T
Lead Forward Deployed Engineer, AI Platforms
Target
Brooklyn Park, MN
Remote
Full-time
$132k - $238k
1d ago
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Responsibilities
Lead technical engagements that help teams adopt Target’s enterprise AI platform and take AI projects into production.
Design and build production-ready AI applications, reference implementations, technical tools, and platform-support capabilities.
Guide architecture and implementation decisions across engineering teams, helping resolve complex technical challenges.
Apply software engineering and distributed systems practices to improve AI system reliability, security, performance, observability, and operational readiness.
Identify recurring implementation challenges and collaborate with platform engineering on reusable patterns, APIs, SDKs, frameworks, and shared capabilities.
Promote effective engineering practices for architecture reviews, code quality, testing, evaluation, deployment, and production operations.
Share implementation learnings with product, engineering, and platform teams to improve how they adopt enterprise AI capabilities.
Qualifications
A four-year degree or equivalent experience.
At least five years of software development experience, with strong hands-on engineering and programming skills.
Expertise in software architecture, design, distributed systems, APIs, cloud-native technologies, and modern engineering practices.
Proficiency in programming languages such as Java, Python, or Kotlin.
Hands-on experience building and productionizing AI applications using LLMs, agentic architectures, model APIs, retrieval and context patterns, tool integration, and evaluation frameworks.
Experience leading complex technical initiatives and applying production engineering practices such as CI/CD, testing, observability, reliability, performance, security, and operations.
Experience creating reusable engineering patterns, technical tools, reference implementations, APIs, SDKs, or platform capabilities that improve adoption and engineering efficiency.
A record of providing technical guidance and influencing engineering decisions through collaboration, architecture reviews, and knowledge sharing.
Continued learning through formal training or self-directed study of evolving AI and software engineering technologies.
Work Environment
The role may be remote or hybrid, depending on Target’s needs; hybrid work may involve working onsite at the assigned Target headquarters location in Minnesota and virtually.
The listed location is Brooklyn Park, Minnesota, United States; work duties must be performed within the country of the primary work location unless otherwise prescribed by Target.
For a remote arrangement, the role is full-time from home or another non-Target location, with travel to headquarters possible up to four times per year.
You will collaborate across engineering, product, and platform teams; the listing does not specify working hours.
Benefits & Perks
The listed annual pay range is $132,000 to $238,000 USD; pay depends on factors including labor market, education, work experience, and certifications.
Eligible team members may receive medical, vision, dental, and life insurance, along with a 401(k), employee discount, short- and long-term disability, paid sick leave, paid national holidays, and paid vacation.
The role offers opportunities to develop expertise in enterprise AI platforms, production LLM applications, agentic systems, and distributed systems engineering.
You can broaden your technical leadership through architecture guidance, cross-team collaboration, and development of reusable platform capabilities.