Lead AI/ML Engineer (P4363)
84.51°
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Job summary
84.51° in Cincinnati seeks a Lead AI/ML Engineer to steer the design, development, and deployment of agentic AI systems across organizational domains. You will mentor engineers and collaborate with researchers and platform teams to scale capabilities.
You will translate business needs into scalable APIs, monitor performance, data quality, latency, and reliability, and drive DevOps practices. Proven cloud software and AI experience, strong Python, Kubernetes, and data platform skills are
Qualifications
- Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
- 4+ years of experience developing cloud-based software solutions with emphasis on scalability, performance, and reliability.
- 2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
- 2+ years of experience with generative AI technologies.
- Experience with end-to-end SDLC, CI/CD, automated testing, and DevOps practices.
Responsibilities
- Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems.
- Foster a collaborative and innovative team environment and mentor junior members.
- Automate, deploy, and integrate generative AI and agentic solutions using established patterns and tools.
- Develop tools and pipelines to monitor agent behavior, data accuracy, latency, and reliability.
- Package agent capabilities as reusable APIs and components across the organization.
- Build production-grade agentic systems and backend services with security and observability in mind.
Skills
Education
Tools
Job description
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-party 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°!
- Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
- Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
- Leverage established software engineering patterns, frameworks, and tools to automate, deploy, and integrate generative AI and agentic solutions.
- Develop tools, processes, and operational capabilities to monitor agent behavior, response quality, data accuracy, latency, and system reliability.
- Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle best practices.
- Package agent capabilities, tools, and supporting services as reusable APIs and components that can be integrated across the organization.
- Build, steward, and maintain production-grade agentic systems and supporting backend services, including agent APIs, asynchronous jobs, conversation state, file storage, and enterprise integrations, with a focus on security, reliability, observability, scalability, and performance.
- Evaluate emerging generative AI and agent frameworks, orchestration patterns, protocols, and tooling to identify opportunities for enterprise adoption and evolve existing systems.
- Translate business requirements into consumable agent capabilities and services, balancing scale, risk, response quality, latency, and cost to maximize value.
- Reduce time to delivery through automated build, test, and deployment pipelines, coordinated service releases, continuous evaluation, and user feedback and monitoring practices.
- Responsible for code reviews and QA sign off
- Maintain technical documentation, version control, deployment and rollback guidance, and knowledge-sharing practices to support collaboration and operational continuity.
- Make time-sensitive decisions and solve urgent problems without escalation.
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
- 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability.
- 4+ years of experience applying programming languages, software design patterns, and modern engineering technologies to build production solutions.
- 2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
- 2+ years of experience with generative AI technologies preferred.
- 2+ years of experience in tech consulting, retail or related professional services preferred
- Hands-on experience across the end-to-end software development lifecycle, using CI/CD, automated testing, and DevOps practices to develop, deploy, and maintain scalable solutions.
- Experience delivering production-grade software services or agentic solutions that meet stakeholder needs.
- Excellent communication skills, particularly on technical topics.
- Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary.
- Knowledge of generative AI application patterns, including retrieval-augmented generation, tool use, and agent orchestration, is highly preferred.
- Experience working with a managed agent platform, such as LangSmith, to support agent deployment, tracing, evaluation, and lifecycle management.
- Experience working with AI-ready data, including preparing, validating, and organizing governed data and metadata for reliable retrieval, context grounding, and agent use.
- Experience working with a managed data platform, such as Databricks or Snowflake.
- Strong skills in Python
- Strong data engineering and data modeling skills, including integrating data sources and building reliable data pipelines.
- Kubernetes & Docker experience
- CI/CD Pipeline experience; Github Actions a plus
- Terraform experience
- Experience writing agent evaluations is a plus.
- Experience with prompt tuning is a plus.
- Experience working with Model Context Protocol (MCP) servers is a plus.
- 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.
$125,000 - $207,000 USD
As part of the hiring process, applications who receive an offer of employment may be asked to submit to a drug screen test to detect the presence of certain drugs or their metabolites. Offers are conditioned on passage of that test. If you are asked to submit to a drug test and you refuse to be tested, or you do not pass, 84.51° will revoke any offer of employment. All drug tests will be conducted in accordance with applicable federal and state law and will be done by way of urine collection and screening. Therapeutic levels of medically prescribed or over the counter medicines may lead to positive test results. If offered a position, would you be willing to be screened for illegal drug use in the next 24 hours? *
If offered a position, would you be willing to submit to a criminal background check, a previous employment verification check, and/or an education verification check? *
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