Urgent position of Forward Deployed Engineer (FDE) /Agentic AI Architect (Must Telecom Domain)

Tech Mirrors; United States; À distance; USD 130 000 - 180 000; Plein temps

Résumé du poste

Tech Mirrors is seeking an experienced Forward Deployed Engineer/Agentic AI Architect for remote work to lead Conversational AI pilots and enterprise integrations in a telecom domain. You will transform rapid prototypes into production-grade agentic workflows, design secure cloud architectures on GCP, and build observability pipelines to measure ROI for customer engagements.

This role requires 5+ years of software development, Python proficiency, and IaC experience with Terraform, plus strong

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• Minimum 5 years of professional software development experience.
• Experience architecting AI systems on cloud platforms, preferably GCP.
• Hands-on IaC tooling experience with Terraform or similar.

Responsabilités

• Lead development of Conversational AI and CX applications.
• Transform prototypes into production-grade agentic workflows.
• Design secure, scalable AI systems on cloud platforms.
• Architect flows connecting AI products with enterprise infra.
• Develop eval pipelines and observability frameworks.
• Lead technical delivery for pilots and early CUJs.

Connaissances

Python

Software development

AI systems design

Full-stack integration

Production deployment

Customer-facing engineering

Formation

Bachelor’s degree in Engineering, Computer Science, or related technical field

Outils

Terraform

Google Cloud Platform (GCP)

Infrastructure as Code

APIs

Description du poste

Urgent position of Forward Deployed Engineer (FDE) /Agentic AI Architect (Must Telecom Domain)

Location: Remote

Duration- 1+ years

Key Responsibilities

• Conversational AI & Agentic Application Development
• Serve as the lead developer for complex Conversational AI and Customer Experience (CX) applications.
• Transform rapid prototypes into production-grade agentic workflows, including multi-agent systems and Model Context Protocol (MCP) servers.
• Develop scalable AI solutions that deliver measurable business value and return on investment (ROI).
• AI Architecture & Enterprise Integration
• Architect and develop conversational flows that connect Google’s Conversational AI products with enterprise infrastructure.
• Integrate APIs, legacy data silos, enterprise applications, and security perimeters.
• Design secure, reliable, and scalable AI systems on cloud platforms, including Google Cloud Platform (GCP).
• AI Evaluation & Observability
• Build high-performance evaluation (Eval) pipelines and observability frameworks for complex agentic workloads.
• Support customer adoption and successful delivery of production AI initiatives.
• Lead technical delivery for Conversational AI pilots and establish initial Customer User Journeys (CUJs) at customer locations.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
• Minimum 5 years of professional software development experience using Python or similar programming languages.
• Experience architecting and developing AI systems on cloud platforms, preferably GCP.
• Hands-on experience with Terraform or similar Infrastructure as Code (IaC) tools for provisioning agents, functions, networking, and cloud resources.
• Experience building full-stack applications that integrate with enterprise IT infrastructure.
• Experience delivering technical solutions for external customers or customer-facing engineering projects.
• Strong understanding of software engineering principles, system architecture, and production deployment.