Senior Manager

Key Responsibilities

• Define strategy and roadmap for AI agent systems and LLM applications.
• Lead multiple teams or large-scale AI initiatives focused on fine-tuning, hybrid model integration, and autonomous agent orchestration.
• Drive adoption of frameworks like LangGraph, AutoGen, or CrewAI for complex workflows (planning, reasoning, tool use, and memory).
• Ensure architectural robustness, scalability, and resilience of AI systems in production.
• Collaborate with executive leadership, product owners, and external stakeholders on technical direction and impact.
• Establish engineering standards and mentor across levels (LAMs, Managers, Architects).
  
  

• Expert in LLM fine-tuning, GPU optimization, and AI agent orchestration.
• Demonstrated success in designing and deploying LLM systems at scale.
• Deep understanding of cloud-native architectures (ECS, AKS, Lambda), API design, and MLOps practices.
• Strong leadership, cross-functional collaboration, and communication skills.
• Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
• Understanding of containerization (Docker) and orchestration (Kubernetes)
• Knowledge of microservices architecture and API gateways.
  
  

• Experience managing budgets, vendor relationships, and high-impact cross-team projects.
• Experience with telephony APIs and platforms such as Twilio, Amazon Connect, or Genesys Cloud.
• Familiarity with AI safety, human-in-the-loop strategies, and responsible AI practices.