Back - end Software Engineer developing and enhancing clinical data repositories and APIs at Orion Health. Contributing to engineering best practices and mentoring junior engineers in a hybrid working environment.
About the role
- Technical Architect leading AI/ML development in automotive projects with Google Cloud AI. Focusing on intelligent chatbot systems and collaboration with cross-functional teams in hybrid model.
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
- Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to deliver AI-driven business solutions
- Integrate diverse data sources and APIs to enable accurate, real-time responses within chatbot workflows
- Develop personalization and contextual features to enhance user engagement and customer satisfaction
- 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
- Provide technical leadership, guidance, and mentoring to engineering teams
- Conduct architecture reviews, provide accurate estimates, and ensure solutions meet business goals and timelines
- Stay current with emerging AI/ML research, cloud-native technologies, and conversational AI best practices
- Work a hybrid schedule, coming into the Auburn Hills office at least three days per week
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
- Familiarity with MLOps tools and practices for managing AI/ML model lifecycles
- Experience with speech recognition and text-to-speech technologies
- Familiarity with reinforcement learning techniques for chatbot optimization
- Prior experience with TREAD reporting is required
- Prior experience working with NHTSA standards and regulations is required
- Strong knowledge of data privacy, compliance, and security best practices in AI/ML solutions
- Proven ability to lead projects, mentor engineers, and align AI solutions with business needs
Benefits
- Full medical, dental, vision benefits
- 401K contribution options
- Quarterly outings and events
- Paid vacation
- Parental leave program
- Monthly budgets for “team fun” bonding events
- Free lunch for various company meetings and Lunch & Learns
- Access to our mentorship program and employee resource groups (ERGs)
- Volunteer opportunities
- All-company remote-friendly activities
- Plenty of Detroit Labs swag
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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