No Relocation Assistance Offered
Job Number #176700 - Piscataway, New Jersey, United States
Role SummaryAs the Enterprise Apps & AI Lead on the Enterprise Data Applications team, you will lead the Full Stack Developers and Solution Architects who design, build, and operate our business-facing web, AI-powered, and simulation applications, backend architectures, and advanced analytics systems supporting our Finance, Supply Chain, Global Technology (R&D), Sustainability, and Master Data domains. You will set the technical direction for a growing portfolio of applications - including Dashlab, Dashpet, DashAI, Connected Compliance, Pricing Condition Workflows, Toothpaste Capacity Unlock, Sourcing AI, and other AI-enabled apps (including support for Union ML initiatives) - and partner with cross-functional teams to deliver scalable, secure, and user-centric solutions that align with our global roadmap.
This role blends hands-on technical leadership with people leadership. You will guide the team on architecture and delivery, tie complex business processes to robust end-to-end designs using test-driven methodology, and raise the bar for engineering quality across frontend, backend, AI, and DevOps. Prior domain or application knowledge is not required - we expect you to come up to speed on our applications quickly - but deep, current expertise in our technical stack is a must. The ideal candidate is a seasoned, self-motivated technologist who can lead by influence, mentor senior engineers and architects, and consider security, performance, cost, and user experience implications in every design decision.
Responsibilities- Lead, coach, and grow a team of Full Stack Developers and Solution Architects delivering web, AI-enabled, and simulation applications for our Finance, Supply Chain, Global Technology (R&D), Sustainability, and Master Data domains.
- Own the technical roadmap for a broad portfolio of enterprise applications - including Dashlab, Dashpet, DashAI, Connected Compliance, Pricing Condition Workflows, Toothpaste Capacity Unlock, Sourcing AI, and other AI apps (including support for Union AI initiatives) - and partner with internal teams and external partners on architecture, integrations, and delivery
- Partner with senior business stakeholders across all supported domains to translate strategic priorities into engineering plans that ship reliably
- Set and enforce engineering standards for architecture, code quality, security, DevOps, testing, and observability across all owned applications
- Drive continuous improvement in test coverage, code quality, performance, and platform reliability across every code base the team owns
- Provide hands-on technical leadership in critical design reviews, code reviews, incident response, and re-architecture initiatives - especially for AI/LLM-powered features
- Complies with all policies and standards
Basic QualificationsBachelor's degree in Computer Science, Information Technology, Mathematics, Engineering, or a related field- 3+ years of experience leading engineering teams (Full Stack Developers, Solution Architects) delivering business-facing applications at enterprise scale5+ years of experience in backend development using Python, with demonstrated expertise in Django or Django REST Framework3+ years of experience working with cloud platforms such as GCP, AWS, or Azure3+ years of experience with relational databases (e.g., PostgreSQL, MySQL)
Preferred QualificationsHands-on experience delivering AI-enabled applications in production, including working with LLMs, prompt engineering, RAG patterns, vector databases, and modern orchestration frameworks (e.g., LangChain, LangGraph, or similar)
In-depth knowledge of core web technologies, including JavaScript, HTML, and CSSDemonstrated expertise in developing user interfaces using reactive JavaScript frameworks such as ReactExperience across the full product lifecycle, from design and development through deployment and maintenanceProven ability to apply test-driven development practices to complex engineering challengesKnowledge of and experience applying security best practices and design patterns, as well as familiarity with static and dynamic application security and code analysis toolsExperience working on Agile/Scrum development teamsStrong diagnostic and troubleshooting skills across application, data, and infrastructure layersExperience productionizing AI/ML systems at scale, including MLOps, model deployment, observability, and cost management.- Experience with LLMOps, agent frameworks (e.g., LangChain, LangGraph, or similar), and integrating enterprise data catalogs into AI applications.Experience leading distributed engineering teams across multiple concurrent product streams and shaping engineering culture at scale.Experience with enterprise integration patterns (SAP/ERP data, event-driven architectures, secure API design) in large, regulated organizations.
Compensation and BenefitsSalary Range $145,000.00 - $170,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
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