84.51˚
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 customer‑centric journey using 84.51° Insights, 84.51° Loyalty Marketing, and our retail media advertising solution, Kroger Precision Marketing.
Lead Software Engineer – Agentic Foundations (P4475, P4477) Location:
Cincinnati / Chicago
Summary The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team designs, develops, and maintains the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support best‑practice development of AI agents. The Lead Software Engineer will provide hands‑on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low‑code/no‑code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise‑grade capabilities that accelerate time‑to‑value, improve quality and reliability, and promote compliant, best‑practice use of agentic systems.
Responsibilities
Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise.
Own technical outcomes for a specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low‑code/no‑code agent platforms.
Provide in‑depth technical leadership to scope and implement scalable, secure, and reliable solutions.
Uphold standards for architecture, code quality, testing, and documentation.
Partner with the Agentic Foundations leadership, engineering and data science leads to plan quarters, cycles, sprints, and ensure efficient, predictable delivery.
Work with offshore reliability engineering teams to uphold SLAs.
Occasionally participate in level‑2 on‑call support for production systems.
Abstract complex capabilities into developer‑friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption.
Drive operational excellence across platforms, including incident management, on‑call support, capacity planning, and cost optimization.
Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement.
Qualifications, Skills, And Experience
Professional experience with cloud‑based software architecture focused on scalability, performance, and reliability.
Professional experience with end‑to‑end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling.
Professional experience with large‑scale AI/ML systems, including 1+ years with GenAI and deep learning methods.
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 and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI).
Professional experience with Kubernetes (AKS) and Helm.
Professional experience with Python.
Professional experience in ambiguous environments.
Skilled in problem solving, analytic thinking, and creativity.
Skilled in planning, organization, and verbal/written business communication.
Skilled in maintaining a positive leader persona in ambiguous and changing environments.
Demonstrated excellence as a teammate and leader.
4–6 years relevant experience.
Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning or a related field.
Pay Transparency And Benefits Pay Range:
$121,000—$201,250 USD . 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 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.
Health: Medical (competitive plan designs and support for self‑care, wellness and mental health), Dental (in‑network and out‑of‑network benefit), Vision (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 a qualifying medical plan); AD&D and supplemental insurance options.
Happiness: Paid time off with flexibility, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, and 6 company‑paid holidays per year. Paid leave for maternity, paternity and family care instances.
#J-18808-Ljbffr
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 customer‑centric journey using 84.51° Insights, 84.51° Loyalty Marketing, and our retail media advertising solution, Kroger Precision Marketing.
Lead Software Engineer – Agentic Foundations (P4475, P4477) Location:
Cincinnati / Chicago
Summary The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team designs, develops, and maintains the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support best‑practice development of AI agents. The Lead Software Engineer will provide hands‑on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low‑code/no‑code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise‑grade capabilities that accelerate time‑to‑value, improve quality and reliability, and promote compliant, best‑practice use of agentic systems.
Responsibilities
Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise.
Own technical outcomes for a specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low‑code/no‑code agent platforms.
Provide in‑depth technical leadership to scope and implement scalable, secure, and reliable solutions.
Uphold standards for architecture, code quality, testing, and documentation.
Partner with the Agentic Foundations leadership, engineering and data science leads to plan quarters, cycles, sprints, and ensure efficient, predictable delivery.
Work with offshore reliability engineering teams to uphold SLAs.
Occasionally participate in level‑2 on‑call support for production systems.
Abstract complex capabilities into developer‑friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption.
Drive operational excellence across platforms, including incident management, on‑call support, capacity planning, and cost optimization.
Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement.
Qualifications, Skills, And Experience
Professional experience with cloud‑based software architecture focused on scalability, performance, and reliability.
Professional experience with end‑to‑end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling.
Professional experience with large‑scale AI/ML systems, including 1+ years with GenAI and deep learning methods.
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 and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI).
Professional experience with Kubernetes (AKS) and Helm.
Professional experience with Python.
Professional experience in ambiguous environments.
Skilled in problem solving, analytic thinking, and creativity.
Skilled in planning, organization, and verbal/written business communication.
Skilled in maintaining a positive leader persona in ambiguous and changing environments.
Demonstrated excellence as a teammate and leader.
4–6 years relevant experience.
Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning or a related field.
Pay Transparency And Benefits Pay Range:
$121,000—$201,250 USD . 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 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.
Health: Medical (competitive plan designs and support for self‑care, wellness and mental health), Dental (in‑network and out‑of‑network benefit), Vision (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 a qualifying medical plan); AD&D and supplemental insurance options.
Happiness: Paid time off with flexibility, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, and 6 company‑paid holidays per year. Paid leave for maternity, paternity and family care instances.
#J-18808-Ljbffr