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Principal Forward Deployed Engineer GenAI and Telecom Architecture

System Edge (USA) L.L.C.

Austin, Texas • Today

Easy Apply

Contract, Third Party

$65 - $75

Job Details

Skills

Artificial Intelligence
Authorization
Billing
Business Support Systems
Computer Networking
Computer Science
Customer Engineering
Customer Experience
Customer Facing
Customer Relationship Management (CRM)
Customer Service
Debugging
Delegation
Embedded Systems
Evaluation
GC
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IaaS
Management
Mentorship
Microsoft Certified Professional
Microsoft Windows
Network
Network Security
Operations Support Systems
Order Management
Privacy
Provisioning
Python
React.js
Servers
Service Assurance
Service Operations
Shipping
Software Engineering
Solution Architecture
TM
Telecommunications
Unstructured Data
Vector Databases
Vertex

Artificial Intelligence
Authorization
Billing
Business Support Systems
Computer Networking
Computer Science
Customer Engineering
Customer Experience
Customer Facing
Customer Relationship Management (CRM)
Customer Service
Debugging
Delegation
Embedded Systems
Evaluation
GC
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IaaS
Management
Mentorship
Microsoft Certified Professional
Microsoft Windows
Network
Network Security
Operations Support Systems
Order Management
Privacy
Provisioning
Python
React.js
Servers
Service Assurance
Service Operations
Shipping
Software Engineering
Solution Architecture
TM
Telecommunications
Unstructured Data
Vector Databases
Vertex

Summary

Principal Forward Deployed Engineer GenAI and Telecom Architecture

Location: San Jose CA or Austin TX Or Even Remote

Visa: and EAD

Client: Google (Tech-M)

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.

Deployment readiness hard stops for both roles

No demonstrated ownership of enterprise or solution architecture decisions.
Telecom appears only as a keyword, client name or early-career application project with no architecture depth.
Candidate cannot describe a telecom system context, integration landscape, security model and production outcome.
Architecture-only candidate who cannot explain personal coding, deployment or incident-debugging contributions.
For Requirement 1, no verifiable hands-on Google Conversational AI, CX or CCAI implementation.
For Requirement 2, no verifiable production GenAI, agentic AI or RAG delivery.

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: 9091398
Posted 15 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

Patti Cselovszky

Talent Acquisition Manager @ System Edge (USA) L.L.C.

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Remote

•

Today

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 ArchitectureLocations: 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

Easy Apply

Contract, Third Party

Depends on Experience

Principal Forward Deploy Engineer Applied AI and Telecom Architecture

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

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

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, Third Party, Contract

Job Details

Skills

Artificial Intelligence
Authorization
Billing
Business Support Systems
Computer Networking
Computer Science
Customer Engineering
Customer Experience
Customer Facing
Customer Relationship Management (CRM)
Customer Service
Debugging
Delegation
Embedded Systems
Evaluation
GC
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IaaS
Management
Mentorship
Microsoft Certified Professional
Microsoft Windows
Network
Network Security
Operations Support Systems
Order Management
Privacy
Provisioning
Python
React.js
Servers
Service Assurance
Service Operations
Shipping
Software Engineering
Solution Architecture
TM
Telecommunications
Unstructured Data
Vector Databases
Vertex

Artificial Intelligence
Authorization
Billing
Business Support Systems
Computer Networking
Computer Science
Customer Engineering
Customer Experience
Customer Facing
Customer Relationship Management (CRM)
Customer Service
Debugging
Delegation
Embedded Systems
Evaluation
GC
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IaaS
Management
Mentorship
Microsoft Certified Professional
Microsoft Windows
Network
Network Security
Operations Support Systems
Order Management
Privacy
Provisioning
Python
React.js
Servers
Service Assurance
Service Operations
Shipping
Software Engineering
Solution Architecture
TM
Telecommunications
Unstructured Data
Vector Databases
Vertex

Summary

Principal Forward Deployed Engineer GenAI and Telecom Architecture

Location: San Jose CA or Austin TX Or Even Remote

Visa: and EAD

Client: Google (Tech-M)

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.

Deployment readiness hard stops for both roles

No demonstrated ownership of enterprise or solution architecture decisions.
Telecom appears only as a keyword, client name or early-career application project with no architecture depth.
Candidate cannot describe a telecom system context, integration landscape, security model and production outcome.
Architecture-only candidate who cannot explain personal coding, deployment or incident-debugging contributions.
For Requirement 1, no verifiable hands-on Google Conversational AI, CX or CCAI implementation.
For Requirement 2, no verifiable production GenAI, agentic AI or RAG delivery.

Dice Id: 10106959
Position Id: 9091398
Posted 15 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

Patti Cselovszky

Talent Acquisition Manager @ 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

Principal Forward Deploy Engineer Applied AI and Telecom Architecture

Remote

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

GenAI FDE

Remote

•

Today

Easy Apply

Contract, Third Party

60 - 70

FDE - Gen AI

Remote

•

Today

Easy Apply

Full-time, Third Party, Contract

Principal Forward Deployed Engineer GenAI and Telecom Architecture

Skills

Summary

Job responsibilities

Minimum qualifications

Preferred qualifications

Deployment readiness hard stops for both roles

Dice Job Match Score™

Patti Cselovszky

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Principal Forward Deployed Engineer GenAI and Telecom Architecture

Job Details

Skills

Summary

Job responsibilities

Minimum qualifications

Preferred qualifications

Deployment readiness hard stops for both roles

Dice Job Match Score™

Patti Cselovszky

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