Professional Services Engineer

Professional Services Engineer

Farsight AI | New York, NY (4 days in office/week)

About Farsight AI

Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches. Farsight not only gives them that time back to focus on what is important, but we also bring new insights and knowledge to their materials that they wouldn't be able to uncover without the help of our financial-focused AI.

The Role

Farsight's customers are some of the most security-conscious institutions in the world. Many of them require Farsight to run inside their own cloud environment or on-premise, and every deployment comes with its own network, identity, compliance, and change control requirements. As a Professional Services Engineer, you will be the technical expert who makes those deployments happen.

You will work hands-on with our customers' IT, security, and infrastructure teams to scope, architect, and deliver Farsight deployments across our three models: Farsight-hosted VPC, customer cloud, and on-premise. Think of it as the customer-facing side of cloud infrastructure engineering. You will bring a deep understanding of cloud infrastructure, enterprise security, and delivery best practices, and you will translate our platform into something a bank or PE firm's IT team can approve, deploy, and trust.

What You'll Do

• Lead the technical delivery of customer deployments, including customer VPC, customer cloud, and on-premise environments, from kickoff through production go-live.

• Partner with customer IT, security, and infrastructure teams to review architecture, network topology, identity and access requirements, and data flows, and drive technical approvals to closure.

• Support pre-sales technical scoping, including dataflow diagrams, architecture documentation, and responses to security and compliance questionnaires, so engineering and leadership are not pulled into each new customer request.

• Work with Strategy and Ops and GTM to confirm technical feasibility before commitments are made to customers, and communicate constraints clearly in both directions.

• Build and maintain deployment automation using infrastructure-as-code (AWS CDK, CloudFormation, Terraform) so every customer deployment is repeatable, auditable, and secure.

• Design and document runbooks, reference architectures, and onboarding playbooks, and run knowledge transfer sessions so customer teams can operate and maintain their environments.

• Troubleshoot deployment and integration issues in customer environments, working with Infrastructure and Platform Engineering to resolve root causes and feed fixes back into the product.