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Manager Azure Ai Jobs in Colorado (NOW HIRING)

Azure GenAI Architect-Denver, CO

Denver, CO · On-site

$65.25 - $85.25/hr

Required : • Azure GenAI architect (understanding of vector stores and other AI components) • Experience managing offshore teams • Ability to manage backlog and prioritize effectively • ...

... management, deployment automation, monitoring, and end-to-end validation of AI-enabled business ... Skills Integration, azure open ai, Azure AD, Azure monitor Top Skills Details Integration,azure ...

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... management, deployment automation, monitoring, and end-to-end validation of AI-enabled business ... Skills Integration, azure open ai, Azure AD, Azure monitor Top Skills Details Integration,azure ...

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... or master data management concepts. Recruitment Transparency Notice Eliassen Group values ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

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Azure Data Architect

Denver, CO · On-site

$65.25 - $85.25/hr

Partner closely with the Technical Project Manager on scope, sequencing, and risk Required Skills ... Knowledge of AI/ML integration with streaming data Experience Required * 12+ years overall ...

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has ... Manage IaaS and PaaS resource lifecycle - provisioning, scaling, monitoring, and decommission ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns. * Experience building and managing ETL/ELT pipelines with structured, semi ...

Data Engineer

Denver, CO · On-site

$90K - $150K/yr

Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns. * Experience building and managing ETL/ELT pipelines with structured, semi ...

Showing results 21-40

Manager Azure Ai information

What is the difference between Manager Azure Ai vs Data Scientist?

AspectManager Azure AiData Scientist
Required CredentialsAzure certifications, leadership experienceStatistics, programming, data analysis skills
Work EnvironmentTeam management, cloud platform oversightData analysis, model development, research
Industry UsageAI project management in cloud servicesData modeling and insights in various sectors

The Manager Azure Ai primarily oversees AI projects on the Azure platform, focusing on team coordination and cloud solutions. In contrast, Data Scientists analyze data, develop models, and generate insights. While both roles require technical knowledge, the Manager Azure Ai emphasizes leadership and cloud expertise, whereas Data Scientists focus on data analysis and modeling.

Is Manager Azure AI in demand?

Manager Azure AI roles are in high demand as organizations increasingly adopt cloud-based AI solutions and require professionals skilled in Azure services, AI development, and team management. These positions often require expertise in cloud platforms, AI tools, and certifications like Azure AI Engineer Associate, reflecting a growing need for leadership in AI projects within the cloud environment.

What jobs can I get with Manager Azure Ai certification?

With a Manager Azure AI certification, you can pursue roles such as AI project manager, cloud solutions manager, or AI team lead, focusing on deploying and managing AI solutions on Azure. These roles typically require strong knowledge of Azure services, AI development, and team coordination skills.

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

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

What cities in Colorado are hiring for Manager Azure Ai jobs?

Cities in Colorado with the most Manager Azure Ai job openings:

Infographic showing various Manager Azure Ai job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI & Data Platform Engineering Manager

Sierra Nevada Corporation

Lone Tree, CO • On-site

$189K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
  • Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration.
  • Oversee integration of ML models and AI capability into enterprise systems and business platforms.
  • Establish strong validation, verification, and compliance processes.
  • Manage resourcing, budgeting, schedules, and risk mitigation.
  • Mentor senior engineers and technical leads.
  • Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field.
  • 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.
  • Experience architecting and optimizing ML pipelines and highperformance systems.
  • Strong understanding of security, compliance, and data governance requirements (CMMC, data classification)
  • Ability to drive cross-functional execution across software, data, and business platform teams.
  • AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform.
  • CMMC/NIST SP 800171 awareness or equivalent compliance training.

Qualifications We Prefer:

  • Degree in AI/ML, data science, engineering, or related discipline.
  • AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert.
  • Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications.
  • Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI)
  • Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling.
  • Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform

Essential Functions:

  • Lead multi-team engineering operations in a hybrid environment.
  • Participate in integration events, customer reviews, and working groups.
  • Travel up to 20% for program execution and external coordination.
  • Provide technical escalation support for complex ML challenges.

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: $189,761.74 - $260,922.39. 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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