{"id":1976438,"url":"https://alion.io/job/farsight-ai-professional-services-engineer","title":"Professional Services Engineer","company":{"id":4453,"name":"Farsight-Ai","domain":"farsight-ai.com","url":"https://alion.io/company/farsight-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-06T20:43:52Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-17T02:43:20Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Professional Services Engineer\nFarsight AI | New York, NY (4 days in office/week)\nAbout Farsight AI\nFarsight 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.\nThe Role\nFarsight'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.\nYou 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.\nWhat You'll Do\nLead the technical delivery of customer deployments, including customer VPC, customer cloud, and on-premise environments, from kickoff through production go-live.\n\nPartner 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.\n\nSupport 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.\n\nWork with Strategy and Ops and GTM to confirm technical feasibility before commitments are made to customers, and communicate constraints clearly in both directions.\n\nBuild and maintain deployment automation using infrastructure-as-code (AWS CDK, CloudFormation, Terraform) so every customer deployment is repeatable, auditable, and secure.\n\nDesign and document runbooks, reference architectures, and onboarding playbooks, and run knowledge transfer sessions so customer teams can operate and maintain their environments.\n\nTroubleshoot deployment and integration issues in customer environments, working with Infrastructure and Platform Engineering to resolve root causes and feed fixes back into the product.\n\nServe as the technical voice of the customer internally, surfacing recurring deployment friction and customer requirements to inform the infrastructure and product roadmap.\n\nSupport customer technical escalations and post-deployment health, including monitoring, upgrades, and change control coordination.\n\nWho You Are\n5+ years of experience in cloud infrastructure engineering, DevOps, solutions architecture, or professional services and consulting, with a strong customer-facing component.\n\nDeep knowledge of AWS services (ECS, EC2, Lambda, S3, CloudFront, CloudWatch, RDS, IAM, SSM, VPC networking) and experience designing and deploying production workloads on AWS.\n\nStrong proficiency with infrastructure-as-code tools (AWS CDK, CloudFormation, Terraform) and containerization and orchestration (Docker, Kubernetes).\n\nExperience deploying software into enterprise or regulated customer environments, including navigating security reviews, network restrictions, and formal change control processes.\n\nSolid understanding of cloud security and compliance frameworks (SOC2, GDPR, ISO) and the ability to speak credibly with customer security and compliance teams.\n\nStrong communicator who can explain complex infrastructure concepts to both technical and non-technical stakeholders, and who builds trust quickly with senior customer counterparts.\n\nComfortable operating independently with limited structure, managing multiple customer engagements at once, and figuring things out without an existing playbook.\n\nAble to write clear technical documentation, architecture diagrams, and runbooks.\n\nNYC-based and able to work onsite, with willingness to travel to customer sites as needed.\n\nAbove and Beyond Qualifications\nPrior experience in a professional services, solutions architecture, or forward-deployed role at a cloud provider or enterprise software company.\n\nExperience deploying software into on-premise or air-gapped environments.\n\nExperience with customer cloud deployments across AWS, Azure, and GCP.\n\nExperience deploying infrastructure for generative AI or machine learning workloads.\n\nExperience in financial services or other heavily regulated industries.\n\nCompensation\nSalary range: $170,000 to $200,000 annually, commensurate with experience.\n\nEquity: Meaningful early-stage package with standard vesting (4 year / 1-year cliff)\n\nComprehensive medical, dental and vision 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