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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable AI/ML solutions, with a strong focus on production-grade systems and integration with customer success platforms. Proven ability to lead technical strategy, mentor engineering teams, and ensure compliance with data privacy and security standards.
Highest-signal resume keywords
AI/ML System DesignProduction-Grade AI/ML PipelinesCloud-Native Application DeploymentAgile Software DevelopmentTechnical Architecture Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI/ML FrameworksFastAPIPydanticElasticsearchDockerCI/CD PipelinesAutomated AI EvaluationsModel Context ProtocolAsynchronous APIs
Soft Skills
CollaborationMentoringTechnical CommunicationStrategic PlanningProblem-Solving
Tools & Technologies
Google Cloud PlatformCloud RunCloud SQLBigQueryOpenTelemetryNew RelicArize PhoenixGalileoPegaDigital Hub
Certifications & Qualifications
Bachelor's DegreeMaster's DegreePhD in Computer ScienceData Science
Industry Keywords
Agentic AILarge Language ModelsCognitive FrameworksData PrivacyComplianceCustomer Service OperationsEnterprise IntegrationRetail WorkflowsIVRTransaction Safeguards
Tech Stack
Tools & technologiesBigQueryCloudDockerElasticSearchGoogle Cloud PlatformGraphQLPostgresPythonRedisSOAPSQL
About the role
Key responsibilities & impact- Lead the technical vision, architectural design, and execution of agentic AI/ML solutions within Verizon Consumer Group’s AI team
- Drive technical strategy, research, and application of advanced agentic AI, large language models, and cognitive frameworks for consumer challenges
- Design and implement production-grade, highly scalable AI/ML pipelines and agent architectures integrated with digital and customer success platforms
- Collaborate with GTS Architecture, Security, and Legal teams on data privacy, compliance, and engineering rigor
- Partner with Customer Service Operations and VCG Strategy teams to identify high-impact business applications and create technical designs
- Develop and maintain a three-to-five-year technical roadmap for agentic systems across Verizon Consumer Group
- Mentor engineers, establish engineering best practices, and introduce red-teaming methodologies to test system capabilities and safety boundaries
- Translate complex technical concepts, architectures, and AI breakthroughs into executive presentations
Requirements
What you’ll need- Bachelor’s degree or four or more years of work experience
- Six or more years of relevant experience, demonstrated through work experience and/or military experience
- Three or more years of experience designing, building, and deploying production AI/ML systems at scale
- Experience with software development methodologies, such as Agile
- Master’s degree or PhD in Computer Science, Data Science, or a related quantitative field
- Hands-on experience building production conversational AI with Python, Google ADK, LangGraph, LangChain, or comparable frameworks, including multi-agent orchestration, stateful workflows, and enterprise tool integration
- Experience designing and developing asynchronous APIs and services using FastAPI and Pydantic
- Experience integrating enterprise REST, GraphQL, or SOAP services
- Experience implementing Model Context Protocol (MCP) and agent-to-agent communication
- Experience with retrieval-augmented generation (RAG), embeddings, Elasticsearch/vector search, semantic routing, and model gateways such as LiteLLM
- Experience deploying and operating cloud-native AI applications on GCP, including Cloud Run, Cloud SQL, Cloud Storage, and BigQuery
- Experience using Docker and CI/CD pipelines
- Knowledge of PostgreSQL and Redis for conversational state, persistence, and caching
- Experience developing automated AI evaluations and regression tests, including pytest, tool-call and conversation-trajectory validation, and LLM-as-judge evaluations
- Experience with AI observability and production troubleshooting using OpenTelemetry, New Relic, Arize Phoenix, Galileo, or comparable tools
- Familiarity with enterprise customer-service platforms such as Pega and Digital Hub
- Experience integrating AI into retail, IVR, billing, ordering, or retention workflows with appropriate authorization and transaction safeguards
- Proven ability to lead technical architecture, planning, and prioritization; collaborate across engineering, product, and business teams; and deliver multiple large-scale initiatives in a dynamic, Agile environment
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 opportunities, including overtime, shift differential, holiday pay, and allowances
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service
- Other incentives
- Hybrid work arrangement with working from home and a minimum of three days per week in the office