Shield AI

2 days ago

Staff Engineer, AI Platform & Architecture (R5449)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Translate the enterprise AI engineering roadmap into scalable platform architecture, reusable technical patterns, and production-grade shared services. Lead AI enablement across responsible AI controls, observability, and cost attribution, and set standards through reference architectures and design reviews. Build and evolve shared AI components (connectors, agents, prompt libraries, data pipelines, APIs) and governance patterns for lifecycle, safety, and compliance. Mentor engineers and drive measurable productivity and cost outcomes.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Sr. Manager level

Key Responsibilities

•Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, prompt orchestration, and workflow automation.
•Create reference architectures, run design reviews, and publish decision records and implementation guidance for consistent AI development across business units.
•Design and build reusable AI components and shared platform services for observability, logging, usage metering, evaluation, and lifecycle management.
•Architect responsible AI engineering controls for access management, data classification enforcement, prompt safety, output validation, audit logging, and policy adherence.
•Develop measurement approaches for adoption and productivity, mentor engineers, and lead complex cross-functional technical initiatives from concept through production.

Pay and Benefits

Salary: USD 190,000 - 290,000 annually

Perks:Annual BonusEquity

Key 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, LLM 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 AI governance controls (access management, data classification, audit logging, model lifecycle management) with compliance-aware development practices.

Education:Master's in Computer Science, Engineering, Data Science, or a related technical field

Skills:Architecture judgmentTechnical leadershipMentorshipCommunication

Tech Stack:LLMRetrieval-augmented generation (RAG)Prompt orchestrationAgentic workflowsAPIsObservabilityLoggingUsage meteringVector databasesEnterprise searchDatabricksSnowflakeLakehouse

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

2 days ago

Staff Engineer, AI Platform & Architecture (R5449)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Sr. Manager level

Key Responsibilities

•Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, prompt orchestration, and workflow automation.
•Create reference architectures, run design reviews, and publish decision records and implementation guidance for consistent AI development across business units.
•Design and build reusable AI components and shared platform services for observability, logging, usage metering, evaluation, and lifecycle management.
•Architect responsible AI engineering controls for access management, data classification enforcement, prompt safety, output validation, audit logging, and policy adherence.
•Develop measurement approaches for adoption and productivity, mentor engineers, and lead complex cross-functional technical initiatives from concept through production.

Pay and Benefits

Salary: USD 190,000 - 290,000 annually

Perks:Annual BonusEquity

Key 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, LLM 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 AI governance controls (access management, data classification, audit logging, model lifecycle management) with compliance-aware development practices.

Education:Master's in Computer Science, Engineering, Data Science, or a related technical field

Skills:Architecture judgmentTechnical leadershipMentorshipCommunication

Tech Stack:LLMRetrieval-augmented generation (RAG)Prompt orchestrationAgentic workflowsAPIsObservabilityLoggingUsage meteringVector databasesEnterprise searchDatabricksSnowflakeLakehouse

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn