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Level Ai Jobs in Colorado (NOW HIRING)

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Deep understanding of enterprise-level AI governance and model lifecycle management * Familiarity with cloud-based enterprise platforms (AWS, Databricks), Big Data tools * Familiarity with emerging ...

AI & Automation Engineer

Denver, CO · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

General Information

Denver, CO · On-site

$120K - $145K/yr

Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across ...

Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across ...

Our AI Engineer role sits at the center of that work: building, operating, and scaling the AI ... Level and corresponding compensation are determined during the interview process based on ...

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Showing results 1-20

Level Ai information

See Colorado salary details

$11.6K

$91.1K

$118.8K

How much do level ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for level ai in Colorado is $91,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $113,000.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

What are popular job titles related to Level Ai jobs in Colorado?

For Level Ai jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Level Ai jobs?

Cities in Colorado with the most Level Ai job openings:

Infographic showing various Level Ai job openings in Colorado as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $91,131 per year, or $43.8 per hour.

Principal AI/ML Engineer with Security Clearance

ClearanceJobs Workforce Solutions

Centennial, CO • On-site

Contractor

Re-posted 28 days ago


Job description

Duties: Location Englewood, Colorado Hybrid opportunity Will need to be able to obtain a clearance This is a Contract opportunity In this role, you will help shape the long-term AI/ML technical vision for the organization, guide high-impact R&D initiatives, and lead the development of advanced autonomy, perception, analytics, and generative AI capabilities.
You will be responsible for setting technical direction across multiple simultaneous efforts, defining architectural standards, and ensuring that JTF Sierra’s prototypes and initiatives represent industry-leading innovation.
This role requires exceptional technical depth, the ability to operate with extreme autonomy, and the leadership presence to influence engineering culture, collaborate with program leadership, mentor staff, and represent the team to senior executives, customers, and external partners.
Role Expectations Specific to This Team • Translate broad mission objectives into program-level AI/ML architectures, strategies, staffing needs, data plans, and technical frameworks
• Drive system-level AI/ML decision-making, establishing technical standards and guiding engineering trade studies that shape platform-level autonomy and perception capabilities
• Identify and champion high-value R&D opportunities, emerging technologies, and cross-organizational partnerships that accelerate SNC’s AI/ML advancements
• Provide deep technical consultation across JTF Sierra and adjacent Business Units product lines, ensuring architectural coherence and technical excellence
• Ensure AI/ML solutions are architected for scalability and integration with enterprise-wide platforms, collaborating with IT and infrastructure teams to define and implement the necessary tools. Data pipeline, and computing resources for sustainable AI/ML operations across the organization.
• Balance program-specific AI/ML solution development with strategic focus on establishing reusable frameworks, common data assets, and infrastructure that support cross-program and enterprise-wide AI/ML adoption
Skills: • Lead design and technical direction for next-generation architectures spanning deep learning, reinforcement learning, multimodal generative AI, and advanced perception/decision systems
• Architect and oversee end-to-end multi-program AI/ML systems across platforms and embedded systems
• Assist with development of long-term technical strategies, roadmaps, and requirements for emerging AI/ML initiatives
• Identify, define, and advocate for the foundational data, compute, MLOps, and cloud/on-prem infrastructure necessary to support sustainable and secure AI/ML development and deployment across JTF Sierra and related business units.
• Establish and promote best practices for the full AI/ML lifecycle—including data management, model versioning, CI/CD for ML, monitoring, and continuous improvement—to ensure reliable deployment and operation of AI/ML models in production.
• Oversee multiple development streams, providing technical reviews, risk assessments, and mitigations plans
• Shape system-level behavior and engineering tradeoffs when requirements are ambiguous
• Lead development of simulations, sensor fusion models, vision models, and planning/decision algorithms
• Represent JTF Sierra to leadership, customers, and partners (assist in developing and presenting briefings, demos, high-level technical presentations, etc)
• Establish adaptive, agile AI/ML validation, verification, and safety frameworks for proof-of-concept level mission-critical systems
• Evaluate and introduce emerging technologies (examples: transformers, RLHF, edge AI, XAI, GPU acceleration)
• Partner with Program Manager and Project Engineer to define staffing, data, schedules, and resources required to execute JTF Sierra technical initiatives
• Coach and develop engineering talent, raising JTF Sierra’s overall AI/ML capabilities
Education: • Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related STEM field
• 14+ years of experience in AI/ML or related fields, or 16+ years without a degree
• Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture
• Proven experience architecting and deploying mission-critical and/or large-scale AI/ML systems
• Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine Learning systems
• Experience providing technical leadership across teams, projects, or programs
• Ability to define technical strategies, influence senior stakeholders, and make organization-level architecture decisions
• In-depth experience with aerospace/defense-relevant regulatory and cybersecurity considerations
• Demonstrated ability to mentor and grow engineering talent within an organization
Qualifications We Prefer
• Advanced degree (MS or PhD) in AI/ML or related field
• Experience applying AI/ML to autonomy, multimodal sensor fusion, or embedded/real-time platforms
• Experience establishing or scaling ML engineering standard (MLOps, validation frameworks, data management)
• Expertise with GPU acceleration, CUDA/TensorRT, or parallel computing
• Publications, patents, or thought leadership in AI/ML
• Familiarity with edge AI, explainable AI (XAI), or emerging/advanced ML topics
• Experience translating high-level mission objectives into complex AI/ML system architectures (HMI scenarios, autonomy stacks)