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Remote Forward Deployed Engineer Jobs in Colorado

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

It is an engineering role focused on building, deploying, and operating AI systems in a regulated ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Systems Engineer

Boulder, CO · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0243869 Location: Boulder,CO,US Share job via: Share Systems Engineer ... to develop and deploy the next generation of Overhead Persistent Infrared (OPIR) systems ...

Test Engineer

Aurora, CO · On-site +1

$86K - $198K/yr

Space Force to develop and rapidly deploy the next generation of resilient Missile Warning (MW ... Join our team and create the future of remote sensing. Join us. The world can't wait. You Have ...

DevSecOps Engineer

Sterling, CO · Remote

$48 - $65.75/hr

This engineer will be responsible for automating the deployment and security of software, reducing ... Deploying software packages to remote operational systems. * Strong Linux/Unix command line ...

Fully remote would be considered on a case-by-case basis. There is an identical senior level ... and deployed related to peer reviews, fatal flaw reviews, conformance to industry standard ...

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic ...

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Build and deploy scalable AI services and computational imaging pipelines to production, ensuring ...

Ground System Engineer

Aurora, CO · On-site +1

$99K - $225K/yr

If this sounds like you, come join Booz Allen's new Remote Sensing Systems Engineering and ... develop and deploy the next generation of Overhead Persistent Infrared (OPIR) ground systems ...

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and ...

Showing results 41-60

Remote Forward Deployed Engineer information

How does a remote forward deployed engineer typically collaborate with client teams and internal stakeholders?

As a Remote Forward Deployed Engineer, you will regularly interact with both client teams and internal product or engineering teams. Collaboration often happens through virtual meetings, shared documentation, and project management tools. You'll be expected to translate client requirements into actionable engineering tasks, communicate technical constraints or possibilities, and coordinate deployments or troubleshooting efforts. Successful engineers in this role are proactive communicators and can bridge the gap between user needs and technical solutions, even when working across time zones.

What is a remote forward deployed engineer?

A Remote Forward Deployed Engineer is a technical professional who works remotely to help implement and customize software solutions directly for clients, often acting as a bridge between the engineering team and the customer. They typically travel (virtually or occasionally onsite) to work closely with clients, understand their needs, and ensure the successful deployment and integration of products. Their role often includes troubleshooting, coding, and providing support tailored to each client’s requirements. This position requires strong technical skills, excellent communication, and the ability to adapt solutions for diverse customer environments.

What are the key skills and qualifications needed to thrive as a remote forward deployed engineer, and why are they important?

To thrive as a Remote Forward Deployed Engineer, you need strong software engineering skills, problem-solving abilities, and a background in computer science or a related field. Experience with programming languages, cloud platforms, and deployment tools—along with familiarity with CI/CD pipelines and relevant certifications—are typically required. Exceptional communication, adaptability, and self-motivation are crucial soft skills for collaborating across distributed teams and interfacing with clients. These skills and qualities ensure successful implementation of technical solutions tailored to client needs, even in remote and dynamic environments.
What are the most commonly searched types of Forward Deployed Engineer jobs in Colorado? The most popular types of Forward Deployed Engineer jobs in Colorado are:
What are popular job titles related to Remote Forward Deployed Engineer jobs in Colorado? For Remote Forward Deployed Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Forward Deployed Engineer jobs in Colorado look for? The top searched job categories for Remote Forward Deployed Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Forward Deployed Engineer jobs? Cities in Colorado with the most Remote Forward Deployed Engineer job openings:
Infographic showing various Remote Forward Deployed Engineer job openings in Colorado as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Lead AI Engineer - AWS Platform

The Mutual Group

Denver, CO • On-site, Remote

$130K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Department:

Information Technology

Job Description:

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems).

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and focused on delivering real systems, while helping shape the foundation of our emerging AI platform.

This is not a pure research or modeling role. It is an engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Build AI Systems (Core Responsibility)

  • Design and implement end-to-end AI/ML solutions including LLM-based applications

  • Build RAG pipelines using vector databases and enterprise data sources

  • Build machine learning models that automate their training, validation, monitoring, and retraining

  • Develop APIs and services to operationalize AI capabilities across the organization

Develop Data + AI Pipelines

  • Build ingestion for multimodal content and transformation pipelines for structured and unstructured data

  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)

  • Ensure data quality, traceability, reliability, and governance in all AI pipelines

Operationalize Models (MLOps)

  • Implement CI/CD for AI/ML workflows

  • Deploy, monitor, and maintain models in production

  • Manage model versioning, performance monitoring, and retraining processes

Build on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

  • Contribute to evolving use of AWS Bedrock

Apply Responsible AI Practices

  • Implement guardrails for LLM-based systems (grounding, validation, safety)

  • Ensure secure handling of sensitive data (PII, financial, etc.)

  • Build systems aligned with enterprise governance and compliance standards

Lead by Doing

  • Provide technical guidance and mentorship to engineers

  • Contribute to engineering standards and reusable patterns

  • Partner with architects and business teams to deliver high-impact use cases

Qualifications:

Required

  • 10+ years in software, data engineering, 5 years AI/ML engineering

  • Hands-on experience building production AI/ML systems

  • Experience with RAG pipelines, LLMs, or NLP-based systems

  • Experience with AWS Bedrock or similar GenAI platforms

  • Experience with data pipelines and distributed systems

  • Experience deploying and operating systems in AWS

  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

Preferred

  • Experience with vector databases (Pinecone, Weaviate, etc.)

  • Experience in regulated industries (insurance, finance, healthcare)

  • Exposure to microservices and containerized environments (Docker, Kubernetes)

Pay Range:

Anticipated Hiring Range:

  • $130,000 - $190,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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