Detroit Labs is looking for experienced Technical Architects with expertise in AI to join an exciting project with an existing client that drives game-changing automotive technology. This role will work on connected vehicle services for customers owning vehicles with connected capabilities across the USA and Canada.
Requirements
- 8+ years of professional experience in AI/ML architecture and engineering
- 5+ years of hands-on experience designing, developing, and deploying chatbot solutions in production
- Deep expertise with Google Cloud AI products, including Vertex AI, Google Cloud AI Platform, Dialogflow, Cloud Natural Language API, Cloud Translation API, and TensorFlow is required
- Strong understanding of NLP, NLU, and ML algorithms for conversational AI
- Proficiency in programming languages commonly used in AI/ML development (Java, Python, Go)
- Experience architecting scalable, secure AI solutions on cloud platforms (GCP required; AWS or Azure a plus)
- Hands-on experience integrating chatbots with enterprise data sources, APIs, and knowledge systems
Responsibilities
- Architect, design, and lead the development of AI/ML solutions, with a primary focus on intelligent chatbot systems using Google Cloud AI products
- Build advanced chatbots that act as intelligent agents, capable of retrieving and delivering information from company-approved data sources
- Implement NLP and NLU systems to improve natural conversational experiences and context-aware interactions
- Design and deploy scalable, reliable, and secure AI systems into production environments
- Integrate diverse data sources and APIs to enable accurate, real-time responses within chatbot workflows
- Establish strategies for continuous learning and performance optimization using ML feedback loops
- Ensure adherence to data privacy regulations, security standards, and NHTSA/TREAD compliance requirements
Other
- This role is based in Auburn Hills, Michigan, and follows a hybrid work model, requiring in-office presence three days per week.
- Prior experience with TREAD reporting is required
- Prior experience working with NHTSA standards and regulations is required
- Proven ability to lead projects, mentor engineers, and align AI solutions with business needs
- Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to deliver AI-driven business solutions
