Distinguished Forward Deployed AI Engineer

Verizon

. Lead end-to-end full-stack architecture for embedded AI and agentic initiatives .

Posted 11/12/2026full-timeUnited StatesSeniorLead💰 $137,000 - $263,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack architecture for embedded AI initiatives, with a strong focus on deploying production software and LLM applications. Proficient in Python, TypeScript, and modern cloud technologies, while effectively mentoring engineers and interfacing with enterprise stakeholders.

Highest-signal resume keywords

Full-Stack ArchitectureProduction Software DeploymentPython ProgrammingLLM Applications ExperienceAgentic Developer Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLDockerAPI DesignRAG PipelinesHybrid SearchEvent-Driven State MachinesModel Evaluation FrameworksContainerized Services

Soft Skills

MentoringTechnical DocumentationStakeholder CommunicationProject Delivery LeadershipAmbiguous Initiative Scoping

Tools & Technologies

Domino Data LabApache AirflowKubernetesAWSGCPAzureLangGraphTemporalClaude CodeCursor

Industry Keywords

Embedded AIAgentic WorkflowsTelecommunicationsCustomer GrowthCustomer Segmentation

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Lead end-to-end full-stack architecture for embedded AI and agentic initiatives
Design multi-agent orchestration, state machines, latency and 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, and deterministic fallback logic
Design production RAG infrastructure with hybrid search, reranking, metadata filtering, and semantic caching
Deploy production agent services and scheduled workflows to Domino Data Lab, Apache Airflow, Kubernetes, and serverless cloud runtimes
Architect offline and online evaluation frameworks for model drift, hallucination rates, and task completion metrics
Generalize domain deployments into reusable SDKs, API primitives, shared libraries, and modular UI components
Mentor engineers and draft technical documentation for 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 behaviors, failure modes, and performance 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
Eight or more years of relevant experience, demonstrated through work and/or military experience or specialized training
Extensive hands-on experience with frontier LLMs including Anthropic Claude, OpenAI, and Google Gemini
Experience with agentic developer frameworks including Claude Code, Cursor, and Copilot
Eight or more years shipping production software and/or experience deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production
Strong 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
Deep expertise in production RAG pipelines, vector databases, hybrid search, and dynamic context management
Experience deploying containerized services and data workflows across Domino Data Lab, Apache Airflow, Kubernetes, and hyperscaler cloud environments
Advanced full-stack programming experience and mastery in Python, SQL, and modern JavaScript/TypeScript stacks
Experience designing evaluation harnesses, guardrail frameworks, and observability systems
Ability to independently scope ambiguous technical initiatives and present architectural designs to senior executive stakeholders
Ability to interface directly with enterprise stakeholders, translate ambiguous business requirements into technical architectures, and lead project delivery end-to-end
Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field (preferred)
Experience building and scaling centralized context platforms or enterprise search engines
Prior forward-deployed engineering, solutions architecture, or technical consulting experience in top-tier technology firms or hyperscalers
Record of turning one-off operational builds into enterprise-wide shared libraries, with technical publications or filed patents
Domain knowledge in telecommunications, customer growth and retention, customer segmentation, or large-scale customer care operations

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
Other incentives
Potential premium pay, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with service
Hybrid work arrangement with working from home and a minimum of three days per week in the office