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Principal Forward Deploy Engineer GenAI and Telecom Architecture.

System Edge (USA) L.L.C.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

Artificial Intelligence
Billing
Business Support Systems
Customer Relationship Management (CRM)
Customer Facing
Debugging
Delegation
Disk Encryption
Generative Artificial Intelligence (AI)
Evaluation
Mentorship
Python
Telecommunications
Telecom
applied ai
genai
FDE
Forward Deploy Engineer

Summary

Hi All,

We are immediately hiring for a Principal Forward Deploy Engineer GenAI and Telecom Architecture.

Please go through the JD shared below and share your updated resume along with your contact details ASAP.

Principal FDE GenAI and Telecom Architecture

Locations: San Jose CA, Austin TX or remote; travel based on customer delivery needs

As a Principal GenAI Forward Deployed Engineer, you are an embedded innovator-builder and principal architect who connects frontier AI products with production telecom operations. You code, debug and jointly ship bespoke agentic solutions inside customer environments while owning the target architecture, integration strategy, production readiness and technical governance required for carrier-grade scale.

Job responsibilities:

Own principal architecture and hands-on engineering for production GenAI and agentic applications, including multi-agent systems, MCP servers and enterprise tool integrations.
Design target-state and transition architectures connecting Gemini and Vertex AI capabilities with telecom data, network/service APIs, BSS/OSS, CRM, billing, order management, provisioning and customer-care platforms.
Build structured and unstructured data pipelines, vector retrieval and RAG architectures over telecom knowledge, policy, product, network and customer data.
Define scalable state-management, evaluation, tracing and observability patterns for distributed agents, tools and customer journeys.
Establish architecture guardrails for identity, authorization, data residency, privacy, model access, network segmentation, auditability and human approval.
Lead technical discovery, architecture reviews and production-readiness decisions with customer engineering, network, security, operations and product teams.
Translate field patterns into reusable reference architectures, modules, accelerators and product feature requests.
Remain hands-on in Python, APIs, debugging, cloud infrastructure and critical production troubleshooting while mentoring delivery teams.

Minimum qualifications

Bachelor's degree in Engineering, Computer Science or a related field, or equivalent practical experience.
At least 8 years of software engineering experience, including 5 years with Python or a comparable language and 3 years in staff, principal or lead solution architecture.
Production experience architecting AI systems on Google Cloud Platform and shipping customer-facing AI solutions from conception through launch.
Experience building pipelines for structured and unstructured data using vector databases and RAG architectures.
Demonstrated telecom-domain architecture involving carrier/customer platforms, BSS/OSS, telecom APIs, subscriber identity, provisioning, billing, network/service operations or telecom-grade contact centers.
Experience owning integration, security, reliability, scale and operational-readiness decisions across multiple systems and teams.
Experience leading technical discovery and architecture sessions directly with customers.
Hands-on experience with Google AI products; direct experience with Gemini, Vertex AI and Google Conversational AI is strongly required for customer deployment readiness.

Preferred qualifications:

Master s or PhD in AI, Computer Science, Telecommunications or a related technical field.
Production experience with ADK, LangGraph, CrewAI, ReAct, self-reflection, hierarchical delegation or MCP.
Knowledge of TM Forum APIs and frameworks, event-driven telecom architectures, digital channels, CCaaS/CPaaS, 5G or network/service assurance.
Experience optimizing LLM-native metrics including tokens per second, cost per request, task success, state management and granular traces.
Experience designing highly available, fault-tolerant systems for carrier-grade traffic and critical service windows.

Thanks & Regards

Prabhash

SYSTEM EDGE USA LLC

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106959
Position Id: 9091648
Posted 5 hours ago

Fitment

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Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Som Bhattacharya

Technical Recruiter @ System Edge (USA) L.L.C.

View Profile

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Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Hi All, We are immediately hiring for a Principal Forward Deploy Engineer Applied AI and Telecom Architecture. Please go through the JD shared below and share your updated resume along with your contact details ASAP. Principal FDE Applied AI and Telecom ArchitectureLocations: San Jose CA, Austin TX or remote; travel up to 50 percent As a Principal Forward Deployed Engineer in Applied AI, you are the agent engineer and principal solution architect for customers' most critical conversational AI an

Easy Apply

Contract, Third Party

Depends on Experience

FDE - Gen AI

Remote

•

Today

FDE - Gen AI Remote (work timing PST) Full Time/Contract As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer s environment. This role is designed for high-agency en

Easy Apply

Full-time, Contract, Third Party

GenAI FDE

Remote

•

Today

Job Title : Gen AI Engineer Location: Remote Experience : 12+ Years Dialogflow CX and conversational AI is MUST As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers en

Easy Apply

Contract, Third Party

60 - 70

Google AI Architect

Remote

•

Today

Required Qualifications: Experience: 15+ years in IT infrastructure, software engineering, or cloud architecture, with 5+ focused specifically on advanced AI/ML and GenAI solutions.Core Technical Stack: Deep hands-on proficiency with Google Cloud Platform (Vertex AI, Gemini Enterprise, BigQuery, GKE, Cloud Run) and multi-agent orchestration toolkits.Domain Expertise: Super strong network background with deep knowledge of telecommunications network architecture, protocols, and large-scale operati

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

Artificial Intelligence
Billing
Business Support Systems
Customer Relationship Management (CRM)
Customer Facing
Debugging
Delegation
Disk Encryption
Generative Artificial Intelligence (AI)
Evaluation
Mentorship
Python
Telecommunications
Telecom
applied ai
genai
FDE
Forward Deploy Engineer

Summary

Hi All,

We are immediately hiring for a Principal Forward Deploy Engineer GenAI and Telecom Architecture.

Please go through the JD shared below and share your updated resume along with your contact details ASAP.

Principal FDE GenAI and Telecom Architecture

Locations: San Jose CA, Austin TX or remote; travel based on customer delivery needs

Job responsibilities:

Own principal architecture and hands-on engineering for production GenAI and agentic applications, including multi-agent systems, MCP servers and enterprise tool integrations.
Design target-state and transition architectures connecting Gemini and Vertex AI capabilities with telecom data, network/service APIs, BSS/OSS, CRM, billing, order management, provisioning and customer-care platforms.
Build structured and unstructured data pipelines, vector retrieval and RAG architectures over telecom knowledge, policy, product, network and customer data.
Define scalable state-management, evaluation, tracing and observability patterns for distributed agents, tools and customer journeys.
Establish architecture guardrails for identity, authorization, data residency, privacy, model access, network segmentation, auditability and human approval.
Lead technical discovery, architecture reviews and production-readiness decisions with customer engineering, network, security, operations and product teams.
Translate field patterns into reusable reference architectures, modules, accelerators and product feature requests.
Remain hands-on in Python, APIs, debugging, cloud infrastructure and critical production troubleshooting while mentoring delivery teams.

Minimum qualifications

Bachelor's degree in Engineering, Computer Science or a related field, or equivalent practical experience.
At least 8 years of software engineering experience, including 5 years with Python or a comparable language and 3 years in staff, principal or lead solution architecture.
Production experience architecting AI systems on Google Cloud Platform and shipping customer-facing AI solutions from conception through launch.
Experience building pipelines for structured and unstructured data using vector databases and RAG architectures.
Demonstrated telecom-domain architecture involving carrier/customer platforms, BSS/OSS, telecom APIs, subscriber identity, provisioning, billing, network/service operations or telecom-grade contact centers.
Experience owning integration, security, reliability, scale and operational-readiness decisions across multiple systems and teams.
Experience leading technical discovery and architecture sessions directly with customers.
Hands-on experience with Google AI products; direct experience with Gemini, Vertex AI and Google Conversational AI is strongly required for customer deployment readiness.

Preferred qualifications:

Master s or PhD in AI, Computer Science, Telecommunications or a related technical field.
Production experience with ADK, LangGraph, CrewAI, ReAct, self-reflection, hierarchical delegation or MCP.
Knowledge of TM Forum APIs and frameworks, event-driven telecom architectures, digital channels, CCaaS/CPaaS, 5G or network/service assurance.
Experience optimizing LLM-native metrics including tokens per second, cost per request, task success, state management and granular traces.
Experience designing highly available, fault-tolerant systems for carrier-grade traffic and critical service windows.

Thanks & Regards

Prabhash

SYSTEM EDGE USA LLC

Dice Id: 10106959
Position Id: 9091648
Posted 5 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Som Bhattacharya

Technical Recruiter @ System Edge (USA) L.L.C.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

FDE - Gen AI

Remote

•

Today

Easy Apply

Full-time, Contract, Third Party

GenAI FDE

Remote

•

Today

Easy Apply

Contract, Third Party

60 - 70

Google AI Architect

Remote

•

Today

Easy Apply

Third Party, Contract

Depends on Experience

Principal Forward Deploy Engineer GenAI and Telecom Architecture.

Skills

Summary

Principal FDE GenAI and Telecom Architecture

Dice Job Match Score™

Som Bhattacharya

Similar Jobs

Principal Forward Deploy Engineer GenAI and Telecom Architecture.

Job Details

Skills

Summary

Principal FDE GenAI and Telecom Architecture

Dice Job Match Score™

Som Bhattacharya

Similar Jobs