Wir sind CARIAD, das Automotive-Software-Unternehmen der Volkswagen Group. Unsere Teams entwickeln Softwareplattformen und digitale Kundenfunktionen für legendäre Marken wie Audi, Volkswagen und Porsche – und unterstützen so die Volkswagen Group auf ihrem Weg zum führenden automobilen Technologiekonzern. CARIDIANS in Softwarezentren in Deutschland, den USA, China, Estland und Indien arbeiten daran, die Automobilität für alle neu zu gestalten. DEIN TEAM Innerhalb der AI-Architektur befähigen wir den CARIAD ADAS-Stack (CAS), KI-getrieben zu arbeiten. Wir sind dafür verantwortlich, das Deployment, die Optimierung und das Performance-Management unserer KI-Modelle sicherzustellen und steuern die gesamte CAS-Entwicklung in ihrer KI-Weiterentwicklung. DEINE AUFGABEN - Definition und Weiterentwicklung einer konzernweiten AI‑Data‑Strategy für Realwelt‑, synthetische und Simulationsdaten. - Verantwortung für die End‑to‑End Datenarchitektur im ADAS/AD‑Stack inkl. Qualitäts-, Validierungs- und Repräsentativitätsrichtlinien. - Funktion als Technical Authority für KI‑Datenarchitektur: Entscheidungen über Standards, Governance, Plattformen und technische Guardrails. - Strategische Steuerung und Alignment über mehrere Produktlinien und cross‑funktionale Expertenteams hinweg. - Repräsentation von CARIAD in technischen Gremien, Publikationen und Fachkonferenzen zur Weiterentwicklung des Standes der Technik. DAS BRINGST DU MIT - Tiefgreifende Expertise in KI‑Systemen für Wahrnehmung, Planung und End‑to‑End‑Models sowie in hybriden Datenquellen (Realwelt, synthetisch, Simulation). - Langjährige Erfahrung als Principal / Senior Staff Engineer mit organisationsweiter technischer Verantwortung. - Umfassendes Wissen über datengetriebene Systementwicklung, einschließlich Toolchains, Datenqualitätsmetriken und sicherheitskritischer Validierung. - Starke Architektur‑Skills im Aufbau skalierbarer ML‑/Data‑/Simulation‑Plattformen und Erfahrung mit technischen Governance‑Strukturen. - Hervorragende Kommunikations‑ und Leadership‑Fähigkeiten, inkl. Stakeholder‑Steuerung auf Executive‑Ebene. NICE TO KNOW - Optionen für Remote-Arbeit - Temporäre Arbeit aus dem Ausland in ausgewählten Ländern - Gleitzeit/Wahlarbeitszeit - Betriebliche Altersvorsorge - Jährliche berufliche Weiterentwicklung - Sabbatical-Option bis zu 6 Monaten - 30 Tage bezahlter + 10 Tage unbezahlter Urlaub - Möglichkeit zum Autoleasing für den VW-Konzern - Wenn Du weitere Fragen zur Candidate Journey bei CARIAD hast, dann kontaktiere uns gerne: careers@cariad.technology Bei CARIAD schätzen wir Individualität und Vielfalt – denn wir sind überzeugt, dass uns unsere Unterschiede stärker machen. Wir setzen uns aktiv dafür ein, Teams mit unterschiedlichen Hintergründen, Perspektiven und Erfahrungen aufzubauen. Unser Ziel ist ein Arbeitsumfeld, in dem sich alle wertgeschätzt fühlen und ihre Stärken einbringen können. Wenn du aufgrund einer Behinderung Unterstützung bei deiner Bewerbung brauchst, melde dich gerne bei uns unter careers@cariad.technology – wir helfen dir gerne weiter.

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM Within AI-Architecture, we are enabling the CARIAD ADAS Stack to be AI-driven. For this, we are responsible for the deployment, optimization and performance management of our AI models and guide the overall CAS development in its AI-development. WHAT YOU WILL DO - Definition and further development of a group-wide AI data strategy for real-world, synthetic, and simulation data. - Responsibility for the end-to-end data architecture within the ADAS/AD stack, including quality, validation, and representativity guidelines. - Function as the technical authority for AI data architecture: decisions on standards, governance, platforms, and technical guardrails. - Strategic steering and alignment across multiple product lines and cross-functional expert teams. - Representation of CARIAD in technical committees, publications, and professional conferences to advance the state of the art. WHO YOU ARE - Deep expertise in AI systems for perception, planning, and end-to-end models, as well as in hybrid data sources (real-world, synthetic, simulation). - Many years of experience as a Principal / Senior Staff Engineer with organization-wide technical responsibility. - Comprehensive knowledge of data-driven system development, including toolchains, data quality metrics, and safety‑critical validation. - Strong architecture skills in building scalable ML/Data/Simulation platforms and experience with technical governance structures. - Excellent communication and leadership skills, including executive‑level stakeholder management. NICE TO KNOW - Remote work options - Temporary work from abroad in selected countries - Flextime / optional working hours - Company pension plan - Annual professional development - Sabbatical option up to 6 months - 30 days paid + 10 days unpaid leave - Possibility for VW Group car leasing - If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

• Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support • Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions • Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics • Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration • Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS PostgreSQL, S3, and approved AI services; follow security and access control standards • Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns • Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery • Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting • Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing • Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement • Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies • Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption

We're looking for an AI Solutions Engineer to join a boutique AI consulting firm that builds practical, high-impact solutions for small and midsize businesses. The ideal profile is a former full stack software engineer who has evolved into a forward deployed, client-facing role and is comfortable doing both. You will sit in front of clients, understand their business problems, translate those problems into technical architectures, and build the solutions yourself. You do not hand off to another team. You design, build, deploy, and support. This is not a pure engineering role and it is not a pure consulting role. It is both. If you can hold a professional conversation with a small business owner, earn their trust, and then go build them something that actually works, this role is built for you. Why You'll Want to Join - You will be paid in USD (bi-monthly: every 15th and 30th) - Paid Time Off in accordance with company policy - Observance of Holidays per company guidelines - 100% remote setup so you can work wherever you're most productive - Project-based engagement to start with clear path to part-time or full-time - Direct client exposure from day one with real ownership over solutions you design and build What You'll Work On Client-Facing Solution Design - Engage directly with small and midsize business clients to understand their workflows, pain points, and goals - Translate business requirements, pitch concepts, and operational processes into clear technical architectures and implementation plans - Produce system diagrams, integration maps, and technical recommendations that non-technical business owners can understand and act on - Present solutions confidently and adapt communication style to match the client's level of technical fluency AI Agent and Workflow Implementation - Design, build, and deploy custom AI agents and automated workflows using orchestration platforms such as Make.com, n8n, Zapier, or Lindy.ai - Integrate AI capabilities into client workflows in ways that are practical, reliable, and maintainable without a large technical team to support them - Assess new tools quickly, recommend the right implementation path, and build solutions that prioritize reliability over complexity Systems Integration and Custom Development - Connect client applications, CRMs, ERPs, databases, and communication tools through API integrations - Write and troubleshoot lightweight Python or JavaScript code to handle API calls, data transformation, business logic, and edge cases that no-code tools cannot cover - Configure and manage cloud services as needed to support client deployments - Deploy integrations with appropriate error handling, logging, and basic security practices so solutions stay stable after handoff Testing, Documentation, and Ongoing Support - Validate solutions end to end to ensure they work reliably and handle expected failure cases before going live - Produce clear technical documentation, integration notes, and handoff materials that can be supported and expanded over time - Assist with ongoing maintenance, monitoring, troubleshooting, and iterative improvements for deployed workflows What You Bring - Background as a full stack software engineer with a natural evolution toward client-facing, solutions-oriented work - Strong proficiency in Python and JavaScript with working knowledge of SQL - Hands-on experience designing and implementing AI-enabled workflows using orchestration platforms such as Make.com, n8n, Zapier, or similar tools - Proven ability to connect applications via APIs and build integrations that work reliably in production - Comfort translating business problems into technical solutions without needing deep theoretical guidance - Excellent written and verbal communication in English, both in client-facing conversations and in technical documentation - Experience working directly with clients or business stakeholders in a consulting, agency, or solutions engineering capacity - Understanding of SMB business environments and what practical, low-overhead solutions look like for that market Nice to Have - AI, cloud, or software certifications such as AWS, Azure, Google Cloud, OpenAI, or automation platform certifications - Knowledge of LLMs, vector databases, and prompt engineering - Familiarity with common SMB tools such as HubSpot, Salesforce, QuickBooks, or similar platforms - Experience with OAuth, API tokens, environment variables, and deployment configuration basics - Familiarity with lightweight databases, data mapping, and troubleshooting broken integrations - Experience producing architecture diagrams or implementation plans for non-technical stakeholders How to Apply Please include: - Your updated resume - A short Loom video (1 to 2 minutes) introducing yourself, describing your engineering background, and walking through a client-facing or solutions engineering project you owned from discovery through deployment Only candidates who submit a Loom video will be moved to the next step of the hiring process. If you are a builder who can also sell the solution, communicate with clarity at every level of the conversation, and wants to do meaningful work for businesses that actually need it, this role gives you the technical depth and the client access to do your best work. Application Process Overview Our comprehensive selection process ensures we find the right fit for both you and our clients: - Initial Application - Submit your application and complete our prequalifying questions - Video Introduction - Record an video introduction to showcase your communication skills and work experience - Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable) - Recruitment Interview - Initial screening with our talent team - Executive Interview - Meet with senior leadership to discuss role alignment - Client Interview - Final interview with the client team you'd be supporting - Background & Reference Check - Professional reference verification - Job Offer - Successful candidates receive a formal offer to join the team Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.