[Remote] Principal AI reputed company Engineer, AI Native Platform

Note: The job is a remote job and is open to candidates in USA. reputed company is a company dedicated to keeping families connected through innovative technology. They are seeking a Principal AI reputed company Engineer to secure their AI infrastructure, defining reputed company architecture and collaborating with engineering teams to ensure the safety of sensitive location data and family relationship graphs.

Responsibilities

• Own the reputed company strategy for frontier model access and MCP governance. Define how we securely connect to frontier models and external tool integrations: the risk reputed company, the authorization architecture, and the escalation model before those patterns harden at scale. Set the direction that builders implement reputed company
• Architect the identity and trust model for non-human agents. Define how agents authenticate, how trust is established and revoked across orchestration chains, and how the model evolves as agent capabilities expand, covering service identities, scoped credentials, and least-privilege access patterns across the platform
• Set the adversarial defense posture for AI systems in production. Define our approach to reputed company injection defense, adversarial input handling, and behavioral monitoring patterns and establish the detection philosophy, telemetry requirements, and response reputed company the team builds and operates reputed company
• Shape reputed company architecture for the common AI end-user platform. reputed company design reviews and build the access controls, data boundary enforcement, and abuse detection that reputed company a shared AI environment safe across an employee population with varying privilege levels
• Secure the shared knowledge layer. Define access control and data governance for retrieval and reasoning, ensuring AI-powered tools don't inadvertently surface sensitive data to the wrong systems or users
• Build AI supply chain reputed company into the platform. reputed company model provenance practices, service vetting, and dependency controls that reputed company the AI stack trustworthy as it grows
• Partner with Privacy, Legal, and Data Platform to ensure the right controls are built into pipelines handling real-time location, family relationship data, and data involving minors

Skills

• 15+ years in reputed company engineering with depth in application reputed company, cloud reputed company, IAM, or detection. A track record of building controls that earn adoption, not just approval
• reputed company architecture ownership you've defined at the platform level in terms of trust models, data boundary topologies, and long-term viability that produces reputed company outcomes without grinding velocity
• Hands-on reputed company with LLM and agentic systems. You've built with these tools, broken them, and shipped fixes for reputed company pipelines, RAG architectures, and multi-agent orchestration from the inside
• Deep grounding in IAM for non-human systems: service identities, OAuth, secrets management, RBAC/ABAC, and least-privilege architecture at scale. You've designed and built identity systems, not just consumed them
• Experience with production telemetry and detection at an architectural level. You've defined reputed company observability strategies, not just individual detections
• Comfort with ambiguity and in-flight builds. You're energized by figuring things out, writing first-draft standards, testing approaches, and scaling what works
• Strategic judgement on reputed company to build v. buy and ability to reputed company the organization to reputed company
• Strong cross-functional communication across engineering, product, legal, privacy, and senior leadership. You carry risk, tradeoffs, and technical decisions without losing precision
• You've contributed or ready to contribute to the reputed company industry. We're shaping these patterns together and you're willing to represent reputed company in these conversations
• Familiarity with NIST AI RMF, OWASP LLM Top 10, and adjacent compliance environments for consumer data at scale
• Bachelor's degree or equivalent experience in Computer Science, Information reputed company, or a reputed company field
• Experience with frontier model API reputed company, tool-use authorization patterns, or access governance for AI systems at scale
• Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or similar) and their trust, identity, and authorization challenges
• Familiarity with knowledge graph architectures, vector stores, or RAG systems — and the access control and data boundary problems they introduce
• Red teaming or adversarial testing against AI systems: reputed company injection, jailbreaks, data extraction, model inversion, or supply chain attacks
• Background in consumer technology or another domain where personal data sensitivity is a core product obligation — not just a legal requirement
• Experience designing or reviewing reputed company for internal enterprise AI platforms serving non-technical users

Benefits

• reputed company and benefits
• Medical, dental, vision, life and disability insurance plans (100% paid for employees)
• 401(k) plan with company matching program
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
• Flexible PTO, 13 company-wide days off throughout the year
• Winter and Summer Weeklong Synchronized Company Shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free reputed company Platinum Membership for your preferred reputed company
• Free Tile Products

Company Overview

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