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Sema4.ai

Forward Deployed Engineer – AI Agent Engineer

Sema4.ai

Forward Deployed Engineer driving AI projects and enterprise collaboration with clients. Architecting AI agent solutions and providing implementation support and customer success management.

Posted 6/17/2026full-timeAtlanta • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSPythonSQL

About the role

Key responsibilities & impact
  • Deploy Production Agents by understanding the Customer Requirements and ideal target pieces for an Agent
  • Define the success criteria for the AI agent
  • Build and deploy production-ready AI agents that solve real business problems for enterprise customers
  • Lead proof of concept (POC) development and transition agents from pilot to production
  • Architect and implement custom AI agent solutions tailored to specific customer workflows and requirements
  • Provide hands-on technical implementation support, including Python development, SQL database work, and AWS infrastructure
  • Develop example agents that demonstrate platform capabilities and best practices
  • Troubleshoot complex technical issues across the AI agent stack, from integration challenges to performance optimization
  • Create and maintain technical documentation, including solution designs, integration guides, and deployment runbooks
  • Act as the Technical Account Manager (TAM) for assigned customers, ensuring ongoing success and value realization
  • Build deep relationships with customer technical teams and key stakeholders
  • Collaborate closely with Sema4.ai's engineering team to provide customer feedback and drive product improvements
  • Conduct technical workshops and training sessions to enable customer teams
  • Serve as a subject matter expert on Sema4.ai's AI agent platform and emerging AI technologies
  • Understand customer business challenges and translate them into technical agent solutions
  • Deliver compelling technical demonstrations showcasing the platform's capabilities
  • Provide technical guidance on integration with existing enterprise systems.

Requirements

What you’ll need
  • 3-4+ years of experience ideally in a consulting firm, systems integration role, or similar customer-facing technical position
  • Proven track record of working with multiple enterprise customers and delivering successful technical implementations
  • Experience deploying production software solutions in enterprise environments
  • Strong understanding of AI agents, LLMs, LangChain, CrewAI, n8n, RAG architectures, and agentic application patterns
  • Ability to build and deploy Python applications quickly (sub-15 minutes for simple apps)
  • Excellent working knowledge of VSCode and/or Cursor
  • Strong working knowledge of AWS services and deployment
  • SQL expertise and experience with database integration and troubleshooting
  • Experience with API integrations and software development principles
  • Understanding of natural language processing (NLP), machine learning (ML), and automation concepts.

Benefits

Comp & perks
  • We move fast and value autonomy.
  • We write to think and communicate clearly.
  • We build together, not in silos.
  • We value execution over plans, and customer impact over internal consensus.
  • We work remotely across time zones, with flexible schedules and clear communication expectations.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLAWSAPI integrationsnatural language processingmachine learningLangChainCrewAIRAG architecturesagentic application patterns
Soft Skills
customer relationship managementtechnical account managementcollaborationcommunicationproblem-solvingtechnical documentationtrainingworkshop facilitationcustomer feedbackvalue realization