Imagine yourself… - Doing meaningful work that makes an everyday impact on the world around you. - Growing your expertise and expanding your skillset with every project. - Thriving in a supportive team environment that inspires you to strive for excellence. Headquartered in Broomfield, Colorado, TraceGains, a Veralto company, connects people and information so teams can work smarter. As a global technology company, we provide networked innovation, quality, and compliance solutions to consumer brands that want to reduce supply chain risk, speed up business processes, and take control of data. TraceGains operates as a fully remote company! At TraceGains, we believe “we’re in this together,” and our goal is to provide the most innovative solutions in the industry. We are in the game to change the industry, and with the help of our ever-growing TraceGains Network, we have created the CPG industry’s first networked ingredients marketplace. We also know that innovation and ingenuity start with prioritizing a diverse workforce and a deeply inclusive workplace. We encourage people from all backgrounds to apply to our positions. TraceGains is at a pivotal moment in our AI transformation journey. We’ve proven initial success with Intelligent Document Processing and defined a clear 3-year AI strategy that will revolutionize how the global food and beverage supply chain operates and innovates. We now need an experienced AI leader to build the foundational data, MLOps, algorithms, agents, and infrastructure that will accelerate our AI initiatives and scale our capabilities across the organization. Reporting to the Senior Vice President, Engineering, the Head of AI will lead the strategy, architecture, design, build, and evolution of TraceGains’ next‑generation Agentic AI data platform. The successful candidate will enable self‑service for data science and engineering teams, establish privacy‑first governance and production‑grade MLOps practices, and lay the foundation for scalable, reliable AI delivery across all TraceGains’ products. You'll build and lead a platform team of both data engineers and AI/ML engineers, establishing TraceGains as a leader in AI-driven and agentic supply chain intelligence. A critical part of this role is making sound, budget-conscious platform decisions—explicitly balancing accuracy, latency, reliability, and total cost of ownership as we scale. You will lead technically-grounded AI governance and policy discussions (privacy, security, risk, and compliance) and translate them into practical engineering standards and enforceable controls. You will also establish robust data and evaluation foundations—building scalable dataset pipelines (including synthetic data where appropriate) and repeatable evaluation/benchmarking for both generative AI (RAG/agents) and classical ML. In this role, a typical day will look like: - Architect a scalable, multi-tenant agentic AI data platform using the Azure technology stack. - Design a hybrid data architecture supporting operational systems, agentic AI workloads, and a knowledge graph - Build infrastructure utilizing vector and graph databases for RAG applications and semantic search - Design and implement comprehensive MLOps platform including deployment management, AI security and safety, and observability on Azure supporting the full ML lifecycle from experimentation to production. - Build automated pipelines using Azure technologies for continuous integration and deployment - Implement real-time inference infrastructure with monitoring, alerting, and automated drift detection - End-to-end lifecycle management including hydration from existing taxonomies/ontologies - Develop high-performance graph query services and APIs for real-time access to supply chain relationships - Deploy automated validation, conflict resolution, and data quality monitoring to ensure graph consistency and accuracy - Implement Infrastructure as Code (IaC) and build CI/CD pipelines for data products and ML models - Set and enforce platform standards for cost control, model/runtime selection, and performance targets (including budgeting, attribution, and optimization for training + inference). - Lead AI governance with Security/Legal/Privacy, turning policy into technical controls (access, auditability, guardrails, retention, and risk management). - Build scalable data + evaluation systems: synthetic dataset generation where appropriate, automated benchmarks, and release quality gates for RAG/agents as well as classical ML. - Create self-service capabilities with comprehensive monitoring and observability - Drive engineering delivery improvements through AI-based code analysis to improve quality, maintainability, and general code health. - Drive engineering efficiency improvements through best practices and adoption of AI-assisted coding tools and capabilities. - Stay on top of new research including cutting edge AI technology. - Democratize AI through TraceGains teams for adoption and deployment across the platform. The essential requirements of the job include: - Master's degree in Computer Science, Data Engineering, or related field (or equivalent experience), Ph.D. is a plus. - 10+ years building enterprise data and AI platforms in production environments - 2-3 years driving LLM adoption for Generative AI use cases - 1+ year(s) of building agentic systems including deployment of MCP servers to enable agentic AI. - Proven ability to lead cost-aware AI delivery, technically grounded governance decisions, and large-scale evaluation/data practices. - Proven track record designing and implementing MLOps platforms - Experience with Pipelines, model monitoring, and drift detection - Experience with graph databases, and vector databases to support RAG - Ability to drive CI/CD for ML, security, safety, monitoring, and observability - Proven ability to establish shared platform capabilities that serve multiple product teams - Proven ability to deliver AI capabilities into production - Strong communication skills with ability to present to executive leadership - Track record of cross-functional collaboration with AI product teams, ML, and business stakeholders - Experience establishing technical standards and governance frameworks across distributed teams - Ability to be a team player, willing to grow and change and drive change into the organization in a positive and constructive manner. - Experience mentoring technical teams (data engineers, AI/ML engineers, and platform engineers) - Occasional travel required for department meetings, all company events, in-person seminars/networking events, etc. - Successful completion of a drug and background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit screening, where applicable and in accordance with federal and local regulations. Nice To Have Qualifications: - Experience building AI teams from 0 to1 - Experience developing and fine-tuning foundational models - Experience with infrastructure automation (IaC) via Terraform or similar technology - Proficient with Docker and Kubernetes - Experience with supply chain, food safety, or regulatory compliance domains - Multi-cloud architecture experience with Azure as primary and AWS/GCP familiarity - Knowledge of LLMs, RAG architectures, and advanced NLP applications - Open source contributions to ML or data platform tools - Experience with knowledge graphs and ontology management - Background in privacy-preserving ML techniques and federated learning TraceGains is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto’s vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you’ll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we’re Safeguarding the World’s Most Vital Resources™—and building rewarding careers along the way. US ONLY: The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $250,000 - $300,000 USD per year. This job is also eligible for Bonus Pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: Remote position with 6 weeks of on-site training during the day. Candidates must live within commuting distance to the UPS facility. Why You’ll Love This Role Build your career in international trade and customs compliance with a global logistics leader. After completing 6 weeks of onsite, instructor-led training, you’ll transition into a fully remote role with opportunities for advancement, skill development, and long-term stability. This position is perfect for someone who is detail-oriented, enjoys problem-solving, and wants to grow in an essential industry. About the Role As a Customs Brokerage Specialist II, you will review import documentation, troubleshoot discrepancies, classify goods using the Harmonized Tariff Schedule, and ensure shipments meet federal regulatory requirements. You’ll communicate directly with customers, carriers, and international partners to keep freight moving efficiently and compliantly. What You’ll Do - Prepare and process customs entries accurately and on time - Review and audit commercial documents; identify and resolve discrepancies - Apply correct HTS (Harmonized Tariff Schedule) codes for duty assessment - Communicate documentation needs with customers and foreign origins - Coordinate freight forwarding and delivery with domestic and international carriers - Submit customs entries via GBS-CM in a timely manner - Scan and upload documentation into internal imaging systems - Prepare reports, presentations, and database-driven analyses - Maintain strong relationships with clients through proactive, clear communication - Support weekend or holiday work on a rotational basis, as needed What We’re Looking For - High school diploma, GED, or international equivalent - Basic understanding of U.S. customs operations, regulations, and government agencies - Familiarity with HTS codes or tariff classification (preferred but not required) - Strong computer skills and comfort with data entry - Excellent verbal and written communication skills - Ability to troubleshoot and resolve documentation issues Training & Commitment Requirements To ensure success and proficiency: - 6 weeks onsite training (required) - 6-month lock-in period after hire to complete all training - 1-year product lock-in to maintain continuity and skill proficiency After training is complete, this is a fully remote position. Schedule - Full-time - Must be available for potential weekend or holiday coverage based on rotation and business needs Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Other Criteria: UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law. Basic Qualifications: Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Architectural Solutions Consultant (ASC) is a national subject-matter expert responsible for driving growth of demountable wall solutions through strategic partnerships, lead generation, and technical opportunity support. This role builds and maintains industry relationships, supports Furniture Account Executives (FAEs) on wall opportunities, and ensures seamless connection between customer needs, our wall manufacturer, design feasibility, and sales execution. The ASC plays a dual role: strategic sales enablement and technical advisory, ensuring our demountable wall offering is positioned competitively and successfully across the U.S. Duties & Responsibilities - Build and manage national strategic partnerships (manufacturer, A&D, GC, etc.) that generate qualified demountable wall opportunities. - Serve as the primary technical advisor to FAEs on all demountable wall opportunities, from early qualification through close. - Provide conceptual design guidance, solution feasibility, and pricing recommendations while partnering with internal designers and manufacturer resources for full layouts. - Support opportunity strategy, positioning, and competitive differentiation to increase win rates. - Review architectural drawings, specifications, and customer requirements to ensure accurate scoping and solution alignment. - Partner cross-functionally with Merchandising, Category Ops, PM, and Installation to ensure end-to-end solution quality and delivery readiness. - Maintain strong product knowledge across key wall systems, competitive products, and market trends. - Create a repeatable national engagement model that improves process consistency, handoffs, and pipeline visibility. Qualifications - 3+ years of experience in architectural wall systems, modular construction, furniture systems, or related design/technical sales. - Proven success in building strategic partnerships and driving sales pipeline. - Strong understanding of architectural drawings, construction terminology, electrical/mechanical interfaces, and structural considerations. - Ability to read and review CAD drawings, architectural spec books, and installation requirements. - Excellent communication skills (executive presentations, customer conversations, and detailed technical communication). - Strong business and financial acumen; ability to influence through data. Requirements - 7+ years of experience in architectural wall systems, modular construction, furniture systems, or related design/technical sales. - Experience supporting a national sales organization. - Connections within A&D, construction, GC, and architectural product networks. - Familiarity with CET, AutoCAD, Revit, or similar design platforms (internal designers can own full design). - Experience with demountable wall pricing tools and manufacturer product lines. Company Description Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

• Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model and LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement. • Design, build, and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data. • Implement RAG pipelines using vector databases and embedding strategies. • Fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks. • Lead the end-to-end lifecycle of AI models from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP).