Lead Forward Deployed Engineer; P4570

Position: Lead Forward Deployed Engineer (P4570)
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 !__________________________________________________________

PLEASE NOTE:

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).Lead Forward Deployed Engineer (FDE) (P4570)
We are seeking a Lead Forward Deployed Engineer (FDE) to join our AI Software Development Lifecycle (SDLC) team and enable evolution of software development using AI tooling across Kroger and 84.51. The AI SDLC team provides access to Agentic Coding harnesses and agentic coding best practices in collaboration with Security, functional SDLC advisors, and development teams across the enterprise. The AI SDLC team also helps maintain an internal marketplace of Plugins for AI tooling, in tandem with teams offering other supporting services for AI Agents.

This role provides an opportunity to shape how thousands of developers adopt AI within a large enterprise. As a Forward Deployed Engineer (FDE), you will spend time embedded directly with delivery teams and collaborating with platform and security stakeholders. Success for this role means accelerating AI-enabled SDLC - writing code alongside developers, finding where our AI tooling or policy falls short in their workflows, and turning that friction into platform improvements which scale across Kroger and 84.51.This

is a generalist Software Engineer role spanning the Software Development, Observability, Dev Ops, Security, and Developer Experience domains. This role is hands-on and is expected to both provide technical leadership and to produce code.

RESPONSIBILITIES:

Exemplify best-practice for software delivery with Agentic Coding tools (such as Claude Code Regularly document and present learnings gleaned from embedded work or experiments to the AI Enablement organization

Ensure accurate observability of adoption and usage patterns of agentic Coding tools using Datadog, Dynatrace or other related observability tools

Bridge the gap between Platform offerings and User adoption or usage patterns, discovering and documenting any gaps in capability and experience

Closely monitor and maintain our internal Plugin Marketplaces or similar to enhance usability of offerings

Ensure we hit SLAs and lead incident management procedures Engage with other technology, infrastructure, and product teams as necessary to complete tasks

Participate routinely in team on-call rotation and customer support during business hoursMINIMUM QUALIFICATIONS, SKILLS, AND EXPERIENCE 4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience 5+ years of experience producing high-quality software on Agile development teams. (Python and Java preferred)5+ years of experience with public cloud technologies (Azure preferred)3+ years of experience in Platform Engineering, Dev Ex, or related roles

Demonstrable experience working with Coding Agent Harnesses and related tooling in an enterprise setting (Claude Code, Codex, Cursor, etc.)Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units

Desire to learn new technology and grow across different areas of technology

Familiarity with AI-related concepts such as LLMs, Agents, Model Context Protocol (MCP)
PREFERRED QUALIFICATIONS, SKILLS, AND EXPERIENCE Strong technical writing, documentation, or functional research skills

Experience developing AI-powered features or applications

Experience developing CI/CD workflows or other similar automations contributing to code safety and reliability

Experience working with IAC…