Vice President, Application Engineer
Core
Lead development, architecture, and design of distributed, event-driven systems and scalable microservices integrating AI/LLM patterns for enterprise strategy.
Role type
VP Application Engineer (Distributed Systems & AI Integration)
Builds
High-throughput data systems, API-first platforms, and AI-augmented engineering workflows for enterprise clients.
Domain
Financial Services / Distributed Systems / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Java, distributed systems architecture, microservices, SQL/NoSQL, streaming technologies, cloud-native container orchestration, AI/LLM integration (prompt engineering, agent workflows), stakeholder management
Preferred skills
Redis, event streaming platforms, CI/CD tooling, financial systems domain knowledge
Technologies
Java, Angular/React, SQL, NoSQL, Redis, OCI, Azure/AWS/GCP, LangChain, Google ADK, Copilot, Claude, Windsurf
Responsibilities
Architect multi-step or agent-based AI workflows, define shared prompts and AI governance standards, translate complex business requirements into scalable technical roadmaps, lead global teams to deliver strategic milestones, drive observability and production excellence
Seniority
Executive (VP), hands-on technical leadership