Addison Group
Sr Manager, Full Stack Engineering & AI Architecture
Skills
4 days ago
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Important information
Contract type:
Permanent
Location:
Glenview, IL, USA
Work mode:
Onsite
Published on:
22 October 2026
What they need
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
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