Shield AI logo
Shield AI

Autonomy for the world.

Staff Engineer, AI Platform – Architecture

Platform EngineerPlatform EngineerFull TimeRemoteLeadTeam 501-1,000Since 2015H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$190K - $290K / year

Seniority

Lead

Postgraduate DegreeEnglish

Job Description

Staff Engineer, AI Platform – Architecture

Shield AI

• Define and evolve enterprise AI architecture patterns for LLM integration, retrieval-augmented generation, agentic workflows, prompt orchestration, and workflow automation. • Create reference architectures, design reviews, decision records, and implementation guidance that enable consistent AI development across business units. • Serve as a technical authority for AI platform decisions, including model selection, integration approaches, data boundary enforcement, and lifecycle management. • Evaluate emerging AI technologies and recommend fit-for-purpose adoption paths aligned to security, operational, and enterprise architecture requirements. • Partner with product, platform, and business technology teams to identify common needs and convert them into reusable engineering patterns. • Design and build reusable AI components such as connectors, agents, skill templates, prompt libraries, data pipelines, integration adapters, and service APIs. • Lead technical design for shared platform services for AI observability, logging, usage metering, evaluation, and lifecycle management. • Establish quality, versioning, deprecation, documentation, and contribution standards for the shared AI component catalog. • Guide teams through adoption of shared components, balancing standardization with practical implementation needs. • Identify opportunities to eliminate duplicate AI engineering efforts through consolidation, abstractions, and platformization. • Architect engineering controls for access management, data classification enforcement, prompt safety, output validation, audit logging, and policy adherence. • Partner with Security, Legal, and compliance stakeholders to embed responsible AI requirements into development and deployment pipelines. • Design model and agent lifecycle governance patterns, including version tracking, evaluation, drift monitoring, rollback, and deprecation workflows. • Build technical dashboards and telemetry that expose adoption, risk, performance, and governance compliance across AI-enabled systems. • Represent engineering considerations in AI governance reviews and translate policy requirements into implementable technical standards. • Develop AI-assisted workflow patterns that improve individual productivity, team collaboration, knowledge retrieval, meeting intelligence, document generation, and task automation. • Design measurement approaches that connect AI usage to time savings, quality improvement, error reduction, capacity creation, and business value. • Partner with Finance and platform teams to develop cost metering, showback/chargeback, and optimization mechanisms for AI services. • Mentor senior and mid-level engineers, raise engineering quality, and lead complex cross-functional technical initiatives from concept through production. • Contribute to communities of practice, internal enablement material, and technical evangelism for enterprise AI engineering standards.

Job Requirements

  • Progressive experience in enterprise software engineering, AI platform engineering, data platform engineering, or digital workplace technology roles.
  • Deep hands-on understanding of generative AI, large language model integration, RAG architectures, agentic AI patterns, prompt orchestration, and production AI system design.
  • Experience designing shared platform services, reusable component libraries, APIs, integration frameworks, or developer enablement platforms used by multiple teams.
  • Strong architecture judgment across security, reliability, scalability, observability, maintainability, and operational cost tradeoffs.
  • Experience implementing or contributing to AI governance controls such as access management, data classification, audit logging, model lifecycle management, and compliance-aware development practices.
  • Ability to influence technical direction across matrixed teams through architecture reviews, written guidance, reference implementations, and hands-on collaboration.
  • Experience defining metrics, telemetry, or attribution mechanisms for adoption, productivity, cost, quality, or operational performance.
  • Strong written and verbal communication skills with the ability to explain complex AI engineering concepts to technical and non-technical audiences.

Benefits

  • Pay within range listed + Bonus + Benefits + Equity
  • Temporary benefits package (applicable after 60 days of employment)

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