Architect, Forward Deployed Engineer (Cogentiq)

Fractal Labs
New York
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Communication","Customer focus","Collaboration","Problem-solving","Ownership"]

Work as a Forward Deployed Engineer on the founding Cogentiq team, partnering with enterprise customers to design AI-powered solutions and deploy them from proof of concept to production. Build production-grade backend services, microservices, and integrations with systems such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, and Databricks. Turn deployment learnings into reusable connectors, APIs, SDKs, and platform capabilities, while troubleshooting deployments for reliability and security.

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FursaFursa
Fractal Labs
Fractal Labs
2 months ago

Architect, Forward Deployed Engineer (Cogentiq)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Work as a Forward Deployed Engineer on the founding Cogentiq team, partnering with enterprise customers to design AI-powered solutions and deploy them from proof of concept to production. Build production-grade backend services, microservices, and integrations with systems such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, and Databricks. Turn deployment learnings into reusable connectors, APIs, SDKs, and platform capabilities, while troubleshooting deployments for reliability and security.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and develop production-grade AI applications using the Cogentiq platform.
  • •Deploy enterprise AI solutions from proof of concept to production and troubleshoot deployments for performance, reliability, and security.
  • •Build integrations with enterprise applications (SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks) and other business systems.
  • •Develop reusable connectors, APIs, SDKs, MCP servers, and automation components.
  • •Collaborate with customer engineering and business teams to gather requirements, run technical workshops, and deliver successful AI solutions.

Pay and Benefits

Salary: USD 150,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid Leave

Key Requirements

  • •Experience building production-grade backend applications, REST APIs, microservices, and distributed systems.
  • •Proficiency with Python; experience with Java or TypeScript is a plus.
  • •Hands-on AI engineering experience with LLMs, agentic AI frameworks, RAG, tool calling, prompt engineering, and AI evaluation.
  • •Experience integrating enterprise applications (e.g., SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks) and working with SQL, REST, and GraphQL APIs.
  • •Experience deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes, plus CI/CD and observability.
Experience:Enterprise AIArtificial intelligenceMachine learningEnterprise integration
Skills:CommunicationCustomer focusCollaborationProblem-solvingOwnership
Tech Stack:PythonJavaTypeScriptREST APIsMicroservicesDistributed systemsGitLLMsAgentic AI frameworksRAGPrompt engineeringAI evaluationModel Context Protocol (MCP)SAPSalesforceWorkdayServiceNowSharePointSnowflakeDatabricks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn