Staff Engineer, AI Platform – Architecture
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Staff Engineer responsible for guiding AI platform architecture and reusable component strategy at Shield AI. Leading engineering efforts for AI enablement and governance.
Responsibilities:
- 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.
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)
Similar Jobs
Senior Platform Engineer
Sr. Staff Platform Engineer developing internal developer platforms at eHealth. Leading AWS Cloud infrastructure optimization and AI/ML integration efforts to empower engineering teams.
Engineer II – Platform
Platform Engineer designing and building solutions for technology integration at OSC. Responsible for multi-cloud infrastructure, AI tooling, system architecture, and collaboration across teams.
Director – Platform & Infrastructure
Director of Platform & Infrastructure leading modern infrastructure initiatives for ShiftKey's SaaS and Marketplace engineering teams. Collaborating with distributed teams across various regions and time zones.
Senior Platform Engineer, Data Platform
Senior Platform Engineer joining the Data Platform team to manage identity and security services. Role involves backend work, Dgraph internals, and cross-team collaboration.
Principal Engineer I – Prepurchase Platform
Principal Engineer I specializing in building backend services for Ticketmaster's Prepurchase Platform. Writing code, solving problems, and modernizing systems for high-demand ticket sales.
Staff Platform Engineer
Staff Platform Engineer responsible for Moxie's infrastructure and incident response, utilizing DevOps and SRE practices to ensure platform reliability. Focus on cloud systems and CI/CD pipelines.
Senior Software Engineer, Identity Platform
Senior Software Engineer at Prove developing identity verification solutions. Collaborating with teams to build robust and high-performance applications.
Senior AIOps Platform Engineer
Senior AIOps Strategy & Implementation Engineer at EY optimizing observability platforms and building automation workflows in cloud and on-prem environments.
Principal Software Engineer, MDR Platform
Senior Software Engineer developing and maintaining core Golang applications for cybersecurity operations. Collaborating across teams and shaping architectural direction in a growing MDR platform.
Data Engineer – Platform
Data Engineer, Platform at DraftKings building and scaling data ingestion pipelines. Enhance customer experiences and streamline operations through innovative data solutions.
Platform Engineer
Platform Engineer supporting design and operation of Marathon’s cloud infrastructure. Collaborating with teams to implement automation, IaC, and maintain operational standards.
Senior Data Engineer – Data Platform
Senior Data Engineer building and operating foundational data infrastructure for analytics at SunStrong Management. Collaborates with teams to deliver production-grade solutions with quality controls and security.
Platform Engineer
Platform Engineer developing backend systems and infrastructure for financial platforms at Shift Markets. Building scalable systems with TypeScript and Python in a flexible remote environment.
Senior Mobile Engineer – Cross-Platform
Senior Mobile Engineer responsible for developing the Grove patient-facing mobile application. Collaborating with offshore teams and ensuring high-quality mobile experiences across iOS and Android.
Senior Software Engineer, Platform
Senior Software Engineer responsible for developing data-intensive APIs and maintaining infrastructure systems. Collaborate within a cross-functional team in a remote environment across Canada.
Platform Engineer – Karriereambitionen
Platform Engineer developing cloud projects at Auralis Group. Leading teams and managing cloud infrastructures with flexible remote working conditions.
Principal Engineer – Platform Engineering
Principal Engineer focusing on Kubernetes platform strategy and implementation at Cisco. Leading cloud-native infrastructure projects and mentoring senior engineering teams.
Staff Software Engineer, Platform
Staff Software Engineer leading infrastructure to enhance the AI platform at Cake. Responsible for designing, operating, and owning the ML platform systems end-to-end.
Senior Microsoft 365 Platform Engineer
Senior Microsoft 365 Platform Engineer managing Microsoft 365 collaboration, identity, and endpoint management platforms at Repligen. Responsible for engineering, administration, governance, and continuous improvement.
Staff Frontend Engineer, Client Data & Networking Platform
Frontend Engineer empowering Airbnb teams to build fast, reliable, and data-rich features at scale. Collaborating with product engineers to implement infrastructure improvements.