- 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 and using ETL using tools such as LangChain, (Apache - Nifi, Airflow), 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.
- Active TS/SCI with Poly.
- Strong software engineering or DevOps background, ideally supporting secure or classified environments.
- Hands-on experience with:
- Kubernetes, Docker, Helm, Terraform, 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, Airflow, 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.
- 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.
- The chance to directly support national security missions using meaningful, high-impact AI technology.
- Fast-paced growth, real ownership, and the ability to shape both the role and the broader Account Engineering function.
- Competitive compensation, benefits, and opportunities for advancement as Finch AI scales.
ABOUT FINCH AI
Finch AI is a fast-growing, fast-paced software development organization; our mission is to build new ways of interacting with information. We do that by leveraging game-changing intellectual property, cloud infrastructure expertise, and a staff that is second to none. Together, we build and support products that address complex, real-time data and analytics needs in the enterprise. Our teams are comprised of successful people that enjoy solving problems, engaging in substantive technical discussions and have passion for their work. We have very high expectations in terms of skill, motivation, self-organization and productivity. We look for people who excel working in groups, virtual and collocated, as well as those who are comfortable with fast paced agile development.
Finch AI is an equal opportunity employer.