Jobs / United States / Target Corporation

Target Corporation

Sr Engineer - AI Platforms / Context Intelligence (API's, search, information retrieval)

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 Posted today $98,000

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Target Corporation paid sponsored hires in similar roles46 certified filings for “Lead Engineer” (Software Developers) in MN: $135k–$145k, median $145k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Target Corporation paid sponsored hires in similar roles
46 certified filings for “Lead Engineer” (Software Developers) in MN: $135k–$145k, median $145k. Most were filed at wage level IV (83%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

The pay range is $98,000.00 - $176,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A SR ENGINEER – AI PLATFORMS – CONTEXT INTELLIGENCE About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here .  As a Senior Engineer – AI Platforms, Context Intelligence you will be part of a team building the enterprise context and knowledge foundation that enables AI applications and agents to access, retrieve and reason over trusted enterprise information. You will operate at the intersection of AI engineering, information retrieval, search, knowledge systems, and distributed platform engineering. You will design and build scalable context services that enable semantic and hybrid retrieval, grounding, memory, enterprise knowledge access, and high-quality AI experiences. A key part of this role is turning complex context and knowledge challenges into reusable platform capabilities. You will build retrieval services, memory systems, knowledge ingestion and indexing pipelines, context orchestration capabilities, and observability that can be adopted consistently across AI applications and agents. As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight into application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You demonstrate expertise in applying appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement architecture independently while influencing fellow engineers through software designs, implementation guidance, code reviews, and technical mentorship. Use your skills, experience, and talents to be part of groundbreaking thinking and visionary goals. As a Sr. Engineer within Context Intelligence, you’ll take the lead as you: • Design, build, and operate scalable retrieval and context services that enable AI applications and agents to access trusted enterprise knowledge. • Build semantic, hybrid, and enterprise search capabilities using modern information retrieval techniques, embeddings, vector databases, indexing, and search infrastructure. • Develop retrieval-augmented generation (RAG) and grounding patterns that improve the relevance, quality, and trustworthiness of AI responses. • Build memory and context-management capabilities for conversational and agentic systems, including short- and long-term context and agent memory patterns. • Design and implement enterprise knowledge ingestion, content indexing, metadata, synchronization, and connector capabilities that keep knowledge accessible and fresh. • Build context orchestration services that select, assemble, and optimize the information supplied to AI applications an

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