AI Platform Engineer: Enterprise AI & Workflow Automation

MSA, The Safety Company; Cranberry Township (Butler County); Hybrid; USD 120,000 - 160,000; Full time

Job summary

MSA Safety is building an AI Platform that enables users across business functions to connect with enterprise data for intelligent search, agentic workflows, and artifact generation. The team focuses on scalable design across the stack, from LLM orchestration to cloud deployment.

As an AI Engineer on this team, you’ll design, build, and scale the systems behind this work, leveraging AWS and modern AI tooling. You’ll thrive in a fast-paced environment and communicate clearly with stakeholders.

Qualifications

• 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.

Responsibilities

• 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)

Skills

Python

TypeScript

PyTorch

TensorFlow

Transformers

LoRA

QLoRA

Cloud

CI/CD

Communication

Education

Bachelor's Degree in AI Engineering/Data Science/CS/Statistics/Math/Engineering or related quantitative discipline

Tools

AWS

Bedrock

Bedrock AgentCore

Strands

SAP

Salesforce

Job description

MSA Safety is building an AI Platform that enables users across business functions to connect with enterprise data for intelligent search, agentic workflows, and artifact generation. The team focuses on scalable design across the stack, from LLM orchestration to cloud deployment.

As an AI Engineer on this team, you’ll design, build, and scale the systems behind this work, leveraging AWS and modern AI tooling. You’ll thrive in a fast-paced environment and communicate clearly with stakeholders.