Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
Lead technical hiring for Forward Deployed Engineering, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering squad.
Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.
Minimum qualifications:
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
Preferred qualifications:
Master’s or PhD in AI, Computer Science, or a related technical field.
Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
Ability to perform deep ‘discovery’ interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
