Sr Manager, Full Stack Engineering & AI Architecture

Title: Sr. Manager, Full Stack Engineering & AI Architecture

Location: Glenview, Illinois - onsite

Type: Contract to hire

Rate: $97/hr ; $200k conversion salary

Duties and Responsibilities:

• Provide technical direction and leadership for the full-stack development team and contractors, establishing engineering standards, practices, and priorities.


• Set application architecture, technology decisions, design/code reviews, and resolution of complex technical challenges.


• Coach and mentor developers, by doing, while promoting collaboration, accountability, continuous learning, and engineering excellence.


• Partner with Business Analysts so that the technology solutions for the business functions are secure, scalable, maintainable, and production-ready.


• Remain technically engaged through architecture reviews, prototypes, critical development efforts, and evaluation of emerging technologies. Set standards through “hand on” POC creation.


• Assist in developing the enterprise AI strategy into actionable platform roadmaps and technical priorities.


• Partner with data, security, and infrastructure teams to define the end-to-end AI architecture framework, including compute, model lifecycle, and deployment strategies.


• Evaluate emerging technologies, creating POC’s, and recommend platform enhancements to improve model performance, scalability, and sustainability.


• Define and deliver AI / ML / Agentic operations strategy – including tool suite, standards, and technology / capability roadmap.


• Establish POV on key evaluations – including, but not limited to "buy v. build”, platform assessments, tool comparisons, cost / performance optimizations.


• Drive the technical strategy for the platform, balancing short-term needs with long-term scalability and reliability.


• Design, implement, and scale cloud-based infrastructures (Snowflake, Azure) to support internal and external applications.


• Oversee platform architecture decisions, ensuring that the platform is robust, efficient, and capable of supporting growing business needs. Create & test out patterns then provide to the team for scale and implementation.

Qualifications:

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Business Information Systems, or a related field, or equivalent professional experience.


• 5+ years of professional software development experience and architecture, including production applications.


• Demonstrated experience providing technical leadership, mentoring, and direction to software teams.


• Strong experience with Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, SQL and/or PostgreSQL.


• Strong understanding of software architecture, security, CI/CD, scalability, and observability.


• Ability to establish engineering standards, guide technical decisions, and conduct design/code reviews.


• Strong leadership, communication, and collaboration skills.


• Knowledge of AI / ML ecosystems.


• Knowledge in designing MLOps pipelines and AI Ops frameworks at enterprise scale.


• Experience setting technical standards and coordinating across distributed engineering teams.


• Proven ability to lead cross-functional engineering teams and deliver enterprise-scale AI solutions.


• Comfortable navigating new, Client technology solutions and managing ambiguity to deliver in evolving domains.


• Familiarity with security and compliance standards for platform operations.


• Strong analytical and problem-solving skills with a data-driven mindset.


• Excellent communication, project management, and stakeholder engagement skills.


• Comfortable with presenting up to senior leadership (SVP/VP level); able to present technical concepts to non-technical and executive levels.

This position is eligible for Medical, Dental, Vision