Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Verizon

Principal Forward Deployed AI Engineer

Verizon

. Architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems into live operations .

Posted 11/12/2026full-timeUnited StatesLead💰 $120,500 - $231,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and deploying production-grade agentic systems and full-stack microservices, with proficiency in Python, TypeScript, and modern cloud environments. Capable of leading technical initiatives, mentoring engineers, and translating business requirements into effective technical architectures.

Highest-signal resume keywords
Production Software DeploymentAgentic WorkflowsPython ProficiencyFull-Stack ProgrammingLLM Applications Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonTypeScriptSQLDockerAPI DesignProduction RAG PipelinesHybrid SearchEvent-Driven State MachinesEvaluation FrameworksObservability Systems
Soft Skills
Technical LeadershipArchitectural DesignStakeholder CommunicationMentoring
Tools & Technologies
Domino Data LabApache AirflowKubernetesAWSGCPAzureClaude CodeCursorCopilot
Industry Keywords
TelecommunicationsNetwork Capacity OptimizationCapital PlanningCustomer Care Operations

Tech Stack

Tools & technologies
AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact
  • Architect, build, and deploy production-grade agentic systems, enterprise RAG engines, full-stack microservices, and decision systems into live operations
  • Define full-stack architectures for embedded AI initiatives, including multi-agent orchestration, state machines, latency/cost budgets, security boundaries, and enterprise backend integrations
  • Architect stateful agent workflows using LangGraph, Temporal, or event-driven state machines
  • Establish protocols for tool calling, execution sandboxing, deterministic fallback logic, and agentic governance
  • Design production RAG infrastructure with hybrid search, re-ranking, metadata filtering, and semantic caching
  • Deploy agent services and scheduled workflows to Domino Data Lab, Apache Airflow, Kubernetes, and serverless cloud runtimes
  • Architect offline and online evaluation frameworks to measure model drift, hallucination rates, and task completion
  • Generalize custom deployments into reusable SDKs, API primitives, shared libraries, and modular UI components
  • Mentor engineers and draft technical documentation for Verizon patent disclosures
  • Embed with business-unit leadership to identify high-leverage applied AI opportunities
  • Serve as technical authority for Vice Presidents and Managing Directors, explaining algorithmic behavior, failure modes, and trade-offs

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field or four or more years of work experience
  • Six or more years of relevant experience, demonstrated through work and/or military experience or specialized training
  • Six or more years of shipping production software and/or experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
  • Hands-on experience with frontier LLMs including Anthropic Claude, OpenAI, and Google Gemini
  • Experience with agentic developer frameworks including Claude Code, Cursor, and Copilot
  • Proficiency in Python and modern TypeScript/Node.js
  • Experience with Docker, API design, and AWS, GCP, or Azure
  • Experience implementing offline evaluation benchmarks and online evaluation/observability pipelines
  • Experience deploying containerized services and data workflows across Domino Data Lab, Apache Airflow, Kubernetes, and hyperscaler cloud environments
  • Advanced full-stack programming experience in Python, SQL, and modern JavaScript/TypeScript stacks
  • Experience designing evaluation harnesses, guardrail frameworks, and observability systems
  • Ability to scope ambiguous technical initiatives and present architectural designs to senior executive stakeholders
  • Ability to translate ambiguous business requirements into technical architectures and lead project delivery end-to-end
  • Master’s degree in a related technical field is preferred
  • Experience with centralized context platforms or enterprise search engines
  • Prior forward-deployed engineering, solutions architecture, or technical consulting experience
  • Experience turning operational builds into shared libraries, with technical publications or filed patents
  • Domain knowledge in telecommunications, network capacity optimization, capital planning, or large-scale customer care operations
  • Expertise in production RAG pipelines, vector databases, hybrid search, and dynamic context management

Benefits

Comp & perks
  • Medical, dental, and vision insurance
  • Short- and long-term disability insurance
  • Basic and supplemental life insurance
  • AD&D insurance
  • Identity theft protection
  • Pet insurance
  • Group home and auto insurance
  • Matched 401(k) savings plan
  • Up to 8 company-paid holidays per year
  • Up to 6 personal days per year
  • Paid parental leave
  • Adoption assistance
  • Tuition assistance
  • Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
  • Up to 15 days of vacation per year for newly hired employees, increasing with additional service
  • Incentive-based compensation with potential to earn more