Principal AI Architect

Job not on LinkedIn

🔥 0 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $132.8k - $250.8k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Define Ford Credit’s multi-year enterprise AI architecture strategy, target states, transition roadmaps, standards, and investment priorities • Establish an AI-native software delivery lifecycle based on specifications, bounded execution, automated validation, evidence, and learning loops • Create reusable patterns for architecture manifests, technical plans, contracts, acceptance criteria, authority boundaries, escalation rules, and evidence bundles • Architect production agentic systems integrating models, retrieval, tools, skills, memory, state, orchestration, permissions, evaluation, observability, and recovery • Define risk-tiered autonomy, checkpoints, pause gates, human oversight, and auditable decision trails • Establish evaluation practices including automated and regression testing, adversarial testing, human review, user acceptance, and production outcome monitoring • Set patterns for authoritative enterprise knowledge, including provenance, freshness, retrieval, versioning, structured context, and durable memory • Design and govern scalable AI applications and platforms on Google Cloud using services such as Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub • Embed Zero Trust, identity and access controls, data protection, software supply-chain security, and incident response into AI and cloud architectures • Address AI-specific risks including prompt injection, data leakage, tool misuse, excessive agency, insecure retrieval, poisoning, and unsafe generated code • Guide modernization of hybrid and legacy systems through modular architectures, APIs, events, observability, and transition plans • Turn architectural decisions and lessons learned into reference architectures, golden paths, validators, templates, runbooks, and platform capabilities • Advise senior leaders and align engineering, product, cybersecurity, data, legal, privacy, risk, procurement, and operations teams • Manage and develop an assigned team of architects through prioritization, delegation, coaching, performance management, and succession planning • Use enterprise-approved AI tools for eligible architecture research, synthesis, prototyping, and drafting while preserving confidentiality and human accountability

🎯 Requirements

• A bachelor’s degree in computer science, engineering, information systems, cybersecurity, or a related field, or equivalent practical experience • At least 12 years of progressive technology experience • At least eight years in architecture roles • Sustained responsibility for enterprise or cross-domain decisions • Experience architecting and operating enterprise AI/ML systems in production • Experience with generative AI, large language models, retrieval-augmented generation, agentic workflows, evaluation, observability, and model lifecycle management • Deep cloud architecture experience on Google Cloud or a comparable hyperscaler • Strong security architecture expertise spanning Zero Trust, identity, authorization, secrets, APIs, threat modeling, data protection, and software supply-chain security • Strong understanding of AI safety and security risks • Record of creating standards, reference architectures, roadmaps, and guardrails used across teams • Fluency in modern software delivery and production operations • Formal people-management experience • Ability to communicate complex technical and investment trade-offs to executives and engineers • Legally authorized to work in the United States • Master’s degree in a related discipline, Google Cloud professional certifications, and hands-on familiarity with Google Cloud services are preferred

🏖️ Benefits

• Immediate medical, dental, vision and prescription drug coverage • Flexible family care days • Paid parental leave • New parent ramp-up programs • Subsidized back-up child care • Family building benefits including adoption and surrogacy expense reimbursement • Fertility treatments • Vehicle discount program for employees and family members • Management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • Generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off • Option to purchase additional vacation time