Director, Software Engineering (P4474)

84.51˚; Cincinnati (OH); Vor Ort; USD 162.000 - 262.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) with matching

Paid time off

Zusammenfassung

84.51° is seeking a Director of Software Engineering for the Agentic Foundations team to design, build, and maintain the backbone of the Kroger enterprise’s agentic ecosystem. You will provide technical leadership for platforms, patterns, and tools enabling AI agents, including low-code/no-code interfaces and scalable APIs.

Lead engineering teams, drive architecture decisions, and oversee offshore contributors while partnering with product management to shape the enterprise roadmap and ensure

Qualifikationen

• 7+ years of cloud-based software architecture experience.
• 7+ years end-to-end SDLC with CI/CD and AIOps/MLOps.
• 7+ years with large-scale AI/ML systems, including GenAI.
• Production-grade agentic systems experience (design, development, evals, deployment, monitoring).
• Experience with AI/ML frameworks/tools (PyTorch, OpenAI SDK, LangChain, autogen).
• Experience with Azure & Google Cloud, CI/CD, containerization, orchestration & API development (FastAPI).
• Kubernetes (AKS) and Helm; Terraform for IaC.
• Leadership of technical teams and client-facing engagement; collaboration with product management.
• Bachelor’s degree or higher in a related field.

Aufgaben

• Partner with the Director of Product Management to lead the space for the Kroger enterprise.
• Lead and manage a team of engineers and their reports across product/platform areas.
• Lead hiring efforts for engineers on the Agentic Foundations team and assist with screening questions.
• Own and manage offshore reliability engineering teams.
• Provide technical leadership for enterprise-grade agentic solutions and tooling.
• Ensure reliability, observability, and incident management across agentic platforms.
• Maintain up-to-date expertise on agentic workflows and best practices.
• Foster a collaborative and innovative team environment; support professional growth.
• Reduce development time by leveraging enterprise SDLC tooling.
• Lead tooling abstraction to user-facing interfaces like APIs, Python packages, or UIs.
• Translate business requirements into consumable products and services.
• Guide teams to follow software development standards and processes.
• Make time-sensitive decisions and resolve urgent problems without escalation.

Kenntnisse

Cloud architecture

SDLC CI/CD

AI/ML systems

Python

Kubernetes AKS

Terraform

Ausbildung

Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

Tools

PyTorch

OpenAI SDK

LangChain

FastAPI

MLflow

Model Registry

Docker

Git

Jobbeschreibung

84.51° Overview

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting‑edge science, we utilize first‑party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer‑centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

DIRECTOR, SOFTWARE ENGINEERING (P4474)

The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Director of Engineering requires a unique mix of software engineering and AI skills necessary to lead the technical design of platforms, patterns, and tools to support the enterprise agentic ecosystem. This role has a focus on providing the technical leadership needed for engineering and data science development teams implementing solutions like agent/MCP/scorer/prompt registries, agent‑related tools to aid in the development and monitoring of best practice agents and tools, and managing low‑code and no‑code agent platforms that integrate with agentic support.

Responsibilities

• Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise
• Lead and manage a team of engineers, guiding them in the design and development of their product/platform areas and in the management of their own reports
• Lead and manage hiring efforts for engineers on the Agentic Foundations team, including finding interview panelists, writing interview guides and questions, and assisting with coding screening questions
• Own and manage offshore reliability engineering teams
• Provide in‑depth technical leadership in the scoping and implementation of enterprise‑grade solutions to support agents across the Kroger enterprise
• Provide operational leadership across agentic platforms, ensuring enterprise‑grade reliability, observability, and incident management
• Maintain an up‑to‑date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation
• Foster a collaborative and innovative team environment, encouraging professional growth and development among team members
• Reduce the development time of the team by leveraging agentic SDLC tooling provided by the enterprise
• Lead the abstraction of tooling and services to user‑friendly interfaces like APIs, Python packages, or UIs
• Understand business requirements and trade‑off scale, risk, and accuracy to maximize value and translate research into consumable products or services
• Guide the development teams to follow software development standards, including version control, documentation, testing, and support
• Make time‑sensitive decisions and solve urgent problems without escalation

Qualifications, Skills, And Experience

• 7+ years professional experience with cloud‑based software architecture focused on scalability, performance, and reliability
• 7+ years professional experience with end‑to‑end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• 7+ years professional experience with large‑scale AI/ML systems, including 2+ years with GenAI and deep learning methods
• Professional experience with production‑grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, model monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure & Google Cloud, including CI/CD, containerization, orchestration & API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience with infrastructure‑as‑code using Terraform
• Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
• Skilled in partnering with product management peers to jointly define product and team direction and priorities
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

Pay Transparency And Benefits

• The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job‑related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
• Below is a list of some of the benefits we offer our associates:
  • Health: Medical: with competitive plan designs and support for self‑care, wellness and mental health. Dental: with in‑network and out‑of‑network benefit. Vision: with in‑network and out‑of‑network benefit.
  • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
  • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company‑paid holidays per year. Paid leave for maternity, paternity, and family care instances.

Base Pay Range

$162,000—$262,000 USD