Enterprise Applications AI

Colgate • Piscataway, NJ

4d • $145,000 - $170,000 • Hybrid

About The Position

As the Enterprise Apps & AI Lead on the Enterprise Data Applications team, you will lead Full Stack Developers and Solution Architects who design, build, and operate business-facing web, AI-powered, and simulation applications, backend architectures, and advanced analytics systems. These solutions support Finance, Supply Chain, Global Technology (R&D), Sustainability, and Master Data domains. You will set technical direction for a growing portfolio of applications and partner with cross-functional teams to deliver scalable, secure, user-centric solutions aligned with the global roadmap.

The role combines hands-on technical leadership with people leadership. You will guide architecture and delivery, connect complex business processes to robust end-to-end designs using test-driven methodology, and promote engineering quality across frontend, backend, AI, and DevOps. Prior knowledge of the company’s domains or applications is not required; the role requires deep, current expertise in the technical stack and the ability to quickly learn the applications. The ideal candidate leads by influence, mentors senior engineers and architects, and considers security, performance, cost, and user experience in design decisions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Mathematics, Engineering, or a related field.
• At least 3 years of experience leading engineering teams, including Full Stack Developers and Solution Architects, delivering business-facing applications at enterprise scale.
• At least 5 years of backend development experience using Python, with demonstrated expertise in Django or Django REST Framework.
• At least 3 years of experience with cloud platforms such as GCP, AWS, or Azure.
• At least 3 years of experience with relational databases such as PostgreSQL or MySQL.

Nice To Haves

• Hands-on experience delivering production AI-enabled applications, including LLMs, prompt engineering, RAG patterns, vector databases, and orchestration frameworks such as LangChain or LangGraph.
• In-depth knowledge of JavaScript, HTML, and CSS.
• Demonstrated expertise developing user interfaces with reactive JavaScript frameworks such as React.
• Experience across the full product lifecycle, from design and development through deployment and maintenance.
• Ability to apply test-driven development practices to complex engineering challenges.
• Knowledge of security best practices and design patterns, and familiarity with static and dynamic application security and code analysis tools.
• Experience working on Agile/Scrum development teams.
• Strong diagnostic and troubleshooting skills across application, data, and infrastructure layers.
• Experience productionizing AI/ML systems at scale, including MLOps, model deployment, observability, and cost management.
• Experience with LLMOps, agent frameworks such as LangChain or LangGraph, 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, including SAP/ERP data, event-driven architectures, and secure API design in large, regulated organizations.

Responsibilities

• Lead, coach, and grow a team of Full Stack Developers and Solution Architects delivering web, AI-enabled, and simulation applications for Finance, Supply Chain, Global Technology (R&D), Sustainability, and Master Data.
• Own the technical roadmap for enterprise applications, including Dashlab, Dashpet, DashAI, Connected Compliance, Pricing Condition Workflows, Toothpaste Capacity Unlock, Sourcing AI, and other AI applications; partner with internal teams and external partners on architecture, integrations, and delivery.
• Partner with senior business stakeholders across 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 owned applications.
• Drive continuous improvement in test coverage, code quality, performance, and platform reliability across the team’s codebases.
• Provide hands-on technical leadership in critical design reviews, code reviews, incident response, and re-architecture initiatives, especially for AI/LLM-powered features.
• Comply with all policies and standards.

Benefits

• Medical, dental, and vision coverage.
• Basic life insurance.
• Paid parental leave.
• Disability coverage.
• 401(k) retirement plan with company matching contributions, subject to eligibility requirements.
• At least 15 vacation/PTO days for salaried employees.
• 13 paid holidays.
• Paid sick leave adjusted based on role and location in accordance with local laws.
• Salaried employees may be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager