Job description

Glenview, IL · Posted 2 days ago Apply now About the Company Our client is looking for a hands-on engineering leader to guide the modernization of legacy applications into AI-ready enterprise platforms. This role blends team leadership with active technical work: you will manage a small group of engineers, shape platform architecture, and turn the organization’s AI strategy into a practical roadmap that delivers scalable, reliable systems. Responsibilities : • Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities • Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems • Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale • Work with business analysts to deliver secure, maintainable, production-ready solutions • Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards • Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment • Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs • Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth Experience : • Bachelor’s degree in computer science, software engineering, IT, or a related field, or equivalent experience • 5+ years of software development and architecture experience on production applications • Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups • Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL • Solid grasp of architecture, security, CI/CD, scalability, and observability • Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale • Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences • MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws. Apply for this role

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Must-haves

Glenview, IL
Posted 2 days ago
Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities
Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems
Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale
Work with business analysts to deliver secure, maintainable, production-ready solutions
Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards
Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment
Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs
Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth
Bachelor’s degree in computer science, software engineering, IT, or a related field, or equivalent experience
5+ years of software development and architecture experience on production applications
Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups
Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL
Solid grasp of architecture, security, CI/CD, scalability, and observability
Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale
Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences
Apply for this role

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Keywords to mirror

aimlazurepythonreacttypescriptrestsqlci/cd

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