.
  • Ensure compliance with safety, regulatory, and cybersecurity standards for AI/ML systems.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $143,487.14 - $197,294.82. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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