About the role
What will you do at The Boler Company®?
Position Purpose:
An AI Engineer will design, develop, and deploy intelligent solutions that
optimize manufacturing processes, improve operational efficiency, and enable
data-driven decision-making. This role also supports manufacturing, engineering
and quality functions, including development of analytical models and
participation in PPAP (Production Part Approval Process) documentation and
validation.
Essential Functions:
1. 1. AI & Machine Learning Development
* Design, develop, and deploy machine learning models for manufacturing use
cases
* Build an automated quoting tool, pulling data from material indexes, routing
times, and historical similar parts to reduce quoting time.
* Build predictive models for maintenance, quality control, and demand
forecasting
* Develop computer vision systems for defect detection and inspection
* Create and maintain statistical and analytical models supporting engineering
and quality validation
* Optimize algorithms for real-time industrial applications
1. Engineering & Quality Support
* Develop AI/ML models to support process capability analysis, root cause
analysis, and quality improvement initiatives
* Develop AI design and simulation tools for engineering
* Partner with engineering teams to model process parameters, tolerances, and
product performance
* Support APQP and PPAP activities, including:
* Contributing data analysis for Process Capability
* Supporting Measurement System Analysis (MSA)
* Assisting with control plans and validation data packages
* Ensuring AI models align with customer and regulatory quality requirements
* Provide data-driven insights for continuous improvement and defect reduction
1. Data Engineering & Processing
* Collect, clean, and preprocess data from machines, sensors, and IoT devices
* Integrate data pipelines from ERP, MES, and SCADA systems
* Ensure data quality and traceability for quality audits and PPAP
documentation
1. Manufacturing Process Optimization
* Analyze production workflows using AI to improve efficiency and reduce waste
* Develop AI-driven solutions for process automation and optimization
* Support Six Sigma and Lean initiatives with advanced analytics
* Work with scheduling team to build dynamic models that optimize throughput
and cost based on machine availability, labor constraints, and order priority
1. Deployment & Integration
* Deploy models into production environments (edge devices, cloud, or on-prem
systems)
* Integrate AI solutions with existing manufacturing and quality systems
* Monitor model performance and ensure compliance with engineering and quality
standards
1. Cross-Functional Collaboration
* Develop functional alignments by working with engineering, quality,
operations, and IT teams
* Translate manufacturing and quality requirements into AI solutions
* Support audits and customer reviews requiring technical data and validation
documentation
Education and Training:
* Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,
or related field
Minimum Qualifications
- * 3+ years of experience in AI/ML development (manufacturing experience
- preferred)
- * Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn)
- * Experience with statistical analysis and quality engineering methods
- * Familiarity with PPAP, APQP, and core quality tools
- * Experience with Industrial IoT (IIoT) and sensor data
- * Familiarity with MES, ERP, and SCADA systems
- * Knowledge of computer vision and deep learning
- * Understanding of Six Sigma, SPC, MSA, FMEA, and control plans
- * Experience developing engineering models tied to product or process
- validation
- Physical Demands:
- * Reporting to work for assigned shift, maintaining a physical presence and
- performing assigned work for the duration of assigned shift is required;
- * Ability to work in a variety of environments which may include exposure to
- extreme heat, humidity, fumes or airborne particles, toxic or caustic
- chemicals, loud noise, and all weather conditions.
- * The physical demands described here are representative of those that must be
- met by an employee to successfully perform the essential functions of this
- job. Reasonable accommodations may be made to enable individuals with
- disabilities to perform the essential functions.
- * While performing the duties of this job, the employee is regularly required
- to talk or hear. The employee is frequently required to use hands to finger,
- handle, or feel and reach with hands and arms. The employee is occasionally
- required to stand, walk, sit, climb or balance and stoop, knee, crouch, or
- crawl. The employee must occasionally lift and/or move up to 75 pounds.
- Specific vision abilities required by this job include close vision.
- Environmental Conditions:
- * Ability to work in a variety of environments which may include exposure to
- extreme heat, humidity, fumes or airborne particles, toxic or caustic
- chemicals, loud noise, and all weather conditions.
- Behavioral Traits:
- * Core Competencies
- * Conflict Management – Recognize that conflict can be a valuable part of the
- decision-making process. Comfortable with healthy conflict, and support and
- manage differences of opinion. Use consensus and collaboration to debate
- and resolve issues.
- * Team Management – Create and maintain functional work units. Understand
- human dynamics of team formation and maintenance. Develop and communicate
- clear team goals and roles. Provide guidance and management when
- appropriate. Foster a team atmosphere.
- * Integrity – Think and act ethically and honestly. Apply ethical standards
- of behavior to daily work activities. Take responsibility for their actions
- and foster a work environment where integrity is rewarded.
- * Positive Impact – Make positive impressions on those around them.
- Optimistic and enthusiastic about what they do. Energizes those around
- them.
- * Sensitivity – Value and respect the concerns and feelings of others.
- Communicate empathy toward others, respect for the individual, and
- appreciation of diversity among team members.
- * Talent Development – Keep a continual eye on the talent pool, monitoring
- skills and needs of all team members. Expand the skills of staff through
- training, coaching, and development activities related to current and
- future jobs. Evaluate and articulate present performance and future
- potential to create opportunities for better use of staff abilities.
- Identify developmental needs and assist individuals in developing plans to
- improve themselves.
- * Leadership Competencies
- * Relationship Building/Sensitivity – Able to establish and maintain
- productive relationships. Good at interacting with people and devote
- appropriate time and energy to establish and maintain networks. Utilize
- relationships to facilitate business transactions.
- * Communications – Clear, frequent information. Offer full attention when
- others speak. Actively seek information from a variety of sources and
- disseminate it in a variety of ways. Cleary and articulately convey
- information to others in casual or informal situations. Able to interpret
- body language. Ability to organize and deliver public speeches that
- effectively inform or persuade others. Clearly and concisely composing
- informative and convincing memos, emails, letters, reports.
- * Drive/Energy – Display ah high level of energy and the motivation to
- sustain it over time. Ambitious and passionate about their role in the
- organization. Ability to maintain a healthy work/life balance.
- * Influence – Skilled at direction, persuading and motivating others. Ability
- to flex their style to direct, collaborate, or empower as the situation
- requires.
- * Organizing & Planning – Display strong organizing and planning skills that
- allow them to be highly effective and efficient. Manage their time wisely,
- and effectively prioritize multiple competing tasks.
- * Problem solving & Decision Making – Ability to identify problems, solve
- them, act decisively, and to show good judgement. Isolate causes from
- symptoms. Find balance between studying the problem and solving it.
- Pay & Benefits
- Rate: In accordance with applicable pay transparency laws, the salary range for
- this position is (). Final compensation will be determined based on factors such
- as experience, education, qualifications, and other job-related criteria. This
- pay range is provided to ensure transparency and compliance with local, state,
- and federal regulations.
- * Job Type: Full time
- * For a full list of benefits please visit: anchorharvey.com/benefits
- [https://www.anchorharvey.com/employee-benefits/]
- *This is not a comprehensive list of duties. Duties may change without notice in
- management’s sole discretion. Anchor Harvey is an at-will employer, each
- employee is free to resign at any time, just as Anchor Harvey is free to
- terminate employment at any time without cause or notice.
- Anchor Harvey is an Equal Opportunity Employer. All qualified applicants will
- receive consideration for employment without regard to race, color, religion,
- sex, sexual orientation, gender identity, national origin, disability, or status
- as a protected veteran.
- Join Our World-Class Workforce | Anchor Harvey
- [https://www.anchorharvey.com/careers/]
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Machine learning jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Engineer 3 (AI Foundations)
Capital One · San Jose, California, United States
Lead AI Engineer
PepsiCo · Plano, Texas, United States
AI Engineer (Multiple Roles)
T-Mobile · Frisco, Washington, United States
AI Engineer (On-Site, Indiana Only)
Allied Solutions LLC · Carmel, Indiana, United States
AI Engineer
NetBrain Technologies Inc. · Burlington, Massachusetts, United States
AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)
Capital One · San Jose, California, United States
Role information can change. Confirm current details on the original application page.
