Software Engineer

AMETEK is hiring an AI Engineer to advance Atlas's business operations and product innovation through AI/ML-powered software solutions. The role develops and deploys AI applications, APIs, data pipelines, and cloud services, and supports production deployment, monitoring, and collaboration across engineering and product teams.

Responsibilities

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

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

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

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

Preferred

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

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

Understanding of embedded ML applications

Azure AI Engineer Certification

AWS ML Specialty Certification

Databricks Certification

Embedded ML Applications

Company

Industrial technology solutions, electronic instruments, and electromechanical devices

Berwyn, Pennsylvania, USA

http://www.ametek.com/

Founded in 1930

10001+ employees

Qualifications

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

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

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

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

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

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

Understanding of embedded ML applications

Required skills

AI/ML Lifecycle and MLOps, LLM Application Development, Retrieval-Augmented Generation (RAG), Prompt Engineering, LLM Tool/Function Calling, Embeddings and Vector Databases, LLM Guardrails and Evaluation, Azure or AWS, API and Microservices Development, CI/CD, Data Security, Privacy, and Responsible AI, Software Verification, Validation, and Risk-Based Testing

Preferred skills

Understanding of embedded ML applications, Glassdoor, 3.5, Berwyn, Pennsylvania, USA, http://www.ametek.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 95, Represents job field similar to this job, Engineering and Development, Customer Service and Support, Trends of Total Sponsorships, *2026, (2), 2025, (1), 2024, (7), 2023, 2022, 2021, (6), 2020, Public Company, Total Funding, $3.5B, 2026-08-07, Post Ipo Debt· $1.2B, 2025-01-06

Experience

2+ years