Note: The job is a remote job and is open to candidates in USA. Arbor TekSystems is seeking an Applied AI Engineer - Forward Deployed Engineer to lead customer-facing AI initiatives. The role transforms conversational AI prototypes into secure, scalable production systems, architects agentic workflows, builds evaluation and observability pipelines, and partners with customer engineering teams to deliver enterprise AI solutions.
Responsibilities
- Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI
- Architect and code conversational flows that are not just functional but optimized for the "connective tissue" between Google's Conversational AI products (Gemini-powered Conversational Agents/CX, Customer Engagement Suite, and Contact Center AI) and customers' live infrastructure, including APIs, legacy data silos, and security perimeters
- Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking
- Identify repeatable field patterns and technical "friction points" in Google's AI stack, converting them into reusable modules or product feature requests for Engineering teams
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption
Skills
- Bachelor's degree in engineering, Computer Science, a related field, or equivalent practical experience
- 5 years of experience with software development using Python or similar coding languages
- Experience architecting AI systems on cloud platforms (e.g., GCP)
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions
- Experience taking production-grade AI-driven solutions from conception to launch for customers
- Experience leading technical discovery sessions with customers
- Hands-on experience implementing and customizing Google's Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI)
- Master's or PhD in AI, Computer Science, or a related technical field
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation)
- Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing
- Production-grade experience architecting voice and agentic systems across the Google Enterprise CX ecosystem (Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, CCAI)
- Formally assessed, top-decile engineering talent (e.g., Google AI/FD0 Bootcamp certification or verified 80%+ benchmark assessments)
- Demonstrated domain depth with telecom APIs, user authentication (UA), and enterprise business architectures (BAA)
- Senior "tiger team" talent capable of driving execution independently while actively upskilling co-delivery partner teams
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