{"id":2285072,"url":"https://alion.io/job/target-lead-full-stack-engineer-ai-platform-team","title":"Lead Full Stack Engineer - AI Platform Team","company":{"id":3684,"name":"Target","domain":"target.com","url":"https://alion.io/company/target","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":246,"ghost_share":0.028,"stale_share":0.004,"repost_share":0.053,"time_to_fill_p50_days":7,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brooklyn Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":132000,"max":238000,"currency":"USD","period":"year","gross":null,"usd_annual":238000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-05T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T00:56:36Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"The pay range is $132,000.00 - $238,000.00Pay 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.\nJOIN TARGET AS A LEAD FULL STACK ENGINEER - AI DATA PLATFORM TEAM\nAbout us:\nWorking 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.\nAbout the role\nAs a Lead Engineer on the AI/ML and Agent Platform team, you will provide technical leadership and design and build enterprise-grade full-stack capabilities for agent development, orchestration, evaluation, observability, sandboxing, and production execution. You will work at the intersection of distributed systems, platform engineering, GenAI, and modern application development to create scalable and intuitive agentic experiences.\nKey Responsibilities:\n· Lead the architecture and development of scalable full-stack solutions for agent orchestration, execution, evaluation, and monitoring\n· Build reusable capabilities for agent lifecycle management, context and memory, tool integration, model and prompt configuration, secure sandbox execution, and workflow orchestration\n· Develop intuitive experiences for building, testing, orchestrating, and managing AI agents and workflows\n· Integrate LLMs, AI agents, enterprise tools, and external systems into reliable production-grade solutions with appropriate guardrails\n· Build APIs, SDKs, platform services, and developer tools that enable teams to create, test, deploy, and operate intelligent agents\n· Develop evaluation and observability capabilities including testing, quality metrics, tracing, monitoring, dashboards, and debugging\n· Ensure solutions meet enterprise standards for security, governance, privacy, reliability, and auditability\n· Partner with Product, UX, Data Science, Architecture, and engineering teams to define and deliver platform capabilities\n· Drive scalability, resiliency, performance, and cost efficiency across cloud-native systems\n· Provide technical direction, mentor engineers, and establish engineering standards for AI/ML and agentic systems\nCore responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.\nAbout you:\n4-year degree or equivalent experience\n7+ years of full stack software engineering experience including technical leadership of complex systems and initiatives\nStrong programming skills in Java, Kotlin, Go, or Python\nStrong experience building end-to-end applications across backend services/APIs and modern frontend technologies such as React and TypeScript\nExperience building production AI/ML or GenAI applications using LLMs, agents, or agentic workflows\nStrong experience designing scalable distributed systems, APIs, and microservices architectures\nDeep understanding of system design, scalability, reliability, security, and observability\nExperience with containers, Kubernetes, CI/CD, and cloud-native development\nExperience with agent orchestration, tool calling, prompt management, context management, memory, and multi-agent systems\nExperience building evaluation frameworks for LLMs or AI agents\nExperience with secure sandboxing or isolated execution environments for AI agents\nKnowledge of AI tracing, observability, monitoring, and debugging\nExperience with RAG, vector databases, semantic search, embeddings, or model gateways\nExperience developing platform APIs, SDKs, or reusable developer tooling\nUnderstanding of Responsible AI, governance, guardrails, security, and privacy\nExperience with GCP, AWS, or Azure cloud\nDemonstrated ability to lead technical initiatives, mentor engineers, and influence architecture across teams\nSelf-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards\nCollaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI-powered applications that create business value\nThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, 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. Click here if you are curious to learn more about Minnesota.\nBenefits Eligibility\nPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)\nIn compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to -accommodation-relatedrequests, such as application follow-ups or technical issues, will not be addressed through this channel.\nApplication deadline is : 11/19/2026","description_format":"text","description_chars":5962,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","E-commerce Platforms","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-11T13:28:32Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.699,"p_room":0.55,"age_days":7,"expected_fill_days":7,"reasons":["conf:3","win:tail","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":238000,"is_top_pay":true},"html_url":"https://alion.io/job/target-lead-full-stack-engineer-ai-platform-team","json_url":"https://alion.io/job/target-lead-full-stack-engineer-ai-platform-team.json","meta":{"generated_at":"2026-10-13T01:26:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2134,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3684},"rest":"https://alion.io/mcp/rest/get_company?id=3684"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftarget-lead-full-stack-engineer-ai-platform-team"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftarget-lead-full-stack-engineer-ai-platform-team"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftarget-lead-full-stack-engineer-ai-platform-team"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/target-lead-full-stack-engineer-ai-platform-team\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftarget-lead-full-stack-engineer-ai-platform-team"}]}