Technical Lead; Applied AI

Technical Lead

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

  • 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, Lang Chain, CrewAI, Auto Gen, MCP)

  • Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks…