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Target

Lead Forward Deployed Engineer – AI Platforms, ML, LLMs, APIs, ML Ops

Target

. Lead complex technical engagements accelerating enterprise AI platform adoption .

Posted 11/6/2026full-timeBrooklyn Park • Minnesota • United StatesSenior💰 $132,000 - $238,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture, AI application development, and hands-on engineering, with a strong focus on leading complex technical initiatives and improving enterprise AI platform adoption. Proficient in programming languages and modern engineering practices, with a commitment to enhancing reliability, security, and performance of production systems.

Highest-signal resume keywords
Software ArchitectureAI Application DevelopmentJava ProgrammingPython ProgrammingCloud-Native Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentDistributed SystemsAPIsCI/CDTestingObservabilityReliabilityPerformanceSecurityTechnical Tooling
Soft Skills
Effective CommunicationTechnical JudgmentCollaboration
Tools & Technologies
LLMsAgentic ArchitecturesModel APIsTool IntegrationEvaluation FrameworksSDKs
Industry Keywords
Enterprise AIArchitecture ReviewsProduction OperationsEngineering PracticesScalable Solutions

Tech Stack

Tools & technologies
CloudDistributed SystemsJavaKotlinPython

About the role

Key responsibilities & impact
  • Lead complex technical engagements accelerating enterprise AI platform adoption
  • Combine solution architecture, hands-on engineering, and technical guidance to move teams from experimentation to production
  • Design, build, and productionize AI solutions, reference implementations, technical tooling, and platform-support capabilities
  • Use LLMs, agentic architectures, enterprise context and retrieval, model APIs, and tool integrations
  • Guide technical design and implementation across engineering efforts
  • Help teams navigate architectural decisions, troubleshoot challenges, and develop scalable, maintainable solutions
  • Improve reliability, security, performance, observability, and operational readiness of production AI systems
  • Identify recurring implementation challenges, integration gaps, and platform limitations
  • Collaborate with platform engineering to develop reusable patterns, APIs, SDKs, frameworks, and shared capabilities
  • Establish and improve architecture reviews, code quality, testing, evaluation, deployment, and production operations practices
  • Collaborate across product, engineering, and platform teams to evaluate approaches and share implementation learnings
  • Improve enterprise AI platform adoption and usage through scalable platform capabilities

Requirements

What you’ll need
  • 4-year degree or equivalent experience
  • 5+ 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
  • Demonstrated proficiency programming in Java, Python, Kotlin, etc.
  • Hands-on experience building and productionizing AI applications using LLMs, agentic architectures, model APIs, retrieval/context patterns, tool integration, and evaluation frameworks
  • Ability to lead complex technical initiatives from design through production and guide architectural decisions
  • Experience with CI/CD, testing, observability, reliability, performance, security, and operations
  • Experience developing reusable engineering patterns, technical tooling, reference implementations, APIs, SDKs, or platform capabilities
  • Ability to provide technical guidance, influence engineering decisions, and improve engineering practices
  • Effective communication and technical judgment
  • Ability to collaborate across product, engineering, and platform teams
  • Maintains technical knowledge and stays current with evolving AI and software engineering technologies
  • Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Benefits

Comp & perks
  • Comprehensive health benefits, which may include medical, vision, dental, and life insurance
  • 401(k)
  • Employee discount
  • Short-term disability
  • Long-term disability
  • Paid sick leave
  • Paid national holidays
  • Paid vacation
  • Financial, education, and well-being benefits and programs
  • Remote work arrangement may allow full-time work from home or an alternate non-Target location
  • Remote arrangement may include travel to HQ up to 4 times a year