Principal Forward Deployed Engineer

Posted 1hrs ago

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Job Description

Architect connecting AI to governed data in enterprise applications for CData's Connect AI platform. Leading engagements with strategic customers to shape scalable solutions and best practices.

Responsibilities:

  • Lead customer engagements
  • Run technical discovery workshops with customer architects, data leaders, and AI teams, mapping data sources, MCP Workspace scoping, and agent tooling requirements
  • Own the scoping for AI deployments with clear acceptance criteria around agent accuracy, data coverage, and governance
  • Translate complex AI + data concepts into executive-ready architecture proposals; defend trade-offs to CxO-level stakeholders
  • Architect AI data connectivity end-to-end
  • Design solutions across Connect AI’s 350+ sources covering MCP server configuration, semantic context modeling, and governance integration
  • Architect agent orchestration using Connect AI Toolkits, defining which data, schemas, and actions each agent can access in production
  • Design governed access patterns for AI agents: RBAC, OAuth 2.1, semantic scoping, and audit-trail requirements
  • Define AI Best practices using agents, skills and LLMs to drive successful customer outcomes
  • Shape the evolution of the Connect AI platform through real-world deployments
  • Identify architectural and product gaps during live enterprise engagements and partner with Product and Engineering to define scalable solutions
  • Author technical specifications and implementation recommendations for Connect AI enhancements, including both features and core architectural improvements
  • Build reusable reference architectures, deployment patterns, and MCP blueprints that reduce implementation friction and accelerate future customer deployments
  • Translate recurring customer deployment challenges into scalable platform capabilities and architectural standards
  • Mentor FDEs on AI integration patterns, semantic data modeling, and customer-facing technical delivery
  • Serve as the first level technical escalation point for customer engagements
  • Partner with Product, Engineering, Solutions Engineering, and Customer Success on architectural standards
  • Codify field patterns into shared assets, playbooks, templates, sample agents, that the broader team can reuse (SE, CS, support etc.)

Requirements:

  • 7+ years as a Solutions Architect, Principal SE, Forward Deployed Engineer, or Technical Lead at a data platform, AI, or enterprise SaaS company
  • Has built and shipped production AI applications — not just prototypes
  • Worked on a SaaS Platform in an Architect Profile (or closely aligned role)
  • Customer-facing track record with senior technical buyers and architecture review boards
  • Strong AI/ML literacy: LLM capabilities, agentic architectures, RAG patterns, prompt engineering, and when to apply each
  • Able to define Multi-tenant Architectural patterns and security objectives
  • Hands-on enterprise data integration: SQL, ETL/CDC pipelines, API design, ODBC/JDBC, and multi-source connectivity
  • Able to design governed data access for AI agents — RBAC, OAuth 2.1, semantic scoping, and audit-trail requirements
  • Experience with modern data stacks (Snowflake, Databricks, Salesforce) and cloud-native deployment patterns
  • Ability to translate complex AI + data concepts into executive-ready architecture proposals
  • High agency; comfortable being the senior technical voice in the room with the customer
  • Experience mentoring junior engineers without requiring direct reporting relationships

Benefits:

  • Medical, Dental, and Vision plans with company-paid insurance premiums
  • Health Saving Account offering with company contribution to help mitigate increasing health costs
  • Flexible Savings Account and Dependent Care FSA
  • Generous 20-day PTO and 11 paid holidays
  • 401k with 100% company match up to 6% of contribution
  • A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation
  • Work closely with your manager to define professional development and learning opportunities that match your career goals