Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform
Fractal Analytics30 days 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