Fractal Labs

2 weeks ago

Lead Architect, Forward Deployed Engineer (Cogentiq)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 days agoStatus: Live

Job Summary

Build and deploy production-grade enterprise AI applications using the Cogentiq platform as a Forward Deployed Engineer. Partner with enterprise customers to design AI-powered solutions, develop reusable connectors, APIs, SDKs, and automation components, and create secure cloud-native architectures. Own deployments from proof of concept through production, troubleshoot and optimize reliability and performance, and feed learnings back into platform capabilities with cross-functional teams.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and develop production-grade AI applications using the Cogentiq platform.
•Deploy enterprise AI solutions from proof of concept to production in complex environments.
•Build integrations with enterprise systems and develop reusable connectors, APIs, SDKs, MCP servers, and automation components.
•Design secure, scalable, cloud-native architectures and build reliable backend services and microservices.
•Collaborate with customer and internal engineering teams to run technical workshops, troubleshoot deployments, and improve the Cogentiq platform using deployment learnings.

Pay and Benefits

Salary: USD 185,000

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid 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 experience with LLMs and agentic AI, including RAG, tool calling, prompt engineering, and AI evaluation.
•Experience integrating enterprise applications (e.g., SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks).
•Experience deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes, including CI/CD and observability practices.

Experience:Enterprise integrationEnterprise AIAgentic AILLMCloud-native

Skills:Customer-focusedCommunicationProblem-solvingOwnership mindsetRapid prototyping

Tech Stack:PythonJavaTypeScriptREST APIsMicroservicesDistributed systemsGitLarge Language Models (LLMs)Agentic AI frameworksRetrieval-Augmented Generation (RAG)Tool callingPrompt engineeringAI evaluationModel Context Protocol (MCP)AI orchestration frameworksSAPSalesforceWorkdayServiceNowSharePoint

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

Website LinkedIn

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Fractal Labs

2 weeks ago

Lead Architect, Forward Deployed Engineer (Cogentiq)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 days agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and develop production-grade AI applications using the Cogentiq platform.
•Deploy enterprise AI solutions from proof of concept to production in complex environments.
•Build integrations with enterprise systems and develop reusable connectors, APIs, SDKs, MCP servers, and automation components.
•Design secure, scalable, cloud-native architectures and build reliable backend services and microservices.
•Collaborate with customer and internal engineering teams to run technical workshops, troubleshoot deployments, and improve the Cogentiq platform using deployment learnings.

Pay and Benefits

Salary: USD 185,000

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid 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 experience with LLMs and agentic AI, including RAG, tool calling, prompt engineering, and AI evaluation.
•Experience integrating enterprise applications (e.g., SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks).
•Experience deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes, including CI/CD and observability practices.

Experience:Enterprise integrationEnterprise AIAgentic AILLMCloud-native

Skills:Customer-focusedCommunicationProblem-solvingOwnership mindsetRapid prototyping

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn