Founded over 35 years ago, First Quality is a family\-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high\-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions.
Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you’ll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better®.
We are seeking a Solutions Engineer, AIfor our First Quality Tissue SE, LLCcompany working remotely. This position will be responsible designing, developing, deploying and scaling AI\-driven assets across all business functions including Manufacturing, Supply Chain, Quality, Finance, HR, Sales/Marketing and Customer Service.
This role will leverage Palantir Foundry/AIP or equivalent enterprise data and AI platforms to build scalable data models, AI\-driven workflows, and intelligent applications embedded directly into plant and business processes.
The position works cross\-functionally with Manufacturing, Supply Chain, Quality, IT/OT, and Enterprise Transformation leadership to translate operational challenges into production\-grade AI solutions that deliver measurable business value.
Primary responsibilities include:
AI Solution Development, Deployment \& Life Cycle Management
- Design, develop, and deploy production\-grade AI/ML models within Palantir or equivalent enterprise platforms
- Develop AI\-driven workflows embedded in all business functions
- Build ontology\-driven or model\-based data structures to support operational decision\-making
- Develop LLM\-enabled assistants and intelligent workflow automation solutions
- Productionize models with monitoring, retraining strategies, and performance tracking
- Measure business impact (cost, throughput, quality, service)
- Continuously improve models based on operational feedback
- Ensure models are explainable and trusted by business functional experts and end users
- Partner with plant leaders, engineers, planners, and quality teams to identify high\-impact AI use cases
- Translate operational problems into scalable technical solutions
- Embed AI insights into daily workflows for operators, supervisors, planners, and executives
- Replace manual and spreadsheet\-driven processes with automated, intelligent systems
- Support management of change and adoption of AI\-enabled solutions
- Example use cases may include:
- Design and maintain scalable data pipelines integrating ERP, MES, SCADA/PLC, quality, and supply chain systems
- Work with structured and unstructured data sources across enterprise and plant environments
- Ensure data quality, governance, lineage, and security standards are maintained
- Collaborate with IT and OT teams to bridge plant\-floor data into enterprise AI models
- Design and deploy secure, role\-based AI assistants
- Implement retrieval\-augmented generation (RAG), tool orchestration, and workflow automation
- Apply LLMs to SOP interpretation, diagnostics, reporting automation, and executive insights
- Ensure responsible AI practices aligned with company policies and governance standards
- Design solutions that meet data security, IP protection, and regulatory requirements
- Support development of enterprise AI standards and best practices
- Promote explainable, ethical, and transparent AI deployment
- Ensure AI outputs are trusted and usable by business stakeholders
- Bachelor’s degree in Computer Science, Data Science, Engineering (Industrial, Mechanical, Electrical, Systems), Applied Mathematics or related field (or equivalent experience)
- 5\+ years of experience in data engineering, AI/ML engineering, or enterprise data platforms.
- Hands\-on experience developing end\-to\-end solutions natively with Palantir Foundry/AIP or equivalent platforms.
- Proven track record of bridging IT and business functions to deliver measurable outcomes.
- Experience integrating manufacturing and/or supply chain systems.
- 3\+ years of experience in manufacturing or CPG environments preferred
- Lean / Six Sigma knowledge preferred
- Familiarity with IT systems commonly used in CPG manufacturing, such as SAP, MES (Manufacturing Execution Systems), Quality, Workday, SalesForce, and Microsoft Solutions.
- Strong proficiency in:
- Hands\-on experience with:
- Experience deploying models into production environments
- Familiarity with:
- Strong problem\-solving mindset with business focus
- Ability to explain complex AI concepts to non\-technical stakeholders
- Bias toward action and delivering measurable value
- Comfortable working in ambiguous, evolving environments
- High standards for data integrity and model reliability
- Excellent communication and interpersonal skills.
- This role will require frequent travel to manufacturing facilities or division offices
- Hybrid work arrangement with a mix of on\-site and remote work, depending on business needs
- Competitive base salary and bonus opportunities
- Paid time off (three\-week minimum)
- Medical, dental and vision starting day one
- 401(k) with employer match
- Paid parental leave
- Child and family care assistance (dependent care FSA with employer match up to $2500\)
- Bundle of joy benefit (year's worth of free diapers to all team members with a new baby)
- Tuition assistance
- Wellness program with savings of up to $4,000 per year on insurance premiums
- ...and more!
Manufacturing \& Supply Chain Transformation
+ Predictive maintenance
+ Yield and throughput optimization
+ Demand forecasting and inventory optimization
+ Quality anomaly detection
+ Root cause analysis
+ Process and cost optimization
Data Engineering \& Integration
LLM \& Intelligent Automation
Governance \& Responsible AI
The ideal candidate should possess the following:
Technical Skills:
+ Python
+ SQL
+ Data modeling
+ Machine learning (supervised / unsupervised)
+ Time\-series forecasting
+ Optimization techniques
+ Cloud platforms (Azure, AWS, GCP)
+ Spark or distributed data processing
Key Competencies:
Work Environment:
Minimal travel maybe required.
What We Offer You
We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive:
First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data.
First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.