Technical Lead (Applied AI) at X by 2 (Metro Detroit)Technical Lead (Applied AI)

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 AI solutions within enterprise environments for our clients. You'll combine hands-on engineering with leadership, guiding architecture decisions, mentoring teams, and building solutions.

- Technical Leadership & Architecture

- Lead architecture, design, development, testing, and deployment of enterprise software solutions (applications, data, integration, AI agents, AI models)

- 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 AI solutions and collaborate 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 (Python, Java, C#, JavaScript)

- Define and enforce coding standards, best practices, and design patterns across the team

- Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud-deployed services (AWS, Azure)

- Integrate enterprise systems via APIs, event-driven architectures, and messaging platforms

- Identify and resolve performance bottlenecks, technical debt, and system reliability issues

- Data & Analytics

- Work with large, complex datasets and ensure data quality and integrity

- Analyze data to generate insights that inform both model development and broader solution strategy

- Collaborate with stakeholders to translate business problems into data-driven solutions

- AI / Machine Learning Development

- Design, develop, and train machine learning and deep learning models for healthcare and insurance use cases

- Perform data modeling and feature engineering to support model development

- Develop custom model metrics and approaches tailored to specific business problems

- Ensure models are scalable, reliable, and integrated into production systems

- Agentic AI Development

- Design and develop LLM-powered workflows and agentic systems that help users complete complex tasks, retrieve information, reason over enterprise data, or interact with internal systems.

- Integrate LLMs with tools, APIs, databases, documents, and enterprise platforms using patterns such as function calling, MCP, RAG, and structured tool use.

- Architect orchestration patterns for planning, task decomposition, memory, context management, and human-in-the-loop review where appropriate.

- Develop orchestration layers to manage agent planning, memory, task decomposition, and execution loops

- Evaluate agentic systems for correctness, reliability, safety, observability, auditability, and harden them for production readiness.

- Stay current with emerging AI frameworks and platforms, selecting tools pragmatically based on client needs.

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- 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 developing AI agents and/or AI model development and training

- Education

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

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

- AI Engineering Skills (Two or More)

- Agentic AI: building and integrating autonomous AI agents using LLM APIs and orchestration frameworks (e.g., Anthropic Claude, OpenAI GPT, LangChain, CrewAI, AutoGen, MCP)

- Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

- Data Engineering & Feature Engineering: building data pipelines, performing feature engineering, and ensuring data quality across large, complex datasets

- Context Engineering: Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG techniques implementing retrieval-augmented generation patterns using vector stores (e.g., Pinecone, Weaviate, pgvector, ChromaDB), .

- LLM Prompt Engineering & Fine-Tuning: designing and evaluating effective prompts, system instructions, and fine-tuning strategies for production LLM applications

- AI Evaluation & Production Readiness: defining evaluation methods, testing model behavior, monitoring performance, and addressing reliability, safety, explainability, and auditability concerns

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- 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 or North Carolina Research Triangle (Raleigh, Durham, Chapel Hill)

- 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

- 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.