Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform
Fractal Analytics3 months ago
Pune, India +4 moreSenior
Responsibilities
- Design and develop production-grade AI applications using the Cogentiq platform.
- Deploy enterprise AI solutions from proof of concept through production.
- Build integrations with 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 backend services and microservices.
- Collaborate directly with customer engineering and business teams, conduct technical workshops, and deliver AI solutions.
- Troubleshoot production deployments, optimize performance, and ensure reliability and security.
- Convert customer deployment learnings into reusable Cogentiq platform capabilities.
- Collaborate with AI engineers, platform engineers, product managers, and solution architects to improve the platform.
Requirements
- Strong software engineering fundamentals and proficiency in Python; Java or TypeScript experience is a plus.
- Experience building production-grade backend applications, REST APIs, microservices, and distributed systems.
- Experience working with databases, Git, and modern software development practices.
- Hands-on experience building AI applications using LLMs, agentic AI frameworks, RAG, tool calling, prompt engineering, and AI evaluation techniques.
- Experience with MCP and modern AI orchestration frameworks is highly desirable.
- Experience integrating enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, and Databricks.
- Understanding of enterprise integration patterns, API-first architectures, OAuth, JWT, SAML, SQL, REST APIs, and GraphQL APIs.
- Experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes.
- Understanding of CI/CD pipelines, event-driven architectures, messaging platforms, observability, monitoring, and security best practices.
- Ability to work directly with customers, translate business challenges into technical solutions, lead architecture discussions and technical workshops, and adapt to evolving requirements.
Benefits
- Join the founding engineering team building Fractal’s Enterprise AI platform.
- Work with Generative AI, Agentic AI, Enterprise Context, MCP, Knowledge Graphs, and AI Governance.
- Solve complex enterprise challenges for leading organizations and influence the future direction of the Cogentiq platform.
- Build reusable capabilities for enterprise AI deployments across industries.
- Collaborate with a team focused on scaling enterprise AI adoption.
Tech Stack
Categories
Forward Deployed
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.