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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 .
Core Competencies
Role fitCore 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, while effectively managing cross-functional teams and delivering scalable solutions across AWS and GCP environments.
Highest-signal resume keywords
Technology LeadershipAI/ML EngineeringData AnalyticsMLOps/LLMOps ImplementationSoftware Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLKafkaSparkGenerative AILLMsMLOpsCI/CD PipelinesApplication DevelopmentReal-Time Data Analytics
Soft Skills
Cross-Functional CollaborationStakeholder ManagementStrategic Execution
Tools & Technologies
AWSGCPAWS BedrockGoogle Vertex AIBigQueryLangChainSalesforceOracleSAPConga
Certifications & Qualifications
Bachelor's DegreeMaster's Degree in Computer Science or Data Science
Industry Keywords
B2B Products4G/5G Network ProtocolsCPQ ProductsDigital TransformationAgile Methodologies
Tech Stack
Tools & technologiesAWSBigQueryGoogle 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, VBG 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 transactions across CPQ systems
- Translate complex products, customer RFPs, and migrations into scalable, production-grade AI solutions
- Establish end-to-end MLOps/LLMOps practices, model monitoring, fine-tuning, security guardrails, and automated CI/CD 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 teams and IT vendors using DevOps methodologies and agile sprints
- Report to the Sr. Director of Verizon Business GTS Sales and Ordering
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
- 8+ 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 is preferred
- Experience with AWS Bedrock, Google Vertex AI, BigQuery, and LangChain
- Understanding of B2B products, 4G/5G network protocols, and CPQ products such as Salesforce, Oracle, SAP, and 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 insurance
- Basic life insurance and 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
- Potential premium pay such as overtime, shift differential, holiday pay, and allowances
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service