Professional Services Engineer

Farsight AI; New York (NY); Hybrid; USD 170,000 - 200,000; Full time

Job summary

Farsight AI in New York, NY, is seeking a Professional Services Engineer to deploy and integrate complex AI-driven platforms inside customer environments, including VPCs, customer clouds, and on-premise setups.

You will work closely with IT, security, and infrastructure teams to validate architecture, drive approvals, and deliver repeatable, secure deployments. The role requires deep AWS expertise, strong IaC skills, and clear technical communication across stakeholders.

Qualifications

• 5+ years of experience in cloud infrastructure engineering, DevOps, solutions architecture, or professional services and consulting.
• Deep knowledge of AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM, VPC networking) and deploying production workloads on AWS.
• Strong proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation, Terraform) and containerization/orchestration (Docker, Kubernetes).
• Experience deploying software into enterprise or regulated customer environments, including navigating security reviews, network restrictions, and formal change control processes.
• Solid understanding of cloud security and compliance frameworks (SOC2, GDPR, ISO).
• Strong communicator who can explain complex infrastructure concepts to technical and non-technical stakeholders; builds trust with senior customers.
• Comfortable operating independently with limited structure, managing multiple customer engagements; can improvise without a playbook.
• Able to write clear technical documentation, architecture diagrams, and runbooks.
• NYC-based and able to work onsite, with willingness to travel to customer sites.

Responsibilities

• 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.
• Work with Strategy and Ops and GTM to confirm technical feasibility before commitments, and communicate constraints clearly.
• Build and maintain deployment automation using infrastructure-as-code (AWS CDK, CloudFormation, Terraform) so deployments are repeatable and secure.
• Design and document runbooks, reference architectures, and onboarding playbooks, and run knowledge transfer sessions for customer teams.
• Troubleshoot deployment and integration issues in customer environments with Infrastructure and Platform Engineering to resolve root causes.
• Serve as the technical voice of the customer to inform infra and product roadmap.
• Support customer technical escalations and post-deployment health, including monitoring, upgrades, and change control coordination.

Skills

Cloud infra

DevOps

Solutions architecture

AWS

IaC

Docker/Kubernetes

Security/compliance

Customer facing

Documentation

Communication

Tools

AWS CDK

CloudFormation

Terraform

Docker

Kubernetes

Job 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.

• 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.

• Serve as the technical voice of the customer internally, surfacing recurring deployment friction and customer requirements to inform the infrastructure and product roadmap.

• Support customer technical escalations and post-deployment health, including monitoring, upgrades, and change control coordination.

Who You Are

• 5+ years of experience in cloud infrastructure engineering, DevOps, solutions architecture, or professional services and consulting, with a strong customer-facing component.

• Deep knowledge of AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM, VPC networking) and experience designing and deploying production workloads on AWS.

• Strong proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation, Terraform) and containerization and orchestration (Docker, Kubernetes).

• Experience deploying software into enterprise or regulated customer environments, including navigating security reviews, network restrictions, and formal change control processes.

• Solid understanding of cloud security and compliance frameworks (SOC2, GDPR, ISO) and the ability to speak credibly with customer security and compliance teams.

• Strong communicator who can explain complex infrastructure concepts to both technical and non-technical stakeholders, and who builds trust quickly with senior customer counterparts.

• Comfortable operating independently with limited structure, managing multiple customer engagements at once, and figuring things out without an existing playbook.

• Able to write clear technical documentation, architecture diagrams, and runbooks.

• NYC-based and able to work onsite, with willingness to travel to customer sites as needed.

Above and Beyond Qualifications

• Prior experience in a 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.

Compensation

• Salary range: $170,000 to $200,000 annually, commensurate with experience.

• Equity: Meaningful early-stage package with standard vesting (4 year / 1-year cliff)

• Comprehensive medical, dental and vision insurance

• Unlimited PTO