Sr. Director, AI Software Engineering & Integrations

Breakthru Beverage Group•Cicero, IL

7d•$175,000 - $215,000

About The Position

Breakthru Beverage Group is undergoing an enterprise transformation to modernize its technology landscape, simplify enterprise integrations, and accelerate AI-driven innovation. The company is building a cloud-native ecosystem using SAP S/4HANA, Snowflake, AWS, and next-generation AI capabilities. The Sr. Director will establish and lead a modern software engineering capability, shaping its operating model, organization, technology stack, engineering standards, and delivery practices. The role will champion forward-deployed engineering, embedding developers alongside business teams to deliver applications, AI-powered workflows, and automation. It will also promote AI-assisted development with coding agents and modern engineering practices. The role will lead the enterprise integration ecosystem, including APIs, event-driven architecture, EDI, and AI agent integration, partnering with business and technology teams to deliver scalable solutions and measurable business outcomes.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
10 or more years of experience in enterprise integration, software engineering, or platform engineering, including 8 or more years in technical leadership roles.
Proven experience building and leading engineering teams delivering enterprise integrations, APIs, applications, and digital solutions.
Deep expertise in enterprise integration architectures, including REST APIs, event-driven patterns, EDI/B2B integration, and API management.
Hands-on experience with leading iPaaS platforms, including MuleSoft, and cloud platforms, including AWS.
Experience designing and operating mission-critical enterprise integration platforms, including SAP integration, API orchestration, and EDI modernization.
Strong technical foundation in modern software engineering, including cloud-native development, microservices, distributed systems, and languages such as Python, Java, or TypeScript.
Practical experience with AI-assisted development tools such as Claude Code, AWS Kiro, GitHub Copilot, or Cursor; coding agents; and automation across the software development lifecycle.
Experience leading agile, product-oriented, or forward-deployed engineering teams delivering measurable business outcomes.
Familiarity with AI architectures, including LLMs, agentic workflows, MCP, RAG, and secure enterprise integration.
Strong understanding of DevSecOps, CI/CD, automated testing, infrastructure as code, and observability.
Experience leading complex enterprise transformation initiatives across cloud, ERP, integration, or digital platforms.
Strategic, hands-on leadership with strong architectural judgment, stakeholder management, communication, and execution skills.
Ability to develop complex, multi-project communication plans that account for IT goals, priorities, and resource constraints.
Ability to anticipate significant problems, resolve most with minimal input, develop creative and feasible solutions to advanced problems, advocate for proposed solutions, and develop processes for them.
Decisiveness, strategic planning, ability to manage multiple tasks and deadlines, excellent problem-solving skills, strong business and budgeting acumen, and composure under stress or uncertainty.

Nice To Haves

Experience in large Consumer Packaged Goods (CPG), beverage, retail, distribution, logistics, or supply chain organizations.
Master's degree in Computer Science, Information Systems, Engineering.

Responsibilities

Define and execute the enterprise integration roadmap, architecture, standards, and governance for secure, scalable, API-first and event-driven connectivity.
Lead the design, delivery, and operation of integrations, APIs, event streaming, managed file transfer, and EDI capabilities connecting SAP, Snowflake, Salesforce, Workday, customers, suppliers, and other enterprise platforms.
Modernize, simplify, and improve the reliability of the enterprise integration landscape.
Establish the software engineering function, including its operating model, organizational structure, technology stack, development frameworks, engineering standards, and delivery practices.
Establish forward-deployed engineering practices that embed developers with business teams to deliver applications, AI-powered workflows, and automation.
Drive adoption of AI coding agents and agentic development workflows, automated testing, and code review, supported by standardized tools, reusable components, and security and quality guardrails.
Establish integration patterns and governance for secure AI agent interaction with enterprise systems, APIs, and governed data.
Partner with the AI Center of Excellence to operationalize agentic AI using technologies such as MCP, agent orchestration, and enterprise APIs.
Establish DevSecOps practices, including CI/CD, automated testing, observability, security-by-design, and continuous delivery.
Ensure reliable and resilient integrations and applications through monitoring, SLA management, incident response, and continuous improvement.
Recruit, develop, and mentor integration engineers, software engineers, architects, and EDI specialists.
Build a culture of innovation, AI-enabled engineering, business partnership, and accountability, and manage strategic technology partners.
Perform other duties as assigned by the jobholder's supervisor.