Finch AI · 1 month ago
Enterprise Account Engineer - TS/SCI with Poly
Finch Computing is a fast-growing AI company focused on transforming unstructured data into structured intelligence for various sectors including national security. The Enterprise Account Engineer will serve as the technical point of contact for National Security customers, responsible for deploying, integrating, and optimizing Finch AI products in complex environments.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceMachine LearningNatural Language ProcessingPredictive AnalyticsSaaSSoftwareText Analytics
Responsibilities
Serve as the enterprise-level technical owner for assigned National Security accounts post-sale
Lead deployments, integrations, and configuration of Finch AI software in on-prem, hybrid, and air-gapped environments
Build and support agentic workflow integrations using tools such as LangChain, NIFI, Spark, REST APIs, and system-to-system messaging pipelines
Stand up and maintain containerized and orchestrated environments (e.g., Docker, Kubernetes, Helm) required for Finch AI product deployments
Integrate diverse data types such as email, chat, reports, documents, structured data, and unstructured text, into enterprise pipelines
Support integrations with on-prem LLMs, RAG pipelines, and secure model-serving architectures
Partner closely with Customer Success, Product, and Core Engineering to triage issues, prioritize enhancements, and advocate for customer needs
Provide hands-on troubleshooting across the full stack (infrastructure, data pipelines, application layer, APIs, connectors, and agentic workflows)
Deliver technical training, runbooks, and best-practice guidance to mission users
Participate in customer onsite meetings, technical exchanges, testing events, and readiness reviews
Act as a trusted advisor for enterprise customers on how to operationalize Finch AI in mission environments
Qualification
Required
Active TS/SCI with Poly
Strong software engineering or DevOps background, ideally supporting secure or classified environments
Hands-on experience with: Kubernetes, Docker, Helm, container orchestration, AWS (GovCloud experience is a plus), Python, LangChain, and modern agentic frameworks, Secure deployment patterns for on-prem LLMs and RAG architectures, Data ingestion pipelines including Apache NIFI, Spark, Kafka, or similar, API integration, microservices, REST, and event-driven systems
Ability to integrate SaaS or hybrid SaaS products into restricted or air-gapped enterprise environments
Experience supporting mission users in DoD, IC, or federal civilian agencies
Preferred
Technical depth in Cybersecurity, Cryptography, Blockchain analytics, or advanced research methodologies
Familiarity with enterprise log sources, structured/unstructured data fusion, or threat-intelligence workflows
Experience with MLOps, vector databases, and structured AI output pipelines
Strong communication skills where you can walk into a SCIF, brief a CTO, sit with analysts, and whiteboard a deployment all in the same day
Ability to thrive in a rapidly growing startup environment where customer needs evolve quickly
Benefits
Competitive compensation
Benefits
Opportunities for advancement as Finch AI scales
Company
Finch AI
At Finch AI, we think like analysts. So we build tools that accelerate their workflows, that never get tired, and that dramatically improve outcomes.
Funding
Current Stage
Growth StageRecent News
2023-12-24
2022-12-02
2022-09-16
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