FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Industrial AI & Automation Systems Engineer
FortiveIndustrial AI & Automation Systems Engineer at Ralliant Corporation shaping digital manufacturing with AI and automation initiatives across production processes.
Tech Stack
Tools & technologiesERPIoTPythonSQL
About the role
Key responsibilities & impact- Identify and support AI, automation, and digitalisation opportunities across manufacturing and support processes
- Analyse production systems and workflows to identify inefficiencies, variation, and improvement potential
- Develop and help implement AI-enabled solutions using data from manufacturing, quality, and business systems
- Contribute to practical physical AI applications such as machine vision, predictive maintenance, robotics support, and smart sensing
- Work with cross-functional teams to ensure solutions address operational needs and can be adopted successfully
- Support digital transformation projects from idea through pilot, validation, implementation, and sustainment
- Create dashboards, workflows, and decision-support tools that improve visibility and problem solving
- Apply structured improvement methods such as Lean, root cause analysis, FMEA, and statistical thinking
- Help ensure that solutions are secure, maintainable, and aligned with technical, safety, and organisational standards
- Keep up to date with relevant developments in AI, automation, and digital manufacturing, and assess their practical value for the site
Requirements
What you’ll need- Degree in Industrial Engineering, Chemical Engineering, Manufacturing Engineering, or a related engineering discipline
- Experience in a manufacturing, production, process, or industrial environment
- Strong systems-thinking capability and a structured approach to problem solving
- Interest in applying AI, automation, and digital tools to practical manufacturing challenges
- Knowledge of continuous improvement methods such as Lean, Six Sigma, root cause analysis, SPC, or FMEA
- Familiarity with manufacturing systems and data environments such as MES, ERP, SCADA, IoT, SQL, or Power BI
- Ability to work collaboratively across functions and translate operational needs into scalable solutions
- Good command of English, both written and spoken.
- Exposure to physical AI technologies such as machine vision, robotics, smart sensors, edge AI, or connected equipment (preferred qualification)
- Working knowledge of digital application tools such as Power Platform, Python, low-code/no-code tools, or modern analytics platforms (preferred qualification)
- Experience with programming, industrial communication protocols, or embedded systems would be an advantage depending on application needs (preferred qualification)
Benefits
Comp & perks- Health insurance (not explicitly mentioned but commonly offered)
- Retirement plans (not explicitly mentioned but commonly offered)
- Paid time off (not explicitly mentioned but commonly offered)
- Flexible work arrangements (not explicitly mentioned but commonly offered)
- Professional development (not explicitly mentioned but commonly offered)
- Bonuses (not explicitly mentioned but commonly offered)
- Stock options (not explicitly mentioned but commonly offered)
- Equipment allowances (not explicitly mentioned but commonly offered)
- Wellness programs (not explicitly mentioned but commonly offered)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LeanFMEARoot Cause AnalysisStatistical Process ControlPythonSQLPower BIIndustrial Communication ProtocolsEmbedded SystemsDigital Application Tools
Soft Skills
Systems-Thinking CapabilityStructured Problem SolvingCollaboration