Technical Lead AI Accelerated Software Engineering

Responsibilities

• Lead architecture, design, development, testing, and deployment of enterprise software solutions (applications, data, integration, AI agents, AI models)
• Translate fuzzy, ambiguous business problems into concrete, well-scoped technical solutions that teams can execute against
• Participate in strategy and roadmap discussions, architecture definition, and technology evaluations
• Mentor engineers through design reviews, code reviews, and technical guidance
• Quickly evaluate and adopt new tools, technologies, and platforms to build prototypes and proofs-of-concept
• Drive adoption of the use of AI in the software development life-cycle with engineering teams, product leaders, and domain experts to deliver results
• Design, develop, and maintain scalable, production-grade enterprise applications using modern languages and frameworks (e.g., Python, Java, C#, JavaScript)
• Define and enforce coding standards, best practices, and design patterns across the team
• Build a strong testing culture, including unit, integration, and end-to-end testing, and design systems for testability from the outset
• Establish and evolve automated testing strategies and quality gates within CI/CD pipelines
• Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud-deployed services (AWS, Azure)
• Integrate enterprise systems using common approaches such as APIs, event-driven architectures, and messaging platforms
• Identify and resolve performance bottlenecks, technical debt, and system reliability issues

Qualifications

• 6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions
• 1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect
• 1+ years in AI-augmented software development of enterprise solution
• Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering (Optional) Master's Degree or Minor in AI/Machine Learning
• Programming (e.g., Python, Java, C#, JavaScript)
• Data (e.g., Relational Modeling, SQL, Document Databases, Graph Databases)
• Integration & Messaging: REST/GraphQL APIs, event-driven architectures, and messaging platforms (e.g., Kafka, RabbitMQ, Azure Service Bus)
• Containerization (e.g., Docker, Kubernetes)
• Cloud Platforms (e.g., AWS, Azure)
• AI Engineering Skills: AI-Augmented Development: Using AI coding assistants to accelerate software development (e.g., GitHub Copilot, Claude Code, OpenAI Codex, Cursor) LLM Prompt Engineering & Fine-Tuning: Designing effective prompts, system instructions, and fine-tuning strategies for LLM applications within the context of the software development life-cycle.

Location

Metro Detroit Area in Michigan
Hybrid: Flexibility to work remotely, but not fully remote
Travel to X by 2 offices (Farmington Hills, MI) and client sites (within US) is required when requested

Work Environment and Culture

Work alongside smart, collaborative people who continually challenge and invest in each other
Partner with seasoned architects to solve hard problems and challenge assumptions
Small teams mean real ownership, with growth and responsibilities driven purely by individual performance
Everyone has a voice and is encouraged to shape the company by sharing their interests, ideas, and feedback