Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

Fractal Labs
Bengaluru
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceEducation: bachelorsSkills: ["Python","Java","TypeScript","REST","APIs","Microservices","Distributed systems","SQL","GraphQL","Docker","Kubernetes","CI/CD","Observability","Security","OAuth","JWT","SAML","LLMs","RAG","MCP"]

Forward Deployed Engineers will design and implement production-grade AI applications, deploy enterprise AI solutions from PoC to production, and build integrations with enterprise systems (e.g., SAP, Salesforce, Workday). They collaborate with customers and cross-functional teams to shape Cogentiq platform capabilities, ensuring scalable, secure, and observable AI deployments in complex enterprise environments.

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FursaFursa
Fractal Labs
Fractal Labs
2 months ago

Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

✓ Verified Job

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

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

Job Summary

Forward Deployed Engineers will design and implement production-grade AI applications, deploy enterprise AI solutions from PoC to production, and build integrations with enterprise systems (e.g., SAP, Salesforce, Workday). They collaborate with customers and cross-functional teams to shape Cogentiq platform capabilities, ensuring scalable, secure, and observable AI deployments in complex enterprise environments.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Design and develop production-grade AI applications using the Cogentiq platform.
  • •Deploy enterprise AI solutions from proof of concept to production.
  • •Build integrations with enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems.
  • •Develop reusable connectors, APIs, SDKs, MCP servers, and automation components.
  • •Design secure, scalable, cloud-native architectures and build reliable backend services and microservices.

Key Requirements

  • •Strong software engineering fundamentals with Python; Java or TypeScript a plus; built production-grade backend applications, REST APIs, microservices, and distributed systems
  • •Experience with AI-powered applications using LLMs, Agentic AI frameworks, Retrieval-Augmented Generation, tool calling, prompt engineering, and AI evaluation techniques
  • •Experience integrating enterprise applications and platforms (SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks); understanding of OAuth, JWT, SAML, SQL, REST, GraphQL
  • •Cloud-native architecture and backend services on Azure/AWS/GCP; Docker and Kubernetes; CI/CD; observability and security best practices
  • •Strong customer-facing skills; ability to lead architecture discussions, run technical workshops, and translate business requirements into technical solutions
Experience:Enterprise AIAI integrationCloudSaaS
Education:Bachelor's
Skills:PythonJavaTypeScriptRESTAPIsMicroservicesDistributed systemsSQLGraphQLDockerKubernetesCI/CDObservabilitySecurityOAuthJWTSAMLLLMsRAGMCP
Languages:English
Tech Stack:PythonJavaTypeScriptRESTGraphQLSQLDockerKubernetesAWSAzureGCPCI/CDMCPLLMsRAG

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