Design, build, deploy, integrate, and optimize production voice AI agents for enterprise clients. Develop backend integrations using APIs, WebSockets, webhooks, and CRM systems; implement LLM orchestration with frameworks such as LangChain and OpenAI APIs; analyze logs and agent metrics; perform root-cause analysis; and lead client workshops, deployment reviews, and technical delivery.

Leads technical delivery of government voice AI deployments from scoping through launch and post-launch reporting. Owns architecture, integrations, security, hosting, compliance, RFP solutioning, technical bids, estimates, SLAs, demos, and executive stakeholder communication. Personally handles complex deployments while managing a forward-deployed engineering team. Requires hands-on software, cloud, API, SQL, monitoring, and LLM application expertise, plus frequent collaboration with product, engineering, government departments, and senior officials.

Leads a hands-on Forward Deployed Engineering team delivering AI-powered customer solutions. Responsibilities include managing engineers, designing architectures, building and debugging production systems, integrating enterprise workflows, leading customer deployments, reviewing code, managing incidents, improving reliability, and driving execution across ambiguous, customer-facing projects.