10 дней назад
Enterprise AI Architect & Agentic Platform Lead (AI)
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): Leading the architecture, governance, and operation of HARMAN’s enterprise AI platform with an accent on cloud-native systems, agent-based applications, RAG, security, and scalable platform engineering. Focus on defining reference architectures and integration standards, building governance and observability practices, and managing engineering teams delivering secure AI capabilities at enterprise scale.
Location: Garching, Bavaria, Germany. Hybrid work environment with most office-based roles onsite three days a week; up to 25% domestic and international travel.
Annual gross base salary: €138,550–€179,300.
Company
develops integrated technology platforms and solutions across automotive, lifestyle, and digital transformation markets.
What you will do
- Lead, coach, and grow a team of AI Platform Engineers, Solution Architects, and Agent Developers.
- Set organizational priorities, resource plans, delivery roadmaps, engineering standards, KPIs, and operational metrics.
- Own the availability, scalability, performance, security, and continuous improvement of the Enterprise AI platform.
- Define enterprise AI reference architecture, integration standards, governance forums, and operational controls.
- Coordinate planning with Data, Cybersecurity, Infrastructure, Digital Workplace, and business leaders.
- 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, with 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, evaluation methodologies, observability practices, and operational controls.
- Proven experience managing engineering or architecture teams, including teams of 4+ engineers or architects.
- Experience with operational planning, roadmaps, vendor relationships, technology investments, and translating business strategy into technical execution.
Nice to have
- Experience with Azure, AWS, Google Cloud, OpenAI, Anthropic, or similar AI and cloud ecosystems.
- Cloud architecture, enterprise architecture, cybersecurity, or AI-related certifications.
- Experience scaling enterprise AI engineering organizations and managing globally distributed teams.
- Experience with responsible AI, model risk management, AI governance, and compliance frameworks.
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 opportunities through University programs.
- Inclusive environment supporting professional and personal development.
- Benefits may include paid time off, holidays, leave programs, health and wellbeing support, and retirement or savings plans, depending on the country and employment arrangement.
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