Dist Engr – Full Stack

Verizon

. Lead and execute VBG Wireline transformation and innovation across Assisted Sales Quoting, Ordering, Customer Hierarchy, Contract Lifecycle Management, Pricing, and Service Assurance agentic platforms .

Posted 10/8/2026full-timeUnited StatesSeniorLead💰 $137,000 - $263,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in leading technology transformation initiatives, particularly in AI/ML engineering and data analytics across AWS and GCP. Proficient in architecting scalable solutions and implementing MLOps practices to enhance operational efficiency and product delivery.

Highest-signal resume keywords

Technology LeadershipAI/ML EngineeringData AnalyticsMLOps ImplementationSoftware Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLKafkaSparkMLOpsLLMOpsGenerative AIApplication DevelopmentReal-Time Data AnalyticsFull Stack Implementation

Soft Skills

Cross-Functional CollaborationStakeholder ManagementTeam LeadershipStrategic ExecutionBusiness Analysis

Tools & Technologies

AWSGCPAWS BedrockGoogle Vertex AIBigQueryLangChainSalesforceOracleSAPConga

Certifications & Qualifications

Bachelor's DegreeMaster's Degree in Computer ScienceMaster's Degree in Data Science

Industry Keywords

B2B Products4G Network Protocols5G Network ProtocolsCPQ ProductsDigital Transformation

Tech Stack

Tools & technologies

AWSBigQueryGoogle Cloud PlatformIoTKafkaOraclePythonSparkSQL

About the role

Key responsibilities & impact

Lead and execute VBG Wireline transformation and innovation across Assisted Sales Quoting, Ordering, Customer Hierarchy, Contract Lifecycle Management, Pricing, and Service Assurance agentic platforms
Partner cross-functionally with IT and business units to establish goals, objectives, vision, and strategy
Lead product enablement and business alignment across Advanced Communications, Network, IoT, Customer Premise Equipment, Security Services, and Consulting Services portfolios
Architect and operationalize GenAI-powered agents, LLMs, RAG, and agentic frameworks as digital employees for quoting, ordering, orchestration, inventory, and service assurance
Build and scale data analytics and streaming pipelines across AWS and GCP for real-time customer, partner, and employee transactions across CPQ systems
Translate complex products, customer RFPs, and migrations into scalable, production-grade AI solutions
Establish end-to-end MLOps/LLMOps practices, including model monitoring, fine-tuning, security guardrails, and automated CI/CD deployment pipelines
Analyze and map enterprise processes to define logic, constraints, and operational boundaries for agents on the Kairos platform
Lead stakeholder reviews, validate feature alignment, capture feedback, and refine system specifications
Manage software delivery with onshore and offshore resource teams and IT vendors
Improve global team productivity and throughput using DevOps methodologies and agile sprints

Requirements

What you’ll need

Bachelor's degree or six or more years of work experience
6+ years of technology leadership, including technology selection, architecture, and full stack implementation
8+ years of Software Engineering and Development experience, including leading IT teams through technology transformation, business analysis and strategic execution
10+ years of delivery experience in highly available and massively scalable systems and services
Eight or more years of relevant experience in Application development, AI/ML engineering, software architecture, and real-time data analytics
Experience with Generative AI concepts, including LLMs, prompt engineering, RAG, and agentic multi-agent orchestration frameworks
Experience building, deploying, and scaling data analytics and AI solutions across AWS and GCP
Master's degree in Computer Science, Data Science, or a related technical field (preferred)
Experience with AWS Bedrock, Google Vertex AI, BigQuery, or LangChain
Understanding of B2B Products, 4G/5G network protocols, and CPQ products such as Salesforce, Oracle, SAP, or Conga
Strong production coding capabilities with Python, SQL, Kafka, Spark, and microservice architectures for real-time streaming telemetry
Experience implementing MLOps/LLMOps pipelines, security guardrails, and model evaluation standards for autonomous systems

Benefits

Comp & perks

Medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance
Identity theft protection
Pet insurance
Group home & 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
Premium pay such as overtime, shift differential, holiday pay, allowances, etc.
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Hybrid work arrangement (working from home and a minimum of three days per week in the office)