AI Manager

Programmers.io; Denver (CO); On-site; USD 180,000 - 240,000; Full time

Job summary

Programmers.io in the United States is seeking a senior AI/ML leader to design GenAI solutions and define enterprise AI roadmaps across data, APIs, and UI.

You will establish architecture standards, drive cross-functional alignment, and guide scalable microservices, event-driven and cloud-native systems, with Python, .NET, Java, and SQL. Face-to-face interview is mandatory for the role; relocation will work.

Qualifications

• AI/GenAI expertise across products and platforms.
• Hands-on ML/NLP/deep learning with scalable architectures.
• Experience designing GenAI solutions (RAG, copilots, conversational AI).
• Ability to define AI roadmaps and enterprise architecture standards.
• Proven cross-functional leadership and decision-making.
• Proficiency in Python, .NET, Java, and SQL.

Skills

AI/GenAI Expertise

Machine Learning

NLP

Deep Learning

Design GenAI solutions

Scalable architectures

Microservices & cloud-native

Programming: Python/ .NET / Java / SQL

AI strategy & leadership

Roadmap & architectural standards

Cross-functional leadership

Job description

Face to Face interview is mandatory for the role.

Relocation will work

Primary Skills (Core Requirements)

• AI/ML & GenAI Expertise
• Machine learning, NLP, deep learning, agentic AI frameworks
• Designing GenAI solutions (RAG, copilots, conversational AI)
• Designing scalable architectures across data, APIs, and UI
• Microservices, event-driven, and cloud-native systems
• Python, .NET, Java, SQL
• AI Strategy & Enterprise Leadership
• Defining AI roadmaps and architecture standards
• Driving cross-functional alignment and decision-making

Secondary Skills (Supporting / Nice-to-Have)

• Contact Center & Telecom Domain
• Voice, chat, IVR analytics and operations
• Advanced AI Use Cases
• Next Best Action (NBA), Next Best Offer (NBO)
• Data Governance & Responsible AI
• Data modeling, KPIs, compliance (PII/PCI)
• Agile & Delivery Collaboration
• Working with PMO/Product teams
• Translating architecture into epics and user stories
• Executive Communication
• Simplifying complex AI concepts for leadership