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Best Computer Science Jobs in Colorado (NOW HIRING)

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107.50K - $147.70K/yr

... best practices and inspire professional development Qualifications : Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ ...

Establish and document full life cycle of API management standards and best practices. Build out ... Bachelor's degree (or foreign equivalent) in Computer Science, Applied Computer Science ...

Establishes and maintains best practices for engaging with Data Engineering and IT to deploy ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

Lead AI and Data Science Engineer - Manager

Denver, CO · On-site

$105.50K - $138.90K/yr

... and discuss best design. • Gather inputs from multiple stakeholders to align technical ... Required : • Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems ...

Lead AI and Data Science Engineer - Manager

Denver, CO · On-site

$105.50K - $138.90K/yr

... and discuss best design. • Gather inputs from multiple stakeholders to align technical ... Required : • Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems ...

... Bachelor's degree in computer science, electrical engineering, automation engineering, or ... Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you ...

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Best Computer Science information

What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong foundation in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), development tools, and version control systems like Git is important, and certifications in areas like cloud computing or cybersecurity can be beneficial. Analytical thinking, creativity, and effective problem-solving and communication skills help you stand out in this role. These skills and qualities are vital for designing innovative solutions, collaborating with diverse teams, and adapting to the rapidly evolving technology landscape.

What are some common challenges computer science professionals face when working on large-scale software projects?

Computer science professionals often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring software scalability and security in large-scale projects. Effective communication and version control become crucial as multiple developers contribute to the same codebase. Additionally, prioritizing tasks, debugging intricate issues, and meeting tight deadlines require strong organizational and problem-solving skills. Regular collaboration with project managers, designers, and QA engineers is essential to deliver robust and user-friendly software solutions.

What are the best computer science jobs?

The best computer science jobs are roles that offer strong career growth, competitive salaries, and opportunities to work with cutting-edge technology. Popular positions include software developer, data scientist, artificial intelligence engineer, cybersecurity analyst, and systems architect. These jobs typically require a solid foundation in programming, problem-solving skills, and the ability to keep up with technological advancements. The specific 'best' job for an individual often depends on their interests and specialization within computer science.

Which 3 jobs will survive AI?

In computer science, roles such as software developers, cybersecurity analysts, and data scientists are expected to persist despite AI advancements. These jobs require complex problem-solving, creativity, and domain-specific expertise that AI is less likely to fully automate. Continuous learning and specialized skills in programming, security, and data analysis will remain valuable.

What is the difference between Best Computer Science vs Software Developer?

AspectBest Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, startups, freelance, corporate IT teams
Industry UsageAcademic, research, industry R&DProduct development, application programming, system design
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on building and maintaining software applications

While Best Computer Science emphasizes theoretical foundations, research, and broad technical knowledge, Software Developers focus on designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but their work environments and primary objectives differ.

What cities in Colorado are hiring for Best Computer Science jobs? Cities in Colorado with the most Best Computer Science job openings:
Infographic showing various Best Computer Science job openings in Colorado as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Denver, CO • On-site

$107.50K - $147.70K/yr

Full-time

Posted 4 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Senior AI Engineer to join their Strategy & Transactions team. In this role, you will work cross-functionally to develop robust AI infrastructure and deployment services for machine learning applications, while leveraging advanced technical skills in data architecture and engineering.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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