Forward Deployed Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Remote, U.S.; EST or West Coast preferred. Travel required up to 25%.
Salary: $150,000β$175,000 per year.
Company
provides enterprise data connectivity, replication, semantic intelligence, and governance for AI and analytics workloads across more than 350 data sources.
What you will do
- Embed with enterprise customer teams to deploy Connect AI, configure MCP servers, connect data sources, and validate agent workflows in production.
- Build and test AI agent integrations with correctly scoped data access and configure semantic context and governance layers.
- Write production code in Python, Java, or C# using MCP, REST, OData, and drivers.
- Deliver iterative solutions on a multi-sprint cadence, including weekly customer demos, validation checkpoints, and workflow refinement.
- Monitor deployment health and MCP performance, troubleshoot agent accuracy, resolve production issues, and support the Customer Success handoff.
- Document product gaps, agent behavior patterns, reusable code, deployment recipes, and troubleshooting guidance for the Connect AI product team.
Requirements
- 4β7 years of experience in software engineering, data engineering, or technical consulting with hands-on delivery experience.
- Track record of shipping production code in customer-facing or customer-impacting roles.
- Proficiency in Python, Java, or C# and experience building API integrations, data pipelines, or connector-based workflows.
- Experience with SQL, REST APIs, ODBC/JDBC, JSON/XML parsing, and multi-source data mapping.
- Understanding of LLM data usage, MCP, AI agents, RBAC, OAuth 2.1, and semantic scoping.
- Must be currently authorized to work full-time in the United States; visa sponsorship is not available now or in the future.
Nice to have
- Hands-on experience with MCP and AI agent frameworks such as LangChain, CrewAI, or Copilot Studio.
- Prior FDE, professional services, or solutions-engineering experience at a data, analytics, or AI platform company.
- Exposure to Snowflake, Databricks, Salesforce, and cloud-native deployment patterns.
Culture & Benefits
- Remote-friendly, high-trust work environment focused on collaboration, curiosity, and innovation.
- Medical, dental, and vision plans with company-paid insurance premiums.
- Health Savings Account with company contribution, Flexible Savings Account, and Dependent Care FSA.
- 20 days of paid time off and 11 paid holidays.
- 401(k) with a 100% company match up to 6% of contributions.
- Professional development and learning opportunities defined with the manager.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β