Full Stack Agentic AI Engineer Manager/Senior Manager

Responsibilities: Design, build, deploy, and operate end-to-end agentic AI systems across frontend, backend, data, and intelligent components Integrate AI/ML/NLP into workflows to address client problems Implement agentic AI behaviors using human-centered design and hybrid neural-symbolic methods Support complex Mid-Market sales by shaping advanced technical solutions with Sales Participate in discovery sessions to identify challenges and requirements Lead technical demos, workshops, and PoC engagements to demonstrate fit and value Contribute to solution design and input into proposals/SOWs/contracts Provide technical guidance on industry use cases and best practices Develop scalable APIs and services ensuring performance and maintainability Collaborate across product, business, and sales to deliver cohesive outcomes Travel may be required (0–100%)

Key requirements: Minimum 7 years of experience as a full stack AI/ML engineer/scientist in production at scale (monitoring, alerting, debugging, auditing) Minimum 7 years in computer science fundamentals (architecture, systems, programming) Minimum 5 years in distributed computing architectures supporting AI/Agentic AI applications, big data, cloud, grids Minimum 4 years building and deploying AI/ML software to cloud environments Bachelor's degree or equivalent (minimum 12 years) work experience; if Associate’s, minimum 6 years work experience Strong written and verbal communication to non-technical stakeholders Strong client-facing skills in a consulting environment Cross-functional collaboration across internal and client teams Proficiency in Python; familiarity with TensorFlow and PyTorch Experience with LLM APIs and optimizing usage for applications Programming languages: Clojure, C++, Java, R, SQL