AI/ML Software Engineer II (Enterprise Production Systems)

Join Niagara Bottling, a leading beverage manufacturer built on the mission of providing high-quality affordable beverages since 1963. Through innovation, collaboration, and a shared commitment to embracing adventure, we are revolutionizing the beverage manufacturing industry while creating opportunities for Team Members to make an impact. Together, we are connected by possibility. AI/ML Software Engineer II (Enterprise Production Systems) The AI Software Engineer II / IT Developer II will be a key member of our Integration and Middleware Development team, with a strong hands-on focus on AI/ML-driven engineering solutions. The ideal candidate will bring practical experience designing, building, and deploying AI/ML and Generative AI capabilities within enterprise systems, while also contributing to scalable integration and middleware platforms. This role requires hands-on experience applying machine learning, Generative AI, and intelligent automation techniques to solve real engineering and business problems — including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns. The candidate should demonstrate practical experience working with ML models, LLM-based solutions, data pipelines, and AI-powered system enhancements. The candidate will specialize in designing, developing, and maintaining scalable APIs, microservices, and middleware technologies while embedding AI/ML capabilities into enterprise integration workflows. Strong expertise in Node.js, Python, modern microservices architectures, and API design patterns is expected. The Developer will collaborate closely across the IT Department with full-stack, data science, database, and ERP teams, as well as cross-functional business partners to deliver intelligent, scalable, and AI-enabled enterprise solutions. Essential Functions • Execute established Software Development Life Cycle (SDLC) processes. • Collaborate with business analysts and stakeholders to develop software solutions aligned with business processes, data usage, and system flows. • Create detailed process flows, high-level functional designs, and technical design specifications based on business requirements. • Write clean, scalable, efficient, and testable code. • Deploy software solutions and proactively evaluate user feedback. • Troubleshoot, debug, maintain, and upgrade existing systems and applications. • Adhere to enterprise standards and development guidelines, including documentation, version control, testing, and migration practices. • Plan, track, escalate, and deliver assigned tasks effectively and on schedule. • Provide reliable customer support for critical application issues. • Collaborate effectively with onsite and offshore teams. • Continuously enhance job knowledge by exploring state-of-the-art development tools, programming techniques, and industry trends. • Communicate proactively with internal and external partners. • Participate in scheduled and off-hours support rotations as needed. Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time. Additional Expectations: • Analyze and develop technical solutions aligned with business and customer requirements • Exhibit strong analytical, problem-solving, and critical-thinking skills • Demonstrate the ability to translate complex business and technical needs into actionable solutions • Effectively manage multiple priorities and concurrent projects • Possess strong written and verbal communication skills, including detailed documentation of technical incidents and processes • Work independently while maintaining strong team-oriented interpersonal skills, including collaboration, facilitation, and effective interfacing with diverse groups • Maintain a high degree of professionalism and business judgment • Deliver effective and professional presentations to peers, management, and technical professionals • Proficient with standard productivity tools such as Microsoft Office and Outlook • Exhibit excellent interpersonal skills, organizational proficiency, and planning capabilities • Experience with DevOps practices and CI/CD pipelines is a plus Qualifications Minimum Qualifications: • 4-5 Years – Hands-on experience designing and implementing AI/ML/GenAI solutions, including: • Building and integrating machine learning models into production systems • Working with Large Language Models (LLMs), prompt engineering, or AI-assisted automation • Implementing intelligent monitoring, anomaly detection, predictive workflows, or AI-driven error handling • Applying AI/ML to engineering productivity, automation, or enterprise system enhancements • Demonstrated practical implementation, not just conceptual knowledge • 4-5 Years – Cloud technologies experience (Azure preferred, AWS acceptable), including deployment of AI/ML or data-driven services • 4-5 Years – Experience with Enterprise Integrations and middleware development (MuleSoft) • 4-5 Years – Experience with Node.js and Python development (including experience using Python for data processing, ML workflows, or AI integration) • 4-5 Years – Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns • 3 Years – Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration • Experience may include a combination of work experience and education *experience may include a combination of work experience and education Preferred Qualifications: • 6 Years – Hands-on experience designing, training, fine-tuning, or integrating AI/ML/GenAI solutions in production environments • Experience working with: • LLM frameworks and AI platforms (Azure OpenAI, OpenAI, Hugging Face, etc.) • Model lifecycle management, evaluation, or monitoring practices • AI-powered automation or intelligent workflow orchestration • Data preprocessing, feature engineer