Technical Lead AI Accelerated Software Engineering

Job Description

Job Description

X by 2 is a technology consulting firm specializing in healthcare and insurance transformation. For over 25 years, we have partnered with leading organizations across North America, from strategy and architecture to system modernization, data analytics, and AI, delivering high-impact solutions from start to finish. We're agile, collaborative, and deeply committed to doing consulting the way it was meant to be done.

We are looking for a Technical Lead who will lead the design and development of enterprise software solutions. You'll combine hands-on engineering with leadership, guiding architecture decisions, mentoring teams, and building solutions.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.