[Hiring] Gen AI Forward Deployed Engineer @ZENITH INFOTEK LLC

Role Description

We are seeking a highly hands-on GenAI Forward Deployed Engineer (FDE) to build and deploy production-grade AI solutions for enterprise customers. The FDE acts as an innovator-builder, bridging the gap between advanced Google Cloud AI products and real-world enterprise environments. This role goes beyond advisory architecture—you will design, code, integrate, debug, deploy, and optimize sophisticated agentic AI applications directly with customer engineering teams. The ideal candidate is a high-agency engineer with strong software development skills, cloud architecture expertise, enterprise AI experience, and the ability to independently drive complex technical engagements from discovery through production.

Key Responsibilities

• Build and deploy complex GenAI and agentic AI applications, moving solutions from prototypes to production.
• Develop multi-agent workflows, MCP servers, RAG architectures, and enterprise AI applications that deliver measurable business value.
• Architect and implement integrations between Google Cloud AI products and customer environments, including APIs, legacy systems, enterprise data sources, and security boundaries.
• Work with technologies across the Google Enterprise CX ecosystem, including Gemini, Conversational Agents, Customer Engagement Suite (CES), and Contact Center AI (CCAI).
• Build data pipelines for structured and unstructured enterprise data, including vector databases and RAG-based architectures.
• Develop evaluation frameworks and observability solutions to measure accuracy, safety, latency, cost, and overall agent performance.
• Troubleshoot production blockers involving data readiness, integrations, authentication, state management, security, and system performance.
• Lead technical discovery sessions with customer engineering and business stakeholders.
• Collaborate directly with customer teams to design, implement, test, and productionize AI solutions.
• Identify recurring implementation challenges and convert field learnings into reusable components, accelerators, or product feedback for engineering teams.
• Establish engineering best practices and help customer teams successfully maintain and scale deployed solutions.
• Independently drive execution on complex customer engagements while mentoring and upskilling partner engineering teams.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience, preferably with Python or similar programming languages.
• Strong experience architecting and deploying AI/ML systems on cloud platforms, preferably GCP.
• Hands-on experience building enterprise AI solutions using:
  • RAG architectures
  • Vector databases
  • Structured and unstructured data pipelines
  • LLM/GenAI applications
• Proven experience taking production-grade AI solutions from concept through deployment and launch.
• Experience conducting technical discovery sessions and working directly with enterprise customers.
• Hands-on implementation and customization experience with Google's conversational AI ecosystem, including:
  • Dialogflow / Conversational Agents
  • Gemini-powered CX
  • Customer Engagement Suite (CES)
  • Contact Center AI (CCAI)

Preferred Qualifications

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Experience building multi-agent systems using frameworks such as:
  • LangGraph
  • CrewAI
  • Google ADK
• Experience implementing advanced agentic patterns such as:
  • ReAct
  • Self-reflection
  • Hierarchical delegation
  • Multi-agent orchestration
• Strong understanding of LLM-native performance metrics, including:
  • Tokens per second
  • Cost per request
  • Latency
  • Model utilization
  • Agent accuracy
• Experience with state management, tracing, evaluation, and observability for agentic systems.
• Experience with production-grade conversational and voice AI systems across:
  • Dialogflow CX
  • CX Agent Studio
  • Agent Assist
  • CCAI / CCaaS
  • SCRAPI
• Strong understanding of enterprise authentication, APIs, security architecture, and integration patterns.
• Experience working with telecommunications APIs and enterprise telecom architectures.
• Ability to operate as a senior tiger-team engineer, independently solving ambiguous and technically complex problems.
• Experience mentoring and enabling customer or partner engineering teams.

This is a remote position.