Professional Services Engineer
Professional Services Engineer at Farsight AI (NYC, 4 days/week onsite) who leads customer deployments of the company's agentic AI platform across hosted VPC, customer cloud, and on-prem environments. Day-to-day is hands-on AWS infrastructure work (CDK/Terraform, Docker/Kubernetes), security/compliance reviews, and customer-facing delivery.
- Compensation
- $170K–$200K / yr
- Location
- New York City
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 5+ years in cloud infrastructure engineering, DevOps, solutions architecture, or professional services/consulting with a strong customer-facing component
- Deep knowledge of AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM, VPC networking) and designing/deploying production workloads on AWS
- Strong proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation, Terraform)
- Proficiency with containerization and orchestration (Docker, Kubernetes)
- Experience deploying software into enterprise or regulated customer environments, including security reviews, network restrictions, and change control
- Understanding of cloud security and compliance frameworks (SOC2, GDPR, ISO)
- Strong communicator with technical and non-technical stakeholders; builds trust with senior customer counterparts
- Comfortable operating independently with limited structure and managing multiple customer engagements
- Able to write clear technical documentation, architecture diagrams, and runbooks
- NYC-based and able to work onsite, with willingness to travel to customer sites
Nice to have
- Prior professional services, solutions architecture, or forward-deployed role at a cloud provider or enterprise software company
- Experience deploying software into on-premise or air-gapped environments
- Experience with customer cloud deployments across AWS, Azure, and GCP
- Experience deploying infrastructure for generative AI or machine learning workloads
- Experience in financial services or other heavily regulated industries
Full description
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.