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Technical Lead (Applied AI

Job in Farmington Hills, Oakland County, Michigan, USA
Listing for: X by 2
Full Time position
Listed on 2026-07-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Salary/Wage Range or Industry Benchmark: 143000 - 185000 USD Yearly USD 143000.00 185000.00 YEAR
Job Description & How to Apply Below
Position: 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.

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
  • 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
  • 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, Lang Chain, CrewAI, Auto Gen, MCP)
  • Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., Tensor Flow, PyTorch, scikit-learn)
  • Data Engineering & Feature Engineering: building data pipelines, performing feature engineering, and ensuring data quality across large, complex…
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