Staff Engineer, AI Platform & Architecture (R5449)

• 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.
• Experience in regulated, defense-adjacent, security-sensitive, or data-governed environments.
• Background in MLOps, AI observability, model evaluation frameworks, agent evaluation, and production monitoring.
• Familiarity with enterprise AI tooling ecosystems including copilot platforms, workflow automation suites, vector databases, and enterprise search/RAG platforms.
• Hands-on experience with enterprise data platforms such as Databricks, Snowflake, lakehouse architectures, or comparable data foundations.
• Experience implementing usage metering, cost allocation, showback/chargeback, or AI spend optimization capabilities.
• Track record of mentoring engineers and raising technical standards without relying on direct management authority.
• Advanced degree in Computer Science, Engineering, Data Science, or a related technical field.

#LD

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Originally posted on Himalayas