Technical Architect - Agentic AI (Hybrid)

This role is based in Auburn Hills, Michigan, and follows a hybrid work model, requiring in-office presence three days per week.

Please note: Due to the in-office requirement, we will only be considering candidates that are local to the Metro Detroit area at this time.

Detroit Labs was founded in 2011 with a vision for building digital products, services, and the teams that power them. We create digital solutions that transform the way our clients do business. We build genuine relationships based on respect, trust, and results. We foster a diverse and inclusive culture that values people - providing them with the tools, resources, and support they need to thrive professionally, exceed client expectations, and be themselves at work. We have a variety of client teams we work with ranging from startups to Fortune 500 companies so there are always new and exciting projects going on.

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. As a full time member of our Staff by Detroit Lab team, we prioritize your individual career growth by providing optional check-in support, and access to a variety of learning resources to ensure you are always growing and working towards your goals.

Our Application

At Detroit Labs, a member of our team will read over every application (including yours), and will review your resume in addition to your responses to the application questions.

To help us get to know you better, we encourage you to answer these questions genuinely and honestly. We value each applicant and want to learn about the real you. Be yourself in your responses, and our team will look forward to understanding what you can bring to this role!

• 8-10 years of professional experience in AI/ML architecture and engineering, Data Science, Machine learning
• 5-8 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

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

• The salary for this role is $180,000-190,000 commensurate with experience
• 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