Senior Engineering Consultant-AI Science

You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn grow and thrive. At Verizon we power and empower how people live work and play by connecting them to what brings them joy. We do what we love driving innovation creativity and impact in the world. Our V Team is a community of people who anticipate lead and believe that listening is where learning crisis and in celebration we come together lifting our communities and building trust in how we show up everywhere & always. Want in Join the #VTeamLife.

The Senior Engineer Consultant AI Science serves as a technical leader and subject matter expert in artificial intelligence machine learning and advanced this hybrid consulting and engineering role you will bridge the gap between complex business challenges and cutting-edge AI technologies. You will architect build and deploy production-grade AI solutionsincluding Generative AI Retrieval-Augmented Generation (RAG) and autonomous Agentic AI systemsto drive measurable business impact and transformation.

• Design scalable enterprise-grade architecture for AI/ML systems Generative AI models and autonomous multi-agent frameworks (e.g. LangGraph CrewAI AutoGen).
• Define standards for Model Context Protocol (MCP) RAG architectures prompt engineering and LLM fine-tuning/evaluation.
• Assess technical feasibility select model architectures and define data pipelines for complex structured and unstructured datasets.

• Programmatically integrate state-of-the-art LLM APIs (e.g. OpenAI Anthropic Claude Google Gemini) into enterprise workflows.
• Develop train and validate statistical models optimization algorithms and machine learning pipelines using Python R or C.
• Implement MLOps AI observability and tracing tools to monitor model drift token usage efficiency latency and system performance in production.

• Act as a trusted technical advisor to cross-functional leaders product managers and external clients.
• Translate unstructured business problems into actionable mathematical and computational models.
• Communicate complex technical concepts model outputs and risk assessments to both technical teams and non-technical business executives.

• Champion enterprise AI safety ethical AI data governance and secure coding practices.
• Mentor junior AI engineers and data scientists on modern development workflows including the effective leverage of AI coding assistants (e.g. GitHub Copilot Cursor).

• Languages & Frameworks: Fluent in Python SQL and Deep Learning frameworks (PyTorch TensorFlow).
• Generative AI & Agentic AI: Hands-on experience with orchestration frameworks (LangChain LlamaIndex LangGraph) vector databases (Pinecone Qdrant Milvus) and agentic workflows.
• Cloud & Infrastructure: Cloud AI platforms (AWS Bedrock/SageMaker GCP Vertex AI or Azure OpenAI/AI Foundry).
• MLOps & Deployment: Experience with Docker Kubernetes CI/CD for AI models MLflow and API integration (REST gRPC).

• Education: Bachelors Masters or Ph.D. in Computer Science Data Science Artificial Intelligence Applied Mathematics or a related quantitative field.
• Experience: 6 years of relevant experience in software engineering data science or AI consulting with a proven track record of shipping AI models into production environments.

• Strong analytical reasoning and structured problem-solving abilities.
• Exceptional written and verbal communication skills for technical and business audiences.
• Ability to work autonomously in ambiguity and manage multiple project streams simultaneously.

• Experience with Model Context Protocol (MCP) and multi-agent orchestration frameworks.
• Industry expertise in supply chain finance telecommunications or operations research.
• Contributions to open-source AI/ML libraries technical publications or patent filings.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race gender disability or any other legally protected characteristics.