Sr Engr Cslt

About This Role

As a Senior Engineer Consultant - AI Science at Verizon, you will architect, build, and deploy production-grade Generative AI, Agentic workflows, and Advanced NLP systems for enterprise clients. You will bridge the gap between applied research and engineering—translating business requirements into robust, high-performance AI architectures.

Key Responsibilities

• Architect & Deliver End-to-End Solutions: Design, prototype, benchmark, and deploy enterprise-grade Agentic systems, multi-stage RAG pipelines, and fine-tuned Foundation/Small Language Model (LLM/SLM) architectures to solve complex business problems.
• Lead AI Engineering & Productionization: Implement modern LLMOps/GenAIOps standards, including prompt orchestration, deterministic guardrails, structured outputs, automated red-teaming, latency/token-cost optimization, and continuous evaluation using LLM-as-a-judge frameworks.
• Execute High-Impact Fine-Tuning & Quantization: Conduct parameter-efficient fine-tuning (PEFT/LoRA/QLoRA), alignment tuning (DPO, RLHF), and model quantization/distillation for downstream domain specialization and edge/on-premise inference.
• Drive Client Advisory & Executive Communication: Partner with cross-functional global stakeholders to translate algorithmic decisions into measurable business impact (ROI, cost-per-query) and deliver technical presentations to C-suite leadership.
• Mentorship & Technical Leadership: Foster engineering excellence by conducting rigorous code/design reviews, guiding junior scientists on applied ML/GenAI methodologies, and enforcing reproducible data science standards.

Qualifications

You are an applied AI practitioner with 4+ years of hands-on experience in applied machine learning, deep learning, and advanced NLP/GenAI. You possess expertise in autonomous agents (LangGraph, AutoGen), hybrid search pipelines, fine-tuning open-source LLMs using PEFT/LoRA, and software engineering best practices including Python, FastAPI, Docker/Kubernetes, and cloud platforms like AWS SageMaker or Azure OpenAI.