3653 jobs found

Data Recognition Corporation - Maple Grove, MN Please no agencies or third parties Company cannot provide sponsorship for this position, this is W2 not contract Software Development Engineer in Test or Quality Automation Engineer SUMMARY: DRC has more than thirty years of proven experience in reporting and analytics, supporting Educational Technology (EdTech), Federal Research, and Commercial Services. We're committed to being an innovative and disruptive force in the reporting and analytics space as a company. We deliver modern, cloud-based advanced analytics solutions that create value and drive progress. As a company, we embrace a diversity of thought and encourage transparency, accountability, and collaboration to produce the best products and services for our customers. DRC is continuing to grow and is seeking to add Quality Automation Engineers to our organization. As a Quality Automation Engineer, this person will work closely with our project and development teams to deliver industry-leading software applications. We are looking for a collaborative partner with a growth mindset with a minimum of 3 years of experience as a Quality Automation Engineer and a proven track record of building and supporting automation frameworks. This person would have experience in Continuous Integration to succeed in this role. This person should be scripting savvy, capable of supporting test strategies and automation, and fluent in QA best practices . This person should also be able to mentor and support other QA team members as needed and potentially provide maintenance support for existing test cases. RESPONSIBILITIES: Assist in translating business rules and requirements into test scenarios while training others on identifying potential issues. Design, document, and execute data, UI, and system-level test strategies and plans using quality standards and automated test frameworks with QA deliverables that can also be maintained/run by a manual testing team. Provide QA for test-driven and behavior-driven development and testing automation for a CI/CD pipeline. Participate in testing software releases, fixes, and versions, delivering on time with high quality. Manage defects tracking, including detailed triaging of issues and timely requalifying of hotfixes. Partner with the Development, Cloud, Dev Ops, Database Administration, and Product teams as needed. QUALIFICATIONS: 3+ years of related experience. Knowledge of microservices/REST/SOAP concepts and experience scripting to automate API integration testing, preferably with Postman. Experience developing automated functional and performance tests using Playwright, Cypress, Selenium, JMeter or similar. Experience with Shell scripting, e.g., Unix Bash, Microsoft PowerShell, or similar. Experience writing complex SQL queries using Joins and working with database models. Experience with data analysis and validations for ETL/BI reporting systems Experience with one or more of the following data-driven config setups source-target comparisons incremental load testing access controls and data-scoping with row-level-security behavior-driven web UI testings. Preferred Experience (nice to have, not required): Experience QA testing for systems in large-scale enterprise environments. Experience working with multiple BI analytic platforms, e.g., ThoughtSpot, PowerBI, and Tableau. Experience working with cloud technologies, e.g., AWS, Azure, and Google Cloud. Experience working in the EdTech industry. Bachelor's or higher degree, preferably in Information Systems or a related discipline. ESSENTIAL JOB REQUIREMENTS: Excellent organizational, oral, written, and presentational communication skills to work with all levels of staff and management. Familiarity with Microsoft Office, Atlassian, Google suite, and applicable data analytics tools. Ability to consistently perform well during times of increased workload. Set and meet deadlines. Manage multiple job functions simultaneously. DRC retains the right to change or assign other duties to this position No Agencies, Please Company cannot provide sponsorship for this position 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.

Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Safety Data Manager Job Description: The Safety Data Manager is a key team member of the safety team responsible for designing and maintaining safety data reporting environments, analyzing key leading and lagging indicators, and delivering actionable insights that strengthen field execution and enable proactive hazard recognition. Reporting directly to the Vice President of Safety, with focused outcomes. This role plays a critical part in maturing digital safety systems and advancing data-driven safety performance across the organization. Responsibilities DATA COLLECTION & MANAGEMENT Gather, organize, and maintain safety data from multiple sources, including incident reports, field observations, training records, and audits. Ensure accuracy, consistency, and completeness of data within safety systems and reports. Maintain and improve data management processes to support timely decision-making. Develop and deliver fit-for-purpose reference and guidance documents, including training materials, to strengthen competency levels and compliance of reporting. Populate and maintain content on the HITT Construction Safety SharePoint site under the oversight of VP of Safety and Health. INSIGHTS AND REPORTING Maintain, audit, and improve safety data reporting systems and workflows Build executive & field-ready dashboards and analytics report Standardize data capture, taxonomy, and quality controls Automate safety reporting and data workflows Partner with project teams & leadership to turn insights into field actions Support safety performance scorecards & executive reporting cycle Provide recommendations to the VP of Safety and team members that support strategic goals and field engagement Create and maintain dashboards and performance reports for safety metrics such as TRIR, DART, LTIR, SIF, SIF-P, inspections, and corrective actions. Manage data within the company's EHS management platform Assist in digital transformation and automation initiatives to improve data accessibility and workflow efficiency. Develop and issue targeted safety campaign materials for project teams to use. Develop and issue safety-related lessons learned, best practices, and innovative solutions as requested. PROJECT TEAM HEALTH & SAFETY SUPPORT Support the VP of safety in developing executive-level reports and presentations. Serve as a trusted data resource for the Safety Team and operations partners. Participate in safety meetings, strategy sessions, and cross-functional projects to share data-driven insights. Foster a culture of data integrity and continuous improvement within the Safety Team. Partner with business unit leaders, including other data managers, to enhance current systems and tools specific to construction safety metrics and help create and execute a roadmap to predictive analytics for construction safety. Partner with external contractor and consultant companies to assure data collection, metrics, and trend analysis, and management governance forums to review the data are occurring. Qualifications A high school diploma is required. A four-year degree from an accredited construction safety institution is preferred but not required. Experience in construction, engineering, or industrial operations preferred. OSHA 30-hour for construction preferred. First Aid/CPR/AED certification. 2-5 years of experience in safety data analysis, data reporting, or business intelligence. The ability to learn sector- and project-specific software systems is necessary, including, but not limited to, Microsoft Office 365 (Project, Excel, Word, Outlook, PowerPoint), Procore, Adobe Suite, BI Environments, and Bluebeam. Data visualization and dashboarding skills Advance spreadsheet/data modeling capability Ability to automate and report workflows Ability to present insights to field and leadership audiences. HITT Contracting is an equal opportunity employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. HITT Contracting maintains a drug-free workplace, consistent with applicable local, state, and federal laws.

Senior VMware Engineer Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Shape the systems that power our growing business! Join Uline as a Senior VMware Engineer and manage the Windows and VMware environment behind one of the largest e-commerce operations in the U.S. Your expertise will help optimize performance, improve scalability and support business growth. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Design, plan and implement enterprise-wide system solutions in a Microsoft Windows Server and VMware environment. Manage and maintain server software, hardware and related applications and systems. Lead IT Hosting Services initiatives, sharing technical expertise and mentoring associate engineers. Oversee and support Microsoft Active Directory and Azure Active Directory. Document, implement and review IT Hosting Services policies, procedures and solutions. Minimum Requirements Bachelor's degree in Information Technology or related field. 5+ years of experience with multiple operating systems. Demonstrated ability to manage in a matrix and global organization. Excellent communication and collaboration skills. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,000 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Senior Associate, Robotics Software Engineer Job Description: The Research & Development Department's mission is to set the industry standard by finding new materials, methods, and technologies to change the built environment and how we work. The R&D Robotics Software Engineer (Systems Integration) will be responsible for seamlessly integrating disparate software and hardware components to build autonomous robotics solutions that must operate reliably in challenging real-world environments. This team member will support robotics initiatives from concept through completion and coordinate across interdisciplinary teams, including project teams, consultants, hardware developers, software developers, and subcontractors. This team member will report to the R&D Robotics Lead and serve on an interdisciplinary team conducting research and developing novel robotics solutions for construction. The ideal candidate will excel at tackling highly complex integration challenges that simultaneously address software, hardware, networking, and user interface considerations and constraints. They will have a deep understanding of the state-of-the-art in field robotics, perception sensors, and networking hardware and protocols. They will be comfortable learning and integrating new APIs, open-source software packages, and technical standards to bring together disparate technology components into a reliable and seamless solution. They will routinely collaborate with external partners to integrate capabilities, address gaps in functionality, and align development roadmaps. Candidates should be passionate about both robotics and construction, able to learn outside of their trained competency quickly, and excited to roll up their sleeves when needed. Key to this position are strong written and verbal communication skills, project management skills, creative thinking, relationship management, and meticulous attention to detail. Most importantly, candidates should be curious and excited about operating in new territory without fear of failure. RESPONSIBILITIES Lead the systems integration efforts to integrate software and hardware subsystems including both off-the-shelf and in-house developed components. Lead the advancement of reliability and maturity across various robotics use cases, with a particular focus on systems integration, automated data analysis workflows, and intuitive user interfaces. Collaborate with software engineers, hardware engineers, field testing engineers, vendors, partners, and end users to develop reliable robotics solutions. Support the development of the overall robotics software stack including the autonomy, perception, localization, and navigation subsystems. Support field testing and capturing stakeholder feedback on active construction sites. Support the management of project budgets, data analysis, and lessons learned to drive meaningful insights and improvements. Build relationships across operations, site operations, and subcontractors to understand their needs, develop goals, and ensure that robotics initiatives are aligned to the needs of our project teams. Act as brand ambassador for the firm, representing the company in industry and professional organizations. QUALIFICATIONS US Citizenship (as required by several of HITT's Federal Government clients). Bachelor's degree (BA/BS) in robotics, computer science, mechatronics, electrical engineering, mechanical engineering, or related field. Master's degree or 2 years of related experience. Exceptional analytical and troubleshooting skills to systematically isolate and fix complex issues in integrated systems. Deep systems-level understanding of dependencies and real-world constraints of field robotics. Proficiency in C++, Python, Robot Operating System 2 (ROS 2) and related programming languages. Experience developing robotic systems that have been deployed in challenging real-world environments. Experience designing and implementing modular, scalable software architectures. Experience with cross-compilation and deployment of software for multiple architectures. Experience writing and working with software drivers to interface with sensors, actuators, and embedded systems. Familiarity with mobile robot sensing, perception, localization, navigation, and networking for ground and/or aerial robots. Familiarity with containerization technologies (e.g., Docker). Familiarity with communications protocols and peripherals (e.g., RS232/422/485, CAN, TCP/IP). Experience working with a wide variety of stakeholders and strong interpersonal skills. Must be a self-starter, highly motivated, and able to work independently. Detail-oriented, organized, and able to prioritize tasks across multiple projects. Ability to effectively communicate complex technical topics in written and verbal formats to various audiences. Additional experience preferred with robotics simulation environments (e.g., Gazebo, NVIDIA Isaac Sim, Unity) and/or developing software for NVIDIA Jetson devices. Additional experience preferred in designing, fabricating, integrating, and/or maintaining robotic hardware components. HITT Contracting is an equal opportunity employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. HITT Contracting maintains a drug-free workplace, consistent with applicable local, state, and federal laws.

Manufacturing Testing Specialist Findlay Township, PA 12+ Month Contract Pay Range: $36.36/hr. - $39/hr. DOE Monday through Friday 7am to 3:30pm. However, occasionally, the contractor may need to adjust the shift and work different hours (2nd or 3rd shift) as needed. The shift adjustments are not the permanent shift. Role Summary/Purpose We are seeking a dedicated manufacturing testing specialist to join our team. The successful candidate will be responsible for strictly adhering to procedures and protocols for testing of solar inverters, converters, and variable frequency drives including power drive modules, basic drive modules, and medium voltage AC and DC drives. This role involves executing functional testing, developing test labs, and establishing test procedure requirements. Additionally, the manufacturing testing specialist will ensure compliance with the company's quality policy and Environmental Health and Safety (EHS) requirements. Essential Responsibilities Promote safety first culture. Drive zero test defect culture. Candidate must possess the ability to independently troubleshoot equipment and identify solutions by applying technical expertise and product knowledge. Perform full functional testing including insulation and Hi-Pot testing, I/O verification, cooling system functionality, and performance testing. Drive daily continuous improvement in productivity and product quality by identifying manufacturing issues, developing cost-effective solutions, and overseeing successful implementation into production. Participate in the development of processes to ensure manufacturability of equipment, product quality, and successful test execution. Develop test plans for inverters and other electrical equipment including identification of required test equipment. Prepare and develop routine test reports utilizing engineering test templates. Develop and communicate the test design requirements to Engineering for to drive improvement. Ensure proper set up and dismantling of equipment by understanding LOTO process per EHS requirements. Provide test documentation for approval by manufacturing and engineering management. Lead customer witness factory acceptance testing. Participate in third party certification testing. Develop reports to capture lessons learned and track first pass yield data and provide to manufacturing and engineering leadership. Align test methods with respective to IEC and UL standards. Qualifications/Requirements • Bachelor's degree in electrical engineering or related field from an accredited university or college with a minimum 3+ years of experience in equipment testing. • Knowledge of electrical equipment manufacturing and exposure to quality, engineering, lean/5S, testing or engineering processes. • Analytical skillset and systematic approach to problem solving. Desired Characteristics • Customer-focused in product testing and assessing priorities. • Knowledge of IEC and UL certifications and requirements. • Demonstrated ability to motivate team members to achieve results. • Ability to interact positively with cross functional teams. • Demonstrated commitment for process improvement. • Strong oral and written communication skills. • Willingness to work extended hours or modify shift when required.

Senior Computer Engineer - DevSecOps - DCS is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with our multidisciplinary teams formed with exceptional employees. The DCS Air and Space Technology Sector are seeking a qualified candidate to apply advanced knowledge in the areas of DevSecOps, engineering, computer science, and information technology for the technical design, development, and maintenance of complex programming projects supporting the National Air and Space Intelligence Center (NASIC). As a member of our team, you will support U.S. Department of Defense (DoD) and National Air and Space Intelligence Center (NASIC) efforts in Dayton, OH. This offers opportunities to work in a dynamic environment, with state-of-the-art technologies and Subject Matter Experts (SME) to develop solutions to unique client needs in research and development to improve the performance envelope of software and/or hardware systems and architecture, as well as processing performance. Essential Job Functions: Research new capabilities to improve and maintain the performance of existing software/hardware platforms. Design, develop, and prototype these new capabilities. Document capabilities developed and provide user manual. Give technical direction to programming team. Use initiative and independent judgment in developing resolutions to complex issues. Maintain and update platform using DevSecOps principles. Ensure software components remain in compliance with DoD cybersecurity directives. Conduct vulnerability scans, assist with Authority to Operate (ATO) maintenance activities. Work both individually and with a broader engineering team. Additional duties, as required. Requirements: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have an active TS/SCI security clearance with the ability to maintain clearance. At least a MS in Computer Science/Computer Engineering or Information Technology with at least 10 years of related experience. Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information. Experience in object-oriented languages for research, development, and production. Experience automating CI/CD pipelines with security checks. Ability and desire to work in a group environment. Excellent written and verbal English communication skills. Desired Skills: Knowledge and experience working with NASIC software/hardware systems. Project leadership and client interface skills. Knowledge/Experience with tools like Jenkins, Docker, Kubernetes, and security scanners (e.g., Snyk, SonarQube) Knowledge of U.S. DoD and IC tools. Master Degree in Computer Science or a related STEM field. Security+, CompTIA. Have a strong understanding of cloud platforms (AWS, Azure, GCP) Work with subject-matter experts and others to formulate and achieve goals. Guide and mentor teammates as needed. Project leadership and client interface skills.

Ingersoll Rand is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Job Title: CNC Lathe Programmer (2nd Shift) Location: Ivyland, PA (Onsite)(Milton Roy - 201 Ivyland Rd. Warminster, PA 18974) Shift: 2nd Shift Mon - Fri (330pm - 12am) About Us: Imagine a company with technology leadership of over 160 years, yet it operates with the energy of a startup. Ingersoll Rand has dedicated itself to Making Life Better for its employees, customers, shareholders, and planets. We produce innovative and mission-critical flow creation and life science technologies - from compressors to precision handling of liquids, gasses, and powers - to increase industrial productivity, efficiency, and sustainability. Supported by over 80+ brands, our products are used in various end-markets including life sciences, food and beverage, clean energy, industrial manufacturing, infrastructure, and more. Across the globe, we're driving growth with an entrepreneurial spirit and ownership mindset. Learn more at and join us to own your future. Job Overview: We are currently seeking a reliable and detailed individual to join our Machine Shop team. This role will be responsible for setting up, adjusting, programming independently, G-coding, and operating machine tools to create products according to engineering specifications, ensuring high quality and efficiency in a manufacturing facility. A Machinist works with a team to contribute to production goals and operating various machine tools to produce precision parts and components while adhering to safety and quality standards. The ideal candidate is consistent, a team player, a great communicator, and can meet deadlines and prioritize multiple projects. Responsibilities: Set up and run production on all machines while managing tool conditions. Program machines with high complexity, independently utilizing Mazatrol and G and M codes. Follow and develop standard work for setup, inspection, and deburring. Setup and operate machine tools, including lathes, milling machines, grinders, and CNC machines (CNC Horizontal, CNC Vertical, CNC Turning). Set up and operate at least three categories of machines (manual machining, turning centres, milling machines, mill-turn machines, grinders, etc). Select and install appropriate tooling, fixtures, and materials for each job. Use precision measuring instruments such as callipers, micrometers, and gauges to ensure parts meet specified tolerances. Operate machines to manufacture parts, following detailed blueprints, work instructions, and quality standards. Identify and report defects or issues in the machinist process and necessary adjustments or repairs to ensure product quality. Perform routine maintenance on machine tools to ensure they operate effectively and safely. Report any significant machine malfunctions or maintenance requirements to the supervisor. Troubleshoot and diagnose machine issues, making minor repairs or adjustments. Maintain accurate records of production activities, including job setup, run times, and material usage. Report any deviations from specifications or quality issues to the appropriate personnel. Document any issues, defects, or deviations from standard procedures. Complete production logs, work orders, and other required paperwork accurately. Collaborate with colleagues, engineers, and supervisors to optimize processes and resolve production challenges. Participate in team meetings and contribute ideas for continuous improvement. Participate in training programs to improve Machinist skills and product knowledge. Attend monthly EHS trainings. Follow all safety guidelines, including wearing appropriate personal protective equipment (PPE). Report any safety hazards or incidents to supervisors promptly. Requirements: High School Diploma or GED 3+ years' experience in operating CNC machines in a manufacturing environment 2+ years of CNC Programming Core Competencies: Experience using various hand, pneumatic, and power tools, such as screwdrivers, wrenches, drills, and presses Experience in using Precision Measuring tools (Calipers, Micrometers, Gages Etc) Ability to read and understand the bill of materials and work instructions, blueprints, or technical drawings Ability to problem solve, with strong verbal and written communication Demonstrated time management skills, strategic thinking, and adaptability Lift a maximum of 35 lbs for an individual and 70 lbs for a team lift Test PSI limit no greater than 30,000 Preferences: 2+ years' experience in manufacturing or other fast paced operations, preferred General computer knowledge (i.e. log on credentials (SSO), JD Edwards, and Microsoft Outlook) Program machines with high complexity, independently utilizing Mazatrol and G and M codes. Travel & Work Arrangements/Requirements: This position will be based at our site in Ivyland, PA no travel. What we Offer: At Ingersoll Rand, we embrace a culture of personal ownership - taking responsibility for our company, our communities, and our environment, as well as our individual health and well-being. Our comprehensive benefits package is designed to empower you with the tools and support necessary to take charge of your health, ensuring that together, we can continue to make life better. Our range of benefits includes health care options like medical and prescription plans, dental and vision coverage, as well as wellness programs. Additionally, we provide life insurance, a robust 401(k) plan, paid time off, and even an employee stock grant, among other offerings. These benefits are our commitment to you, so you can be your best at work and beyond. Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit . PandoLogic. Category:Manufacturing,

Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

Individuals assigned to the Machine Shop shall be able to use blueprints, drawings, sketches, or computer-aided design (CAD) and manufacturing files to program by using computer software such as Mastercam CAD/CAM, SolidWorks, and/or Fusion 360 for the Computerized Numerical Control machines and operate CNC machines to produce precision metal or plastic parts. Must also set up different types of equipment that are controlled by computers to accomplish goals with accuracy while maintaining high level of production rates. Operating the conventional milling machines, lathes, drill presses, and band saws as required to manufacture new products and/or repair or rework parts in accordance with engineering instructions and drawings. Basic Qualifications : Service Orientation: Passionate, effective demeanor in interactions with Guests and Cast Members Receptive to special requests Committed and reliable (reports for scheduled shifts) Encouraging of other Cast Members working on your team Detail oriented Ability to complete repetitious tasks while maintaining quality Ability to address and build appropriate solutions Interpersonal Skills and Abilities: Excellent written and verbal communication skills Capable of easily explaining sophisticated issues and procedures to others Excellent computer skills using MS Office or similar programs Additional Information : SUBMITTING YOUR APPLICATION After clicking " Apply for this job " below, the employment application will open in a new window. Please complete ALL pages of the application by clicking " Next " on each page, then " Submit " on the final page. SCHEDULE AVAILABILITY Shifts are typically at night, and individuals must have availability to work Sunday through Saturday, any shift (1st, 2nd, and 3rd shift) including holidays, and must be open to any days off. KEYWORD: DLR Casting, dlrcasting, Disneyland Resort Casting Hourly Jobs , DLRResortRoles, DLR Resort Roles, CNC, Milling, Machine, Programming The pay rate for this role in California is $41.11 to $50.05 per hour, which follows the pay scale agreed upon in the Collective Bargaining Agreement. The base pay actually offered may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: .

Job ID: 705786BR Date posted: Jan. 06, 2026 Description:THE WORK The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. WHO WE ARE At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++ decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more Basic Qualifications: A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. Plus 5 years experience deploying machine learning algorithms is required. Or A Masters degree may be substituted with 5 additional years experience deploying machine learning algorithms, if a relevant Bachelor's Degree is present. Demonstrated abilities in software engineering and AI/ML model test and evaluation. TS/SCI w/poly Desired Skills: Expert knowledge of multiple programming languages (i.e. Python, Java, C++) is a plus. Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $128,200 - $225,975. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Cutting Edge Technology! This Jobot Job is hosted by: Lincoln Sprague Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $145,000 - $190,000 per year A bit about us: We are a cutting edge cybersecurity company that focuses on creating hardware and software communications solutions for the defense sector. If you are a dedicated embedded software engineer who is ready to take on the toughest technical challenges please apply today! Why join us? Top Tier Benefits Large Bonus Potential Free Gym Program Job Details Job Details: We are seeking a highly skilled and motivated Embedded Software Engineer to join our dynamic and innovative team. This is a permanent position where you will be working on cutting-edge technology projects that revolutionize our industry. The successful candidate will be responsible for designing, developing, and testing embedded software systems, with a focus on Yocto, Embedded Linux, Microprocessors, and cryptography theory. If you are passionate about technology, thrive in a fast-paced environment, and have a strong desire to make a significant impact, we want to hear from you. Responsibilities: 1. Design, develop, and test embedded software systems and ensure their robustness, reliability, and safety. 2. Work on all phases of software development life cycle, from requirement analysis, design, coding, testing, debugging, and maintenance. 3. Utilize your expertise in Yocto, Embedded Linux, Microprocessors, and cryptography theory to develop innovative solutions. 4. Collaborate with multidisciplinary teams to define software specifications and requirements. 5. Participate in code and design reviews to maintain our high development standards. 6. Troubleshoot and resolve software defects and other technical issues. 7. Write clear, maintainable, and efficient code. 8. Stay updated with the latest technological trends and apply them into operations and activities. 9. Provide technical guidance and coaching to developers and engineers. Qualifications: 1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 2. A minimum of 5 years of experience in embedded software development. 3. Proficient with Yocto, Embedded Linux, Microprocessors, and cryptography theory. 4. Solid understanding of the software development life cycle. 5. Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems. 6. Strong troubleshooting and problem-solving skills. 7. Excellent knowledge of reading schematics and data sheets for components. 8. Strong documentation and writing skills. 9. Ability to work in a team-oriented, collaborative environment. 10. Excellent communication skills, both verbal and written. 11. Strong attention to detail, with a commitment to high quality and accuracy. 12. Ability to manage multiple tasks, prioritize effectively, and meet deadlines. 13. Self-motivated and capable of working with minimal supervision. This is an exciting opportunity to work with a team of talented engineers and make a significant contribution to our future projects. If you are a self-starter who is excited about technology and enjoys working in a fast-paced, team-oriented environment, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

NEW AI Founding Engineer Opportunity-Build a startup! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a startup AI company based in Los Angeles looking to bring on 2 full stack engineers to the team! Ideally, we are looking for an AI Founding Engineer with a strong startup background, and a mid level engineer with strong AI experience. These are remote positions. Please contact me for further information! Why join us? Huge opportunity for growth Startup with existing relationships Build a startup Work within AI-the future of our world Exciting industry Job Details Job Details: We are seeking a Founding AI Full Stack Engineer. This is a permanent, full-time position where you will work on cutting-edge technologies and AI solutions. The successful candidate will be responsible for developing and implementing a range of AI-driven applications and systems. This role is perfect for someone who thrives in a startup environment and is eager to leverage their skills in AI, AWS, React, UI, llms, Anthropic, email ingestion, calendar orchestration, integration architecture, and secure enterprise automation to solve complex business problems. We are looking for someone that is a tech entrepreneur! Responsibilities: 1. Design and implement AI-driven solutions that align with our business needs and objectives. 2. Connect with core enterprise integrations (Gmail, Outlook, Zoom, Twilio, Google Maps, Slack, and others) 3. Utilize React to develop user-friendly UIs for our applications. 4. Implement llms and Anthropic for efficient learning and decision-making processes. 5. Develop and manage email ingestion and calendar orchestration to streamline our internal operations. 6. Design and implement integration architecture for seamless data flow between different systems. 7. Ensure secure enterprise automation across all our applications and systems. Implement security-first engineering practices (SOC2-aligned infra, OAuth2, role-based access, audit logs). 8. Collaborate with cross-functional teams to ensure our solutions are scalable and meet the needs of our clients. 9. Stay updated on the latest AI trends and technologies and apply this knowledge to our operations. 10. Troubleshoot and resolve any issues that may arise in our AI systems and applications. Qualifications: 1. A bachelor's degree in Computer Science, Engineering, or a related field. 2. 5+ years of experience as a Full Stack Engineer, with startup experience. 3. Proven experience with AI (OpenAI-Chat GPT 4/5), Anthropic, Fast API, Python, TypeScript/Node.js, OAuth2, AWS, admin automation 4. Strong knowledge of AI principles and technologies. 5. Excellent problem-solving skills and the ability to think critically and innovatively. 6. Strong communication skills and the ability to work effectively in a team. 7. Ability to handle multiple tasks simultaneously and meet tight deadlines. 8. Knowledge of the latest trends and technologies in AI and full stack development. 9. Strong leadership and decision making skills 10. Entrepreneur with a passion to build This is a fantastic opportunity for a seasoned Full Stack AI Engineer to join a fast-paced, innovative company and make a significant impact on our AI-driven solutions. If you have the necessary skills and experience and are ready for a new challenge, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.