7 дней назад
Enterprise AI Architect / Agentic Platform Lead (m/f/d)
138 550 - 179 300€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise AI Architect / Agentic Platform Lead (AI platforms and cloud architecture): Leading the architecture, governance, and operational delivery of HARMAN’s enterprise AI ecosystem with an accent on scalable platform engineering, agent-based systems, security, and enterprise integration. Focus on defining AI reference architecture, managing AI engineering teams, establishing responsible AI governance, and operating reliable platforms across enterprise environments.
Location: Garching, Bavaria, Germany; hybrid work with most office-based roles onsite three days per week. Travel of up to 25% domestically and internationally is required.
Annual gross base salary: €138,550–€179,300.
Company
develops connected technology platforms and solutions across automotive, lifestyle, and digital transformation markets.
What you will do
- Lead and develop a team of AI Platform Engineers, Solution Architects, and Agent Developers, with 4+ direct reports.
- Set organizational priorities, resource plans, delivery roadmaps, engineering standards, KPIs, and operational metrics.
- Own the availability, scalability, operational performance, and continuous improvement of the Enterprise AI platform.
- Define enterprise AI reference architecture, integration standards, governance forums, evaluation methodologies, and operational controls.
- Coordinate delivery with Data, Cybersecurity, Infrastructure, Digital Workplace, business leaders, and global engineering teams.
- Manage budgets, technology investments, vendor relationships, hiring, mentoring, and succession planning.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, plus 6+ years of experience in enterprise architecture, cloud architecture, software architecture, or platform engineering.
- Deep expertise in cloud-native architecture, distributed systems, APIs, data platforms, security architecture, and enterprise integration patterns.
- Strong knowledge of AI application architecture, agent-based systems, retrieval-augmented generation, orchestration frameworks, vector databases, and modern AI development ecosystems.
- Experience defining architecture standards, governance frameworks, observability practices, evaluation methodologies, and operational controls for enterprise platforms.
- Proven experience managing engineering or architecture teams of 4+ engineers or architects, including hiring, coaching, performance management, and career development.
- Experience developing roadmaps and operational plans, managing vendors and investments, influencing senior leadership, and balancing strategic architecture with operational delivery.
Nice to have
- Experience with Azure, AWS, Google Cloud, OpenAI, Anthropic, or similar AI ecosystems.
- Certifications in cloud architecture, enterprise architecture, cybersecurity, or AI-related technologies.
- Experience scaling enterprise AI engineering organizations and managing globally distributed teams.
- Experience with responsible AI, model risk management, AI governance, compliance frameworks, cloud budgets, and vendor contracts.
Culture & Benefits
- Hybrid work environment balancing flexibility with in-person collaboration.
- Employee discounts on and Samsung products, including JBL, Kardon, and AKG.
- Learning and development through University programs, training, and continuing education.
- Inclusive environment supporting professional and personal development.
- Paid time off, holidays, sick and family leave, health and wellbeing support, and retirement or savings plans where applicable.
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