This role is responsible for partnering with senior members of Advanced Analytics & Automation, Intelligent Automation Engineering Leadership, Enterprise Architecture, and DTT Audience Teams, and will participate in strategic planning and continuous improvement efforts.

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Responsibilities

• Build or influence generative AI/LLM frameworks that reduce complexity and manual efforts across all user audiences throughout the business.
• Architect solutions and lead engineering for LLM based chatbot solution.
• Solutions Architect for Generative AI technology toolset, including setting technical direction, software design, integration design, engineering priority, delivery velocity and operational support.
• Ensure code quality and best practices.
• Collaborate with functional product managers and other stakeholders in setting product direction and stewarding technical outcomes.
• Compile and manage budget related to all Generative AI infrastructure and engineering related activities.
• Empower and support other engineering and audience teams in DTT as they leverage generative AI capabilities in their technology solutions.
• Solicit and incorporate feedback into new releases.
• Partner with Generative AI functional leadership to define, prioritize and deliver features and integrations with Chick-fil-A's generative AI toolset.
• Create and build buy-in for annual vision and goals. Communicate expectations and feedback for team members who contribute to the shared vision.
• Continuously improve products and services measured by the adoption of these frameworks across all technical teams.
• Influence and set direction for engineering staff to deliver results within Chick-fil-A's core values and guiding principles.
• Develop leadership and vendor management skills amongst staff.
• Manage vendor relationships and budgets, ensuring compliance to Chick-fil-A vendor management standards and accounting practices.
• Select and evaluate external partners to continuously optimize and raise the bar.
• Prepare vendor SOWs and negotiate delivery and cost terms to ensure efficient and competitive agreements.
• Verify that solutions developed internally and externally meet security, operational, and compatibility standards.
• Review and steward cloud computing resources to optimize and maintain budgeted use.
• Measure and optimize performance of delivered products and services. Develop relevant measures and SLAs.
• Continuously learn emerging new technologies and best practices, looking for opportunities to apply and advance analytics at Chick-fil-A.
• Drive consensus across multiple constituent teams by listening and empathizing. Communicate plans and hold teams accountable to delivery timelines.
• Maintain compliance with Chick-fil-A architecture standards, security standards, and data strategy.

Minimum Qualifications

• 8+ Years of experience in custom software engineering
• 3+ Years of experience specifically in Natural Language Processing or conversational AI
• Proficiency in Python, Java and/or Golang
• Machine Learning frameworks such as TensorFlow or PyTorch
• Architecting cloud native software in public cloud environment
• Applying machine learning and advanced analytics concepts to solve business problems
• Deploying solutions with Docker or Kubernetes container technologies
• Automating CI/CD pipelines
• Supporting production systems 24x7
• Translating complex problems and solutions effectively between business and engineering audiences
• Leading and innovating around artificial intelligence
• Leading development teams using Agile methodology
• Developing early in career developers and pod leaders
• Experience with GCP or AWS and their associated AI/ML products
• Knowledge of DevOps practices
• Understanding of UX principles for conversational interfaces
• Understanding of current trends in AI and chatbot technologies
• Passionate about applying technology strategy to support business processes at scale
• Motivated by continual learning
• Ability to lead others by influence
• Ability to lead small teams
• Strong written and oral communication skills.
• Good interpersonal and team collaboration skills.
• Strong analytical and problem-solving skills.
• Ability to lead as a player coach

Preferred Qualifications

• 3+ Years of experience leading software engineering teams
• 1+ Year of experience with LLM
• Experience with Typescript and Vercel
• Familiarity with dialog management systems
• Supporting solutions using a Site Reliability Engineering (SRE) budget
• Architecting both end user facing software products and software frameworks/APIs intended to support a software engineering user audience
• Working with off-shore (or near-shore) development teams on less complex projects
• Engineering data security with encryption, access management, and auditing
• Processing non-structured data (Geospatial, voice, vision, documents)
• AWS Cloud Architect Certification

Minimum Years of Experience

8

Required Level of Education

Bachelor's degree or equivalent experience

Preferred Level of Education

Bachelor's Degree

Major/Concentration

Computer Science or related technical field