Fractal Labs

3 weeks 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

Last checked: 8 hours agoStatus: 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

Website LinkedIn

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Fractal Labs

3 weeks 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

Last checked: 8 hours agoStatus: Live

Job Summary

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

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn