Senior Engineer, AI Platforms / Context Intelligence

Target

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$98,000–$176,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Nov 20, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $137k
$79k $276k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $159,875–$254,750 — the blue band above. At the midpoint, this role pays about $137k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Target

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 92 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 67 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Engineer, AI Platforms / Context Intelligence

As a Sr Engineer - AI Platforms / Context Intelligence (API's, search, information retrieval, agentic workflows), you will join the Context Intelligence team to build an enterprise knowledge foundation for AI applications and agents. You will design and operate scalable retrieval services, memory systems, and knowledge ingestion pipelines that enable semantic and hybrid search. Your daily work involves developing retrieval-augmented generation patterns, grounding, and context orchestration capabilities to ensure high-quality AI experiences. You will utilize technologies including vector databases, embeddings, Kubernetes, and containerized services to manage distributed indexing and metadata synchronization. The role requires expertise in information retrieval, distributed systems, and platform engineering to solve complex challenges regarding knowledge access, observability, and production-grade reliability for agentic workflows and large language model-powered systems.

What does a Engineer earn in Minnesota?

Median $137000 from 37 postings across 5 companies.

See salary data

What you'll do

  • Design and operate scalable retrieval and context services for AI applications and agents.
  • Build semantic, hybrid, and enterprise search capabilities using embeddings and vector databases.
  • Develop retrieval-augmented generation (RAG) and grounding patterns to improve AI response quality.
  • Create memory and context-management systems for conversational and agentic AI systems.
  • Implement enterprise knowledge ingestion pipelines, content indexing, and metadata synchronization.
  • Build context orchestration services to optimize information supplied to AI models.
  • Develop retrieval observability diagnostics for grounding quality, search metrics, and operational health.
  • Design and operate containerized services on Kubernetes for multi-region enterprise workloads.

What we're looking for

  • 4-year degree or equivalent experience.
  • 5+ years of software development experience with strong hands-on engineering and programming skills.
  • Experience designing, building, testing, deploying, and operating production-grade applications, platform services, or distributed systems.
  • Experience with information retrieval, search architecture, RAG, embeddings, vector databases, or related context and knowledge technologies.
  • Strong proficiency in one or more modern programming languages and experience developing APIs, services, and data-intensive systems.
  • Experience building or integrating semantic search, hybrid search, retrieval services, indexing pipelines, or enterprise search capabilities.
  • Understanding of memory systems, context management, grounding, and retrieval patterns for LLM-powered or agentic applications.
  • Experience with Kubernetes, containers, CI/CD, observability, testing, debugging, and operational monitoring.

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