Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems
Job Summary
Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems.
Serve as a senior technical expert and thought leader on agentic AI architecture, multi-agent systems, LLM-driven autonomy, and related technologies.
Be a foundational architect in building the next generation of AI for a major global IT distributor.
Matching Summary
Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems.
Salary
Base: $158,900.00 - $270,100.00; Bonus/Equity: Annual bonus or sales incentives and long-term incentives; Benefits: Healthcare, PTO, 401(k) plan and company match, disability coverage, life insurance, wellbeing benefits
Skills & Requirements
Must-have
Agentic AI systems architecture
LLM-driven autonomy
Multi-agent systems
Agent lifecycle management
Knowledge integration frameworks
Tool/API integration layers
Nice-to-have
Ethical AI principles
Technical evangelism
Culture of innovation
Supply chain optimization
Customer/vendor experiences
Key Requirements
Master’s or Ph.D. in Computer Science, AI, Software Engineering
10+ years software engineering and AI/ML development
5-7 years architecting complex distributed AI systems
Hands-on expertise architecting Agentic AI systems
Proficiency in Python and AI/ML libraries
Expert understanding of software architecture principles
Solid experience with MLOps/LLMOps practices
Significant experience with data architecture and vector databases