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Director, Sales Engineering​/Solution Architecture – GenAI & Automotive Solutions; Global

Job in Littlestown, Adams County, Pennsylvania, 17340, USA
Listing for: Cerence
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Job Description & How to Apply Below
Position: Director, Sales Engineering / Solution Architecture – GenAI & Automotive Solutions (Global)

Employer Industry: Automotive Software and AI Solutions

Why consider this job opportunity:
  • Opportunity for career advancement and growth within a leading global organization
  • Work in a collaborative, international environment that values technical leadership and creativity
  • Play a key role in shaping customer success and the future of automotive AI innovation
  • Involvement in cutting‑edge AI technologies with a passionate and dedicated team
  • Chance to influence product roadmap priorities and drive standards in the industry
What to Expect (Job Responsibilities):
  • Lead and manage a team of Sales Engineers and Solution Architects, focusing on hiring, coaching, and performance management
  • Own the technical strategy for pre‑sales and delivery, ensuring alignment with product direction
  • Oversee customer engagements from discovery through solution design and delivery
  • Develop and implement best practices for Generative AI architectures and orchestration frameworks
  • Collaborate with Sales, Product Management, Engineering, and Professional Services to shape customer‑ready solutions
What is Required (Qualifications):
  • 6+ years of experience in solution engineering, technical pre‑sales, or enterprise architecture, preferably in AI, automotive, or cloud‑native software
  • Proven leadership experience with technical teams or organizations
  • In‑depth understanding of Generative AI technologies and modern software/cloud architectures
  • Strong executive‑level communication skills and experience with senior customer stakeholders
  • Willingness to travel globally as required
How to Stand Out (Preferred Qualifications):
  • Proficiency in German is an advantage
  • Familiarity with LLMs, SLMs, RAG, and orchestration frameworks

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