GenAI Engineering Manager
Motorola Solutions
At a glance
AI generatedAs a Lead Engineer in Merchandising Engineering at Target, you will join a globally distributed team building core merchandising systems using advanced AI and machine learning technologies. Your responsibilities include designing autonomous AI agents with multi-step reasoning capabilities, leading the development of multi-agent coordination frameworks, and implementing safety mechanisms to ensure trustworthiness. You will also build data pipelines for training and fine-tuning models, operationalize evaluation systems, and adopt emerging GenAI patterns like LangGraph and RAG. Proficiency in Java and Python, along with experience in PostgreSQL, Elasticsearch, and modern LLM ecosystems, is essential. This role demands strong stakeholder communication skills and the ability to lead through influence across teams while ensuring scalable, reliable system design.
Skills
What you'll do
What we're looking for
Market check
This $132,000–$286,000 range sits above 58% of similar postings on FindRole.
Peer median band
$152,200–$227,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$164,112–$234,625
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has 43 open roles on FindRole.
Listed pay typically runs $98,000–$176,000 across 43 roles with salary data.
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