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Automation Engineering Manager Jobs in Colorado (NOW HIRING)

... wealth management domain. You will work on integrating large language model solutions into ... Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of ...

YOUR MISSION As Test Engineering Manager, you will lead teams test engineers at our Colorado ... Champion efficiency and automation initiatives to reduce cycle time, improve first-time test ...

Test Engineering Manager

Denver, CO · On-site

$135K - $225K/yr

YOUR MISSION As Test Engineering Manager, you will lead teams test engineers at our Colorado ... Champion efficiency and automation initiatives to reduce cycle time, improve first-time test ...

AI & Automation Engineer

Denver, CO · On-site

$90K - $120K/yr

... wealth management domain. You will work on integrating large language model solutions into ... Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of ...

This includes near-term work on scaling data quality and automation systems to handle rapid growth ... engineering manager, with a track record of building and developing high-performing teams * 8+ ...

This includes near-term work on scaling data quality and automation systems to handle rapid growth ... engineering manager, with a track record of building and developing high-performing teams * 8+ ...

DR Kharon is seeking a full-time Senior Engineering Manager based in Denver. This role requires in ... A strong focus on software architecture, system reliability and automation--including robust ...

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Showing results 1-20

Automation Engineering Manager information

See Colorado salary details

$94.6K

$145.2K

$182.4K

How much do automation engineering manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for automation engineering manager in Colorado is $145,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $168,200.00 per year, depending on experience, location, and employer.

What does an Automation Engineering Manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive in the Automation Engineering Manager position, and why are they important?

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by Automation Engineering Managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

What are popular job titles related to Automation Engineering Manager jobs in Colorado? For Automation Engineering Manager jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Automation Engineering Manager jobs? Cities in Colorado with the most Automation Engineering Manager job openings:
Infographic showing various Automation Engineering Manager job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $145,165 per year, or $69.8 per hour.
Senior AI Automation Engineer

Senior AI Automation Engineer

All Copy Products

Denver, CO • On-site

$130K - $165K/yr

Full-time

Posted 12 days ago


All Copy Products rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

256th of 367 rated retail wholesalers


Job description

Senior AI & Automation Solutions Engineer
All Copy Products | Denver, Colorado | Full-Time Hybrid
Base salary range: $130,000-$165,000, plus benefits and any applicable bonus or incentive eligibility
Position Summary
All Copy Products is seeking a Senior AI & Automation Solutions Engineer to help design, build, test, and operationalize AI and automation solutions across our internal operations and emerging client services. This role blends hands-on engineering, workflow analysis, platform architecture, and technical consulting.
The ideal candidate is a senior individual contributor who can move comfortably from documenting a business process, to designing an automation pattern, to building and testing the solution, to advising internal stakeholders or clients on the right platform, infrastructure, and operational approach.
What You Will Do
  • Design, build, test, and maintain AI and automation workflows using modern AI API platforms, low-code/no-code automation tools, RPA platforms, cloud infrastructure, source control, CI/CD, databases, and related integration technologies.

  • Partner with internal teams to document existing task flows, identify automation opportunities, estimate value and complexity, and turn selected workflows into reliable automations.

  • Advise on AI and automation platform selection, architecture, infrastructure, security, CI/CD, deployment patterns, observability, and supportability.

  • Develop reusable patterns for managed-service delivery, including multi-tenant design, client separation, permissions, logging, monitoring, and operational handoff.

  • Support external client consulting through discovery sessions, workflow mapping, solution design, demos, technical recommendations, and delivery support.

  • Create clear technical and operational documentation for automations, integrations, prompts, agents, APIs, testing procedures, and support workflows.

  • Collaborate with leadership, IT, service teams, sales, and client stakeholders to shape practical AI and automation service offerings.

Required Qualifications
  • 5+ years of experience in software engineering, automation engineering, DevOps, cloud engineering, solutions architecture, or a similar technical role.

  • Hands-on experience with APIs, webhooks, workflow automation, scripting, Git/GitHub, CI/CD pipelines, and cloud deployment practices.

  • Practical experience building with AI, LLM, or agentic platforms, including commercial AI APIs, cloud AI services, model orchestration tools, or comparable technologies.

  • Ability to design secure, testable, maintainable automations across business systems and operational workflows.

  • Strong written documentation skills and the ability to translate business processes into technical requirements and implementation plans.

  • Strong communication skills for working with both internal technical teams and external client stakeholders.

Preferred Qualifications
  • Experience with RPA, workflow automation, or low-code/no-code integration platforms.

  • Experience with containers, orchestration platforms, relational databases, cloud hosting, infrastructure-as-code, or modern application deployment patterns.

  • Experience in a managed service provider, multi-tenant SaaS, or client-service delivery environment.

  • Experience with workflow discovery, process mapping, business analysis, technical consulting, or pre-sales solution design.

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