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Software Engineer - AI/ML

AMETEK Inc
  • Mount Prospect, IL
  • Autofill and Review
5 days ago

Job Description

Job Title: 

Software Engineer - AI/ML

Location: 

Mount Prospect, IL, US, 60056

Business Unit: 

Atlas

Posting Date: 

Oct 2, 2026

Job Description: 

  The AI Engineer/Software Engineer - AI/ML designs, develops, and deploys AI/ML-powered software solutions that advance Atlass business operations and product innovation. Working within the software engineering team, this role builds and integrates AI capabilities-including LLM-based tools, copilots, data pipelines, and cloud applications-in alignment with established architecture, engineering standards, and product roadmaps. The ideal candidate combines hands-on technical depth across the full AI/ML lifecycle with strong collaboration skills, translating requirements from product and engineering leadership into scalable, reliable, production-grade solutions while upholding security, privacy, and responsible-AI practices.   Key Responsibilities: Solution Development

Develop, test, and deploy AI-powered software applications, including LLM-based tools, copilots, and automation solutions

Develop and integrate APIs, services, and data pipelines that support AI functionality 

Contribute to identifying and prototyping high-value AI use cases in partnership with business, engineering, and lab-services stakeholders

Translate defined requirements from product managers and engineering leadership into working solutions

Develop reliable, maintainable, and scalable software following team standards and established architectural guidelines 

Deployment & MLOps

Support the deployment and maintenance of AI/ML applications in production environments

Implement and maintain monitoring, evaluation, and logging mechanisms for AI systems

Contribute to CI/CD pipelines and model/application lifecycle management

Support debugging, performance optimization, and system reliability 

Collaboration & Process 

Work closely with the software engineering team, product stakeholders, and cross-functional partners 

Collaborate with the Software Engineering Manager and team on system design and implementation approaches 

Participate in sprint planning, code reviews, and agile development processes 

Communicate progress, risks, and technical trade-offs clearly to the Software Engineering Manager and project stakeholders

Compliance & Quality 

Follow established standards for security, privacy, and responsible AI usage 

Support software validation, testing, and documentation per company processes (QMS where applicable) 

Ensure compliance with internal development and deployment policies 

Perform other duties as assigned 

  Requirements: Education 

Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Engineering, Electrical/Computer Engineering, or related field required 

Master's degree preferred (AI/ML, Computer Science, Software Engineering, or related) 

Experience 

2+ years in software engineering, architecture, or applied data/ML engineering roles, with experience delivering AI/ML solutions (model development and/or LLM/RAG applications) into production environments 

Hands-on capability designing and building AI-powered applications, including rapid prototyping through production deployment 

Practical experience with the AI/ML lifecycle: data pipelines, evaluation, deployment, monitoring, maintenance, and MLOps 

Technical Skills 

Experience with LLM-based applications (prompting patterns, tool/function calling, RAG, embeddings/vector databases, guardrails, and evaluation techniques) 

Experience with cloud platforms (Azure or AWS), APIs/microservices, CI/CD pipelines, and secure deployment practices 

Strong software design and modular development skills; ability to contribute to scalable, maintainable architectures and follow established engineering standards 

Working knowledge of data security, privacy, and responsible AI practices (access control, governance, auditability) 

Familiarity with software verification/validation, risk-based testing, and quality management practices in regulated or quality-managed environments 

Demonstrated ability and willingness to use AI tools to improve productivity, decision-marking, work quality, and to reduce costs.  The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.

Professional Skills 

Able to complete assigned work with appropriate guidance while contributing effectively as a team player in a fast-paced, deadline-driven environment

Strong interpersonal and communication skills; able to collaborate effectively across engineering and cross-functional teams and contribute to technical documentation and design discussions 

Strong prioritization and organizational skills; able to manage multiple tasks and deliver high-quality results 

Preferred / Nice-to-Have 

Relevant certifications: Azure AI Engineer, AWS ML Specialty, Databricks, or equivalent 

Understanding of embedded ML applications 

Compensation

Employee Type: 

Salaried

Currency: 

USD

Salary Minimum: 

120,000

Salary Maximum: 

140,000

Incentive: 

No

Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting.  The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location. For more information on AMETEKs competitive benefits, please click here. AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion. AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers' most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1 (866) 263-8359.

Nearest Major Market: Chicago

Numbers & Facts

LocationMount Prospect, IL
IndustryElectronics, Components, and Semiconductor Mfg
Company Size10,000 employees or more
Year Founded1930
Websitehttp://www.ametek.com/

About Company

AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.0 billion.

AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers’ most complex challenges. We employ 21,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK (NYSE:AME) is a component of the S&P 500. Visit www.ametek.com for more information.

Skills

  • Access Controlunmatched
  • Agile Programming Methodologiesunmatched
  • Application Programming Interface (API)unmatched
  • Architectural Servicesunmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Business Operationsunmatched
  • Cloud Applicationsunmatched
  • Code Reviewsunmatched
  • Communication Skillsunmatched
  • Computer Engineeringunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cost Controlunmatched
  • Cross-Functionalunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Scienceunmatched
  • Debugging Skillsunmatched
  • Documentationunmatched
  • Electrical Engineeringunmatched
  • Embedded Systemsunmatched
  • Engineering Managementunmatched
  • Environmental Managementunmatched
  • Information/Data Security (InfoSec)unmatched
  • Interpersonal Skillsunmatched
  • Leadershipunmatched
  • Multitaskingunmatched
  • Performance Tuning/Optimizationunmatched
  • Privacy Controlsunmatched
  • Product Engineeringunmatched
  • Product Planningunmatched
  • Production Systemsunmatched
  • Productivity Managementunmatched
  • Prototypingunmatched
  • Quality Managementunmatched
  • Rapid Prototypingunmatched
  • Requirements Managementunmatched
  • Riskunmatched
  • Salesunmatched
  • Software Administrationunmatched
  • Software Designunmatched
  • Software Developmentunmatched
  • Software Development Lifecycle (SDLC)unmatched
  • Software Engineeringunmatched
  • Software Testingunmatched
  • Software Validationunmatched
  • Sprint Planningunmatched
  • Systems Reliabilityunmatched
  • Team Playerunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Test Plan/Scheduleunmatched
  • Time Managementunmatched
  • Use Casesunmatched
  • Validation Testingunmatched

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