An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
AI Engineer - 9830
Cranberry Township, PA
1 DAYS AGO
22846146
Summary
Cranberry Township, PA
In-Person
Competitive Salary
0 Years Experience
Bachelor's degree
No Commission
40.00 hours per week / Day Shift / Full-Time
Description Are you someone who is passionate, motivated, and driven to make a difference? If so, MSA Safety is the perfect fit for your career. At
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About the
Role:
We're building an AI Platform that empowers users across business functions to connect with enterprise data and accomplish everything from intelligent search to agentic workflows for task automation and artifact generation. The platform is accelerating business processes and shaping new ways we serve and innovate for our customers, with growing use cases across frontline support, NPD engineering, and business development. As an AI Engineer on this team, you'll help design, build, and scale the systems behind this work. You'll work across the stack: orchestrating LLMs and agents, integrating with enterprise data sources, deploying in the cloud, and iterating based on how real users actually use what we build. We move fast, and we're looking for someone who thrives in that environment: adaptable, quick to learn, and an excellent communicator who can turn ambiguity into clear direction and shipped work.
What You'll Do:
Design and build AI-enabled applications and services powering intelligent search, agentic workflows, and artifact generation
Develop and orchestrate agentic systems, including tool use, multi-step reasoning, and evaluation loops grounded in real-world feedback
Deploy, monitor, and continuously improve models and AI services on AWS
Partner with stakeholders across MSA business functions to translate real needs into tools that drive productive use
Contribute to architectural discussions and help drive technical decisions across the team
Write clean, maintainable, well-documented code and uphold strong engineering practices (Git, code review, CI/CD, testing)
Qualifications
This position is posted at multiple levels:
Level I:
0-1 years of experience
Level II:
1-3 years of experience
Senior:
3-5 years of experience
Required Education and Experience:
Bachelor's Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline
Experience building AI-enabled applications, ideally involving agentic workflows, tool orchestration, and evaluation
Experience with MLOps practices, including model deployment, monitoring, and evaluation in a cloud environment (AWS preferred)
Proficiency in Python; TypeScript is a plus
Working experience with at least one major ML framework (PyTorch or TensorFlow)
Solid understanding of transformer-based models, including multimodal architectures, and familiarity with parameter-efficient fine-tuning (e.g., LoRA, QLoRA) and model optimization techniques (quantization, pruning, distillation)
Understanding of how software works across the stack and in the cloud, including containers, serverless functions, databases, and observability/telemetry
Strong software engineering fundamentals and a track record of clean, well-tested code
Adaptability and a fast pace, with the curiosity to pick up new tools and frameworks as the AI landscape evolves
Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Preferred Education and Experience:
Master's Degree
Experience working with open-source models via Hugging Face and managed services such as AWS Bedrock and Bedrock AgentCore, as well as agent SDKs like Strands
Experience working with enterprise ERP and CRM systems such as SAP and Salesforce
Experience in an agile development environment
Experience with Vision Transformers and/or CNNs
Familiarity with SQL, ETL, and working with large datasets #LI-KH2 #
LI-HYBRID
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