Technical Lead (Applied AI) at xby2

<div> <p data-renderer-start-pos="1" data-local-id="0579836cab12">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.</p> <p data-renderer-start-pos="423" data-local-id="b2af7eb369a1">We are looking for a <strong data-renderer-mark="true">Technical Lead</strong> 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.</p> </div> Responsibilities • 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. 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 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 • 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 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 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.