Senior Forward Deployed Engineer

Role: Senior Forward Deployed Engineer - AI Architecture & Deployment Specialist Location: NYC, NY Fulltime Architecture | Engineering | Production deployment A senior, client-facing engineering role responsible for taking AI solutions into production.

The Implementation Specialist owns architecture, integration, deployment, stabilization and handover, with clear accountability to align timelines with stakeholders, explain technical requirements & gaps and for making the solution work in the client environment.

What you will do

• Own scaling from prototype through build, integration, production deployment and handover.
• Define end-to-end architecture across applications, APIs, data, AI, cloud, security and enterprise integration.
• Lead deployment across cloud, hybrid and on-premise environments in large regulated enterprises.
• Integrate AI platforms with enterprise systems, data sources, identity, security and operational tooling.
• Design and implement multi-agent systems, defining agent roles, orchestration patterns, handoffs, state management, and coordination across complex workflows.
• Design agent memory architectures spanning working, episodic, semantic, and long-term memory, with clear retrieval, retention, and governance patterns for reliable enterprise use.
• Stay hands-on during critical phases including troubleshooting, configuration, performance tuning and production readiness.
• Establish deployment patterns using containers, Kubernetes, CI/CD, Infrastructure as Code and DevSecOps practices.
• Define monitoring, logging, observability, resiliency, rollback, runbooks and support requirements.
• Turn successful prototypes into scalable, secure and supportable production solutions.
• What we are looking for Architect-level experience - Solution Architect, Enterprise Architect, Principal Engineer or equivalent.
• Proven ownership of enterprise solutions from architecture through production deployment and operationalization.
• Production deployment experience with at least one leading AI platform - OpenAI, Anthropic Claude or Google Gemini (or others).
• Hands-on experience designing and building enterprise GenAI and multi-agent systems, including orchestration, handoffs, state management, and tool integration.
• Strong experience with agent memory architectures, including working, episodic, semantic, and long-term memory, with appropriate retrieval and governance patterns.
• Strong understanding of APIs, microservices, distributed systems, event-driven architecture and enterprise integration.
• Hands-on familiarity with Docker, Kubernetes, CI/CD, DevSecOps and Infrastructure as Code.
• Experience deploying AI evaluation metrics, guardrails and AI observability across enterprise.
• Banking or Insurance delivery experience and the ability to operate with architecture, security, engineering and business stakeholders.
• Success in the role Gets solutions through the final mile into production - secure, scalable, observable, supportable and integrated into the client environment.