Forward Deployed Engineer - Agents
Leads end-to-end deployment and optimization of AI Virtual Agents and CX automation workflows for enterprise customers. Requires 5+ years in a technical customer-facing role, strong coding and API integration skills, and the ability to translate requirements into production solutions.
About the job
Responsibilities
- Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
- Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
- Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
- Build, test, and validate integrations with enterprise systems such as CRM, ticketing, telephony, and data platforms.
- Partner with customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines.
- Translate customer needs into clear implementation plans and documentation.
- Run feedback loops with Engineering and Product to improve platform capabilities.
- Collaborate with Product, Engineering, Design, and GTM teams to deliver repeatable deployments.
Requirements
- 5+ years in a technical customer-facing role, such as Solutions Engineering, Forward Deployed Engineering, Implementation Engineering, Technical Consulting, or Technical Program Management.
- Strong technical foundation, including coding, working with APIs, and building end-to-end integrations.
- Experience delivering production-grade enterprise solutions requiring testing, validation, and iteration.
- Ability to communicate with senior technical stakeholders and translate requirements into execution plans.
- Comfortable operating in fast-moving, ambiguous environments.
- Comfortable working in EST hours (3:30 AM IST).
Nice-to-Haves
- Experience building with LLMs or AI agents, including prompting, evaluation, guardrails, or workflow design.
- Experience integrating enterprise SaaS systems such as CRM, ticketing, and data pipelines, with attention to security and compliance.
- Computer Science, Engineering, or Math degree, or equivalent experience.
- Strong product instincts and ability to define success metrics and contribute customer insights to product evolution.
Skills
AI Agents, LLMs, APIs, CRM, Telephony, Data Platforms, Prompting, Guardrails, Workflow Design, Integration Testing
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