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Forward Deployment Engineer Jobs in Colorado (NOW HIRING)

At ZutaCore, you'll be part of a forward-thinking team helping define the future of AI and high ... What you'll do As a Mechanical Deployment Engineer, you will deliver hands-on deployment of ...

Sr. Forward Deployed Engineer-Retail

Denver, CO · On-site

$107K - $147K/yr

CSQ427R168 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and ... Design and deployment of performant production end-to-end data architectures and applications that ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

The Forward Deployed Data Engineer serves as a hands-on bridge between plant operations, business leadership, and IT, enabling plant-level digitalization and AI deployment while improving enterprise ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

The Forward Deployed Data Engineer serves as a hands-on bridge between plant operations, business leadership, and IT, enabling plant-level digitalization and AI deployment while improving enterprise ...

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Forward Deployment Engineer information

See Colorado salary details

$37.3K

$115.2K

$178.8K

How much do forward deployment engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for forward deployment engineer in Colorado is $115,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $145,600.00 per year, depending on experience, location, and employer.

How does a Forward Deployment Engineer typically collaborate with clients and internal teams during a project?

Forward Deployment Engineers often serve as a bridge between clients and internal engineering or product teams. They work closely with clients to understand their unique requirements, configure solutions, and ensure successful deployments, frequently traveling to client sites. Internally, they collaborate with engineers, product managers, and support staff to relay client feedback, troubleshoot issues, and optimize system performance. This role requires excellent communication skills and adaptability, as each project may involve different stakeholders and technical challenges.

What is the difference between Forward Deployment Engineer vs Network Engineer?

AspectForward Deployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS, EE, or related; certifications like CCNA, Cisco, or cloud certificationsBachelor's in CS, EE, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentOn-site deployments, fieldwork, client sites, and data centersOffice-based, network infrastructure setup, maintenance, and troubleshooting
Industry UsageTech, telecom, cloud providers, hardware vendorsIT, telecom, enterprise networks, service providers

While both roles require networking knowledge and certifications like CCNA, Forward Deployment Engineers focus on deploying and supporting hardware and systems directly at client sites, often involving fieldwork. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. The roles overlap in certifications and industry usage but differ in work environment and deployment focus.

What are the key skills and qualifications needed to thrive as a Forward Deployment Engineer, and why are they important?

To thrive as a Forward Deployment Engineer, you need strong analytical and problem-solving skills, a solid foundation in computer science or engineering, and relevant experience or a degree in these fields. Familiarity with programming languages (such as Python or Java), cloud platforms, and deployment/configuration management tools is typically required, along with knowledge of client-facing software solutions. Outstanding communication, adaptability, and teamwork skills help you understand client needs and collaborate effectively across teams. These skills ensure successful implementation and integration of complex software solutions in diverse client environments.

What are Forward Deployment Engineers?

Forward Deployment Engineers (FDEs) are technical professionals who work directly with clients to implement, customize, and deploy software solutions. They act as a bridge between engineering teams and customers, ensuring that products are successfully integrated into the client's environment and tailored to meet their specific needs. FDEs typically handle a mix of software engineering, problem-solving, and client-facing responsibilities, often traveling to customer sites to provide on-the-ground support. Their role is essential for organizations that offer complex technical products requiring hands-on deployment and adaptation.
What are popular job titles related to Forward Deployment Engineer jobs in Colorado? For Forward Deployment Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Forward Deployment Engineer jobs? Cities in Colorado with the most Forward Deployment Engineer job openings:
Infographic showing various Forward Deployment Engineer job openings in Colorado as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,205 per year, or $55.4 per hour.

Forward Deployment AI Engineer

Lyra Technology Group

Denver, CO • On-site

$120K - $150K/yr

Full-time

Posted 12 days ago


Job description

Lyra Technology Group is a private equity-backed holding company that invests in and operates industry leading technology service businesses. Our companies are operated independently by exceptional management teams. Companies that join our group retain the employees, name, and culture that have made them successful. As a platform of Evergreen Services Group, we never divest from businesses we partner with and approach every decision with the goal of driving sustainable and healthy growth over the long term.
Lyra Tech Group is looking for a Forward Deployed AI Engineer for one of our operating companies. As an FDE, you will work directly inside our clients' businesses - rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.
Your work as a Forward Deployment AI Engineer will include several components:
• Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
• Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar - including tool-use, memory, and multi-agent orchestration patterns
• Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
• Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
• Own the full delivery lifecycle - from scoping and architecture to build, testing, handoff, and lightweight documentation
• Train and enable client teams to maintain and iterate on solutions post-deployment
• Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
• Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice
Our ideal Forward Deployment AI Engineer has the following qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
• Must be legally authorized to work in the United States without employer sponsorship now or in the future
• 2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
• Working proficiency in Python and familiarity with REST APIs and cloud services
• Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
• Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
• Ability to work independently in ambiguous, fast-moving client environments
• Strong communication skills - you can explain a vector database to a CFO without losing them
Preferred
• Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
• Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
• Exposure to low-code/no-code tools alongside custom-code solutions
• Prior client-facing, consulting, or forward-deployed engineering experience
• Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail
Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements - you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.
The targeted base salary range for this role is $120,000-$150,000 per year, depending on experience. You must live within a reasonable commuting distance of the operating company and be willing to travel to client sites as needed.
Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.