Principal Engineer – AI Builder Experience and Forward Deployed EngineeringWorking 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. A role with Target's AI Platform organization means the opportunity to build and evolve the foundational capabilities that enable teams across Target to develop, deploy, and operate AI-powered products and experiences at enterprise scale. Our teams build platforms, frameworks, and developer experiences that make advanced AI technologies accessible, reliable, and scalable for engineers across the organization.

As a Principal Engineer – AI Builder Experience and Forward Deployed Engineering, you will provide technical leadership for how engineering teams across Target build, integrate, deploy, and operate AI-powered applications. You will work at the intersection of AI platform engineering, developer experience, and forward deployed engineering, partnering directly with product and engineering teams to accelerate complex and high-value AI initiatives while shaping reusable capabilities for the broader engineering community.

You will help architect and deliver production-grade AI solutions, including agentic and LLM-powered applications, while establishing scalable patterns for model and agent integration, enterprise context, evaluation, observability, deployment, and production operations. You will bring deep platform expertise directly to engineering teams, helping them navigate complex technical challenges and successfully move AI solutions from experimentation into production. A critical part of this role is translating real-world implementation experience into improvements to the AI platform.

You will identify recurring challenges and patterns across forward deployed engagements and turn those learnings into reusable APIs, SDKs, frameworks, developer tooling, reference architectures, and self-service platform capabilities. Through this feedback loop, you will help reduce bespoke engineering and continuously improve the experience for the next generation of AI builders.

You will also provide technical leadership for the end-to-end AI developer experience, including onboarding, development, experimentation, testing, evaluation, debugging, deployment, and observability. You will partner closely with platform engineering, product, architecture, and application teams to influence platform roadmaps, establish engineering standards, and create reference implementations that enable teams to adopt AI capabilities effectively and responsibly at scale.

Given the pace of change in AI, you will stay current on emerging technologies and engineering approaches, evaluate and recommend new frameworks and tooling, publish learnings and reusable patterns, mentor senior engineers, and influence technical direction across the broader AI engineering ecosystem. We utilize Agile principles, follow best-practice software design, participate in code reviews, and create maintainable, well-tested codebases with relevant documentation.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

MS or PhD in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline or equivalent industry experience8 plus years of experience designing, building, and operating large-scale software platforms, developer platforms, AI/ML systems, or distributed systems in production environmentsStrong hands-on software engineering experience and demonstrated ability to architect and deliver production-grade systemsExperience designing and delivering AI applications, including LLM-powered or agentic systems, and understanding of model integration, context and retrieval patterns, tool integration, evaluation, and production operationsExperience building developer-facing capabilities such as APIs, SDKs, frameworks, libraries, developer tooling, templates, or self-service platform experiencesExperience with modern AI engineering and platform technologies, including model APIs, agent development frameworks, evaluation and observability tooling, cloud platforms, containers, orchestration, CI/CD, and operational monitoringStrong understanding of distributed system design, platform architecture, scalability, reliability, performance optimization, security, and production deployment considerationsDemonstrated ability to partner directly with engineering and product teams, understand complex implementation challenges, and translate those challenges into scalable technical solutions and reusable platform capabilitiesAbility to operate effectively across the full engineering lifecycle, from architecture and prototyping through implementation, production deployment, and operational maturityAbility to translate ambiguous business and engineering problems into clear technical approaches and create strong technical documentation, reference architectures, narratives, and recommendations for a range of audiencesExcellent communication and influencing skills, with demonstrated ability to establish technical direction and drive alignment across engineering teams and organizational boundariesProven ability to mentor and provide technical leadership to senior engineers while influencing architecture and engineering standards without direct authoritySelf-driven and results-oriented, with strong ownership, sound technical judgment, and the ability to balance near-term delivery with long-term platform scalabilityCollaborative team player with experience working effectively across functions, organizations, and geographies, and with a demonstrated commitment to continuous learning and knowledge sharingThis position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.