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Application Engineer Machine Tools Jobs in Richardson, TX

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to ... Co-build AI assistants, knowledge tools, and workflow automations using approved enterprise ...

AI Application Engineer

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to ... Co-build AI assistants, knowledge tools, and workflow automations using approved enterprise ...

Be Seen First

Set up and operate manual lathes, mills, drills, and other machine tools to manufacture precision parts. * Read and interpret blueprints, engineering drawings, and work orders. * Measure finished ...

In this role, your responsibility is to drive ATE test program generation tools. Knowledge and ... Act as a hands-on ATE application engineer, providing deep technical expertise in Analog / Mixed ...

Select how often (in days) to receive an alert: Sr Application Engineer, EDA Experience Level ... Evaluate, benchmark, qualify, and deploy EDA tools for custom design, AMS simulation, digital ...

Field Application Engineer (FAE)

Dallas, TX · On-site

$80 - $100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role is based in Dallas, TX 75238. Role Summary Field Application Engineer (FAE ... Develop tools, guides, and resources to enable team proficiency and confidence in product‑related ...

In this role, your responsibility is to drive ATE test program generation tools. Knowledge and ... Proven experience as an ATE Application Engineer supporting IC testing, with strong exposure to ...

Showing results 21-40

Application Engineer Machine Tools information

See Richardson, TX salary details

$45.9K

$100.5K

$138K

How much do application engineer machine tools jobs pay per year?

As of Aug 20, 2026, the average yearly pay for application engineer machine tools in Richardson, TX is $100,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $122,600.00 per year, depending on experience, location, and employer.

What is an application engineer machine tools?

An Application Engineer for Machine Tools is a professional who specializes in the integration, programming, and optimization of machine tools such as CNC machines in manufacturing environments. They work closely with customers to understand their production needs, recommend suitable machinery, and provide technical support for installation, operation, and troubleshooting. Their role often involves demonstrating equipment capabilities, training operators, and developing custom solutions to enhance productivity and efficiency. Application Engineers act as a bridge between the manufacturer and the end user, ensuring that machine tools are used to their full potential.

What are the key skills and qualifications needed to thrive as an application engineer machine tools?

To excel as an Application Engineer in Machine Tools, you need a solid background in mechanical or manufacturing engineering, strong problem-solving abilities, and experience with CNC programming and machining processes. Familiarity with CAD/CAM software, PLC programming, and knowledge of automation systems are typically required, along with relevant certifications such as Siemens or FANUC training. Strong communication, customer service orientation, and teamwork skills help you effectively collaborate with clients and internal teams. These skills ensure you can optimize machine tool performance, deliver tailored solutions, and support customers in complex manufacturing environments.

What are the common challenges faced by application engineers in the machine tool industry, and how can they be addressed?

Application Engineers in the machine tool industry often encounter challenges such as customizing solutions for diverse client needs, staying updated with rapidly evolving technologies, and troubleshooting complex machining processes. To address these, it’s important to maintain strong communication with both customers and internal teams, invest in continual technical training, and develop robust problem-solving skills. Collaboration with sales, design, and service departments also plays a key role in delivering tailored, effective solutions and ensuring customer satisfaction.

What is the difference between Application Engineer Machine Tools vs Service Engineer Machine Tools?

AspectApplication Engineer Machine ToolsService Engineer Machine Tools
CredentialsBachelor's in Mechanical/Electrical Engineering, certifications in CNC or machiningTechnical diploma or associate degree, certifications in machine maintenance
Work EnvironmentCustomer sites, sales offices, manufacturing plantsFactory floors, customer sites, repair workshops
Primary FocusPre-sales support, product demonstrations, technical consultingMachine installation, troubleshooting, repairs
Industry UsageManufacturers, machine tool suppliers, sales companiesManufacturers, service providers, maintenance companies

Application Engineer Machine Tools primarily focus on pre-sales activities, technical consulting, and supporting customers in selecting the right machinery. Service Engineers Machine Tools concentrate on maintaining, repairing, and troubleshooting machines after installation. Both roles require technical skills and industry knowledge but differ in their core responsibilities and work environments.

What are popular job titles related to Application Engineer Machine Tools jobs in Richardson, TX?

For Application Engineer Machine Tools jobs in Richardson, TX, the most frequently searched job titles are:

What job categories do people searching Application Engineer Machine Tools jobs in Richardson, TX look for?

The top searched job categories for Application Engineer Machine Tools jobs in Richardson, TX are:

What cities near Richardson, TX are hiring for Application Engineer Machine Tools jobs?

Cities near Richardson, TX with the most Application Engineer Machine Tools job openings:

Infographic showing various Application Engineer Machine Tools job openings in Richardson, TX as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $100,529 per year, or $48.3 per hour.

AI Application Engineer

AWC, Inc

Plano, TX • On-site

Full-time

Re-posted 8 days ago


Job description

AI Application Engineer

We’re seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous learning, and practical innovation and we’re committed to turning those qualities into solutions that create measurable impact for our customers and our business. If you’re ready to help shape how AI accelerates the future of work at AWC, we’d love to have you on our team.

The AI Application Engineer plays a key role on AWC’s team by building and scaling practical AI adoption across the organization. This position is not just about implementing technology, it’s about collaborating across functions to create a repeatable operating system for AI-enabled business improvement. Through process discovery, governed AI deployment, training, and continuous improvement, this role helps teams improve speed, consistency, expertise, throughput, and customer responsiveness.

In this role, you will work at the intersection of business operations, process improvement, IT/security, subject matter experts, and local teams. Together, the team identifies high-value opportunities, designs governed AI solutions, develops local AI champions, and scales successful practices across AWC.

How You’ll Make an Impact

Build and Scale AI Adoption Across AWC

  • Lead AI opportunity intake, prioritization, and risk classification across AWC functions and locations
  • Identify high-value opportunities to improve productivity, expertise access, consistency, and customer responsiveness
  • Establish AI adoption frameworks that can be repeated and scaled across the organization
  • Partner with business leaders to align AI initiatives with strategic priorities and measurable outcomes

Drive Continuous Improvement Through AI

  • Facilitate Kaizen-style process walks to identify workflow friction, rework, delays, manual effort, and knowledge-access gaps
  • Map business processes and identify opportunities to eliminate waste and improve throughput
  • Translate operational challenges into practical AI-enabled solutions
  • Measure and communicate business impact through cycle-time reduction, throughput improvements, and time savings

Design and Deploy Governed AI Solutions

  • Co-build AI assistants, knowledge tools, and workflow automations using approved enterprise platforms and data sources
  • Develop validation methodologies, deployment checklists, governance standards, and risk controls
  • Partner with IT, security, legal, compliance, and SMEs to ensure safe and responsible AI deployment
  • Maintain source governance processes, document lifecycle standards, and deployment readiness reviews

Create Repeatable AI Enablement Programs

  • Train and develop AI Users, AI Champions, AI Builders, and AI Product Owners across AWC
  • Build training curriculum, best practices, and reusable deployment playbooks
  • Support adoption through coaching, office hours, and continuous improvement activities
  • Create an enterprise library of approved AI patterns, templates, lessons learned, and accelerators

Create Visibility and Alignment

  • Maintain visibility into AI initiatives, adoption metrics, risks, and business outcomes
  • Provide leadership with clear reporting on ROI, adoption, answer quality, and deployment readiness
  • Align stakeholders around priorities, governance requirements, and scaling opportunities
  • Help establish a repeatable enterprise framework for AI-enabled business improvement

Skills You’ll Need

  • Bachelor's degree in Engineering (Mechanical, Electrical, Computer, Industrial, or related engineering discipline)
  • Experience applying Kaizen, Lean, Lean Six Sigma, process engineering, or continuous improvement methodologies
  • Practical experience with AI tools, AI assistants, workflow automation, knowledge systems, analytics, or business systems implementation
  • Ability to translate between business users, technical teams, SMEs, and leadership stakeholders
  • Strong facilitation, coaching, and training skills
  • Excellent written communication skills, including SOPs, governance documents, training materials, and executive summaries
  • Data literacy and experience working with reports, spreadsheets, ERP/CRM data, and knowledge repositories
  • Sound judgment regarding governance, source control, data sensitivity, technical limitations, and human-in-the-loop review
  • Ability to travel approximately 30–40% during the first year and 20–30% thereafter to support AWC’s multi-site footprint

Here’s What Will Set You Apart

  • Experience supporting AI adoption in industrial distribution, automation, controls, engineering support, supply chain, operations, or technical sales environments
  • Demonstrated success leading continuous improvement initiatives with measurable business impact
  • Experience building governance frameworks, knowledge management systems, or enterprise AI programs
  • Experience supporting multi-site organizations and scaling best practices across locations
  • Familiarity with engineering systems, configurator workflows, technical documentation, BOMs, and source-of-truth challenges
  • Strong bias for action, ownership, teaching others, and building repeatable systems rather than one-time solutions

The Rewards

  • Employee Stock Ownership Plan (ESOP)
  • 401(K) Match
  • Competitive Pay
  • Medical, Dental and Vision Insurance Package
  • Employer Paid Life Insurance
  • Paid Time Off and Holiday Pay
  • Career Development Opportunities

About AWC

As employee co-owners, we’re driven to do more than complete tasks; we build fulfilling careers by challenging assumptions and continually raising the bar. We embrace creative, innovative approaches to deepen our expertise and deliver real value to our customers.

We partner strategically with many of the world’s most recognized technology brands to help engineering, reliability, and maintenance teams solve complex problems. As experts in our partners’ technologies, we’re equipped to properly size, select, configure, and support the right solutions. Our goal is simple: combine caring, knowledgeable people with innovative technologies to help our customers succeed.

How We Win Together

We are committed to solving customer problems and welcome team members that want to be the trusted resource to those looking for a partner who out-knows, out-cares, and out-serves everyone else. Every day, we strive to deliver on our mission to empower people to make the greatest positive impact for the communities and families we serve together.

Our Winning Together culture starts with a shared commitment to building an environment of inclusiveness, trust, and mutual respect. We know that when people are safe to pursue their passions, to learn, to serve, and to share in the rewards from our combined efforts, then we are winning together.