Outmarket AI Logo

Outmarket AI

Forward Deployed AI Engineer

Posted One Month Ago
Remote
Hiring Remotely in US
Junior
Remote
Hiring Remotely in US
Junior
Work directly with insurance customers to deploy and configure AI-powered workflows, integrate with agency management systems and messy customer data, debug integrations, build tooling, and relay product requirements to the core platform while partnering with sales and customer success.
The summary above was generated by AI
ABOUT OUTMARKET

Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.

The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.

WHAT YOU’LL GET

  • A high-impact role with ownership from day one.

  • Competitive compensation and meaningful equity.

  • Direct collaboration with founders and real users.

  • Remote-first flexibility.

  • The opportunity to help build an AI-native product from the ground up.

ABOUT THE ROLE
We are hiring a Forward Deployed AI Engineer to work directly with customers (brokers, MGAs, and carriers) to deploy and tailor our AI solutions to their real workflows. You sit at the intersection of engineering and the customer, turning messy real-world requirements into shipped, working systems.

WHY THIS ROLE

  • Own customer outcomes end to end, from problem to deployed solution.

  • Work hands-on with real insurance data and source systems.

  • Be the technical bridge between customers and the core product team.

WHAT YOU’LL DO

  • Deploy and configure AI-powered workflows for specific customers and source systems.

  • Integrate with agency management systems and customer data, and resolve real-world data issues.

  • Build tooling and feed product requirements back into the core platform.

  • Partner with sales and customer success to ensure customers succeed.

WHAT WE’RE LOOKING FOR

  • 2+ years in software/forward-deployed/solutions engineering.

  • Strong Python and SQL, and comfort debugging messy integrations.

  • Customer-facing instincts and excellent communication.

  • Bias to action in ambiguous, fast-moving situations.

BONUS IF YOU HAVE

  • Insurance, fintech, or other regulated-data domain experience.

  • Experience with LLM-based systems or document processing.

Similar Jobs

3 Days Ago
Remote
USA
145K-165K Annually
Senior level
145K-165K Annually
Senior level
Healthtech
Build and ship production-grade AI features by embedding with clinical, product, and operations teams. Own solutions end to end, including architecture, evaluation, validation, governance, deployment, monitoring, and human-in-the-loop safeguards. Develop agentic capabilities using tool calling, RAG, MCP integrations, and orchestration on AWS Bedrock. Establish acceptance criteria and risk controls, contribute reusable platform assets, and improve AI fluency across teams. The role requires strong Python, cloud engineering, full-stack development, and experience delivering validated AI features in production.
Top Skills: Agent OrchestrationAPIsAWSAws BedrockEvaluation HarnessesFunction CallingLlmsMcpModel ServingPrompt GuardrailsPythonRagTool Calling
4 Days Ago
Remote
3 Locations
Senior level
Senior level
Information Technology • Business Intelligence • Consulting
Lead enterprise delivery of Databricks-based data, machine learning, and Generative AI solutions. Design production data pipelines, analytics engines, RAG applications, and ML platforms; migrate legacy data estates to the Lakehouse; and advise executive client stakeholders. Drive platform adoption, identify expansion opportunities, mentor technical teams, and develop reusable engineering accelerators. The role combines hands-on architecture, engineering, consulting, customer engagement, and technical practice building.
Top Skills: Amazon RedshiftSparkAWSAws GlueAws LambdaAzureDatabricksDatabricks JobsDatabricks WorkflowsDelta LakeGCPGenerative AiHadoopLlmsMlflowMosaic AiPysparkPythonRagS3SnowflakeSQL ServerTeradataUnity CatalogVector Databases
5 Days Ago
Remote or Hybrid
110K-240K Annually
Mid level
110K-240K Annually
Mid level
Big Data • Information Technology
Build and deploy production AI applications for enterprise clients, using machine learning, LLMs, retrieval systems, agents, cloud technologies, APIs, and modern software engineering practices. Partner with stakeholders to translate ambiguous business challenges into scalable solutions, lead projects from discovery through adoption, optimize performance and reliability, and contribute reusable frameworks and technical strategy. The role is remote with approximately 30% client travel.
Top Skills: AIAi AgentsAPIsAWSAzureData PipelinesGenerative AiGoGCPJavaLarge Language ModelsMachine LearningPythonRetrieval SystemsSQLTypescriptWorkflow Automation

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account