AI Engineer

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The AI Engineer designs, develops, and deploys AI/ML-powered software solutions that advance Atlas's 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
• 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.

AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5billion.

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 22,000colleagues, in 35countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK isacomponent of the S&P 500. Visit 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 View phone number on click.appcast.io.