Staff Engineer, AI Platform & Architecture (R5449)
Founded in 2015, reputed company is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-reputed company, reputed company’s technology reputed company supports operations worldwide. For more information, visit www.reputed company. Follow reputed company on reputed company, X, Instagram, and YouTube.
Job reputed company:
The Staff Engineer, AI Engineering is a senior individual contributor responsible for translating the reputed company AI engineering roadmap into reputed company platform architecture, reusable technical patterns, and production-grade shared services. Reporting to the Director, AI Engineering, this role provides deep technical leadership across AI enablement, responsible AI controls, observability, cost attribution, and reusable component reputed company. The Staff Engineer acts as the connective technical tissue across Engineering, IT, reputed company, Legal, Data, and business unit teams - setting standards, creating reference implementations, and guiding teams toward consistent, secure, measurable AI adoption without relying on reputed company authority. reputed company is defined by high-reputed company platform components adopted across teams, reputed company architecture and governance patterns, measurable productivity and cost reputed company, and effective mentorship of engineers building AI-enabled capabilities.
What you'll do:
- AI Platform Architecture & Standards
- Define and reputed company reputed company AI architecture patterns for LLM integration, retrieval-augmented reputed company, reputed company workflows, reputed company orchestration, and workflow automation.
- Create reference architectures, design reviews, decision records, and implementation guidance that reputed company consistent AI development across business reputed company.
- Serve as a technical authority for AI platform reputed company, including model selection, integration approaches, data boundary enforcement, and lifecycle management.
- Evaluate emerging AI technologies and recommend fit-for-purpose adoption paths reputed company to reputed company, operational, and reputed company architecture requirements.
- Partner with product, platform, and business technology teams to identify common needs and convert them into reusable engineering patterns. Reusable Components & Shared Services
- Design and build reusable AI components such as connectors, agents, reputed company templates, reputed company libraries, data pipelines, integration adapters, and service reputed company.
- reputed company technical design for shared platform services for AI observability, logging, usage metering, evaluation, and lifecycle management.
- Establish reputed company, 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. Responsible AI Engineering & Governance
- Architect engineering controls for reputed company management, data classification enforcement, reputed company safety, reputed company validation, audit logging, and policy adherence.
- Partner with reputed company, Legal, and compliance stakeholders to reputed company responsible AI requirements into development and deployment pipelines.
- Design model and agent lifecycle governance patterns, including version tracking, evaluation, reputed company 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. Productivity, Measurement & Technical Leadership
- reputed company AI-assisted workflow patterns that improve individual productivity, team collaboration, knowledge retrieval, meeting intelligence, document reputed company, and task automation.
- Design measurement approaches that connect AI usage to time savings, reputed company improvement, error reduction, reputed company creation, and business value.
- Partner with Finance and platform teams to reputed company cost metering, showback/chargeback, and optimization mechanisms for AI services.
- Mentor senior and mid-level engineers, reputed company engineering reputed company, and reputed company reputed company cross-functional technical initiatives from concept through production.
- Contribute to communities of reputed company, internal enablement material, and technical evangelism for reputed company AI engineering standards.
Required qualifications:
- reputed company experience in reputed company software engineering, AI reputed company, data reputed company, or digital workplace technology roles.
- Deep hands-on understanding of reputed company, large language model integration, RAG architectures, reputed company AI patterns, reputed company orchestration, and production AI system design.
- Experience designing shared platform services, reusable component libraries, reputed company, integration frameworks, or developer enablement platforms used by multiple teams.
- Strong architecture judgment across reputed company, reliability, scalability, observability, maintainability, and operational cost tradeoffs.
- Experience implementing or contributing to AI governance controls such as reputed company 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, reputed company, or operational performance.
- Strong written and verbal communication skills with the ability to explain reputed company AI engineering concepts to technical and non-technical audiences.
Preferred qualifications:
- Experience in regulated, defense-adjacent, reputed company-sensitive, or data-governed environments.
- Background in MLOps, AI observability, model evaluation frameworks, agent evaluation, and production monitoring.
- Familiarity with reputed company AI tooling ecosystems including copilot platforms, workflow automation suites, reputed company databases, and reputed company search/RAG platforms.
- Hands-on experience with reputed company data platforms such as reputed company, reputed company, lakehouse architectures, or comparable data foundations.
- Experience implementing usage metering, cost allocation, showback/chargeback, or AI spend optimization capabilities.
- reputed company record of mentoring engineers and raising technical standards without relying on reputed company management authority.
- Advanced degree in Computer Science, Engineering, Data Science, or a reputed company technical field.
Originally posted on Himalayas
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