Technical Lead AI Accelerated Software Engineering

Responsibilities

• Technical Leadership & Architecture

• 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

• Software Engineering

• 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

Experience

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 solutions

Education

Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering

(Optional) Master's Degree or Minor in AI/Machine Learning

Software Engineering Skills

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.

What We're Looking For

You move fluidly between writing code and leading a room, equally comfortable in a design review as you are in a pull request

You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt

You take ownership seriously, on small teams, your decisions have real impact and you're energized by that, not intimidated

You're genuinely curious about AI, not just checking a box, you've experimented with agentic systems, LLMs, or ML tools on your own terms

You communicate clearly with both engineers and non-technical stakeholders, and can translate complexity without dumbing it down

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

Compensation & Benefits

Base salary $143K–$185K, depending on experience, plus profit sharing

Annual raises and promotions based on performance

401(k) with employer match

Comprehensive health, vision, dental, life, and disability insurance coverage, plus voluntary benefits and HSA with employer contribution

Home Office Reimbursement, Health and Wellness Reimbursement, and Professional Dress Allowance

Professional Self-Development Program

Paid vacation, unlimited sick days (as needed), and holidays

Company-sponsored social events and an employee recognition rewards program

Sound Like You?

We're not looking for someone who has done everything, we're looking for someone who is driven to. If you thrive in environments where you can move fast, go deep, and make a real difference for clients solving complex problems in healthcare and insurance, we'd love to hear from you.