Senior AI Application Developer

Senior AI Application Developer

Waukesha, Wisconsin

Silgan is seeking a Senior AI Application Developer to help advance our enterprise AI transformation across a global manufacturing organization. This is a hands‑on engineering role for an experienced developer who can design, build, deploy, and support production‑grade AI applications that connect employees to the data, knowledge, and insights they need to make faster, better decisions.

You will work across intelligent knowledge retrieval, agentic workflow automation, enterprise system integration, and responsible AI governance. A working AI platform is already in pre‑production, giving you the opportunity to expand and harden real capabilities from day one while helping build durable AI engineering expertise across the broader development team.

At Silgan, employees are part of a financially strong, global packaging leader supporting many of the world's most recognized consumer brands. Our Business Technology team is investing meaningfully in AI, creating an opportunity to apply emerging technology to real operational challenges across production, supply chain, quality, finance, and other enterprise functions.

• Competitive compensation based on experience, skills, education, and market conditions
• Comprehensive medical, dental, vision, life, disability, and AD&D coverage
• Telemedicine access and supplemental employee benefit programs
• 401(k) with employer match after the eligibility period
• Generous paid time off plus company-paid holidays
• Tuition reimbursement and support for certifications and continuing education
• A collaborative environment with opportunities to influence Silgan's evolving AI strategy
• The stability of a global, publicly traded organization with long‑term career potential

As the Senior AI Application Developer, you will build and operationalize AI-powered applications while partnering with development, data, infrastructure, security, compliance, and business teams. You will help move AI capabilities from prototype through production with the controls, monitoring, and engineering discipline required in a complex enterprise environment.

• Architect and develop production‑grade AI applications, including agentic systems, intelligent search, automated reporting, and operational decision‑support tools
• Build AI agents capable of multi‑step reasoning, tool use, function calling, and workflow execution across enterprise systems
• Develop retrieval‑backed AI capabilities and RAG pipelines that connect structured data, documents, technical content, and operational knowledge
• Build hybrid solutions that combine deterministic data processing with AI‑generated analysis, narrative, and anomaly detection

• Integrate AI capabilities with ERP platforms, data warehouses, production systems, and business applications using secure, reliable API and connector patterns
• Develop across a multi‑language platform spanning Python, C#/.NET, and Type Script and contribute across backend services, agent runtimes, and modern web interfaces
• Apply strong SQL and relational data skills to AI-driven analysis of large operational databases
• Design integrations with enterprise authentication and identity controls, including OAuth2/OIDC, JWT, Active Directory, and least‑privilege access patterns

• Design and enforce AI guardrails including access controls, output validation, prompt safety, data protection, hallucination mitigation, and human approval gates
• Implement LLMOps practices such as prompt versioning, model and quality evaluation, token…