Taktile logo
Taktile
Posted 160 days agoVerified live 11h ago

Forward Deployed Engineer

Brief overview

New York OfficeHybrid
UndergradOr in progress
2+ yrsMinimum
PythonSQLREST API design and integrationsProblem-solving under pressureStakeholder relationship managementSolution architecture designGenerative AI deploymentAgentic AI use case scopingCloud platforms (AWS, Azure, GCP)Statistical and machine learning model optimizationAI application development in financial services

About the company

Taktile is a software platform that helps users create automated risk management decisions.

Job description

Summary

Taktile is redefining how financial institutions use AI to make critical decisions, and they're growing fast. As a Forward Deployed Engineer, you'll own the technical journey from customer onboarding to production-grade AI deployments that deliver real business impact.

Responsibilities

  • Lead complex AI-driven Taktile deployments in production. You own technical delivery across multiple deployments, from scoping high-impact Agentic AI use cases to stable production
  • Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and deploying production-grade Generative AI agents, or aligning with key customer stakeholders - all while ensuring an outstanding experience and rapid time to value for Taktile’s customers
  • You effectively scope work, sequence delivery, and proactively remove blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery
  • Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap
  • Develop reusable resources, best practices, and tools to share your expertise and help scale the forward deployed engineering function across the organization

Skills

  • 2+ years of engineering or technical deployment experience that includes customer-facing work
  • Strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
  • Write and review production-grade Python and SQL
  • Strong command of REST API design and integrations
  • Excel at breaking down complex problems and making quick, well-informed decisions even under pressure
  • Build strong relationships with both technical and business stakeholders at all levels
  • Collaborative, curious, and low-ego
  • Open to a hybrid work model and can work from NYC office at least three days per week
  • 1+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company
  • Experience in building AI applications within financial services
  • Experience in applying and optimizing statistical and machine learning models to solve business problems
  • Experience with at least one of the major cloud platforms (AWS, Azure, GCP)

Qualifications

Must Haves

  • 2+ years of engineering or technical deployment experience that includes customer-facing work
  • Strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
  • Write and review production-grade Python and SQL
  • Strong command of REST API design and integrations
  • Excel at breaking down complex problems and making quick, well-informed decisions even under pressure
  • Build strong relationships with both technical and business stakeholders at all levels
  • Collaborative, curious, and low-ego
  • Open to a hybrid work model and can work from NYC office at least three days per week

Nice to Haves

  • 1+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company
  • Experience in building AI applications within financial services
  • Experience in applying and optimizing statistical and machine learning models to solve business problems
  • Experience with at least one of the major cloud platforms (AWS, Azure, GCP)

Benefits

  • Receive a top-of-market equity and cash compensation package.
  • Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
  • Use the equipment of your choice including meaningful home office set-up.

More jobs like this