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Sema4.aiSema4.aiAtlanta, GA

Forward Deployed Engineer - AI Agent Engineer

Designs, builds, and deploys custom AI agents for enterprise customers, providing hands-on technical support, troubleshooting, and acting as technical account manager. Requires 3+ years customer-facing experience and expertise in Python, AWS, SQL, and AI agent frameworks like LangChain and CrewAI.

Salary not listed
On-site3+ YOEML Engineering

About the role

Responsibilities

Primary Focus: Deploy Production Agents

  • Understand 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

Technical Implementation & Support

  • 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

Customer Success & Account Management

  • 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

Technical Consultation & Solution Design

  • 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

Required Experience

  • 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

Technical Skills

  • AI & Agent Expertise: Strong understanding of AI agents, LLMs, LangChain, CrewAI, n8n, RAG architectures, and agentic application patterns
  • Python Proficiency: Ability to build and deploy Python applications quickly (sub-15 minutes for simple apps)
  • Development Tools: Excellent working knowledge of VSCode and/or Cursor
  • Cloud Infrastructure: Strong working knowledge of AWS services and deployment
  • Database Skills: SQL expertise and experience with database integration and troubleshooting
  • API Integration: Experience with API integrations and software development principles
  • AI Fundamentals: Understanding of natural language processing (NLP), machine learning (ML), and automation concepts

Preferred Experience

  • Experience with conversational AI platforms and business workflow automation
  • Background in Technical Account Management or Forward Deployed Engineering roles
  • Familiarity with the broader AI ecosystem and latest developments in agentic AI

Skills

PythonSQLAWSLangChainCrewain8nRAGLLMsNLPMachine Learning

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