When you join Verizon

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.

As a Senior Engineer Consultant - AI Science 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 enterprise engineeringtranslating ambiguous business requirements into robust high-performance AI architectures. You will guide business from proof-of-concept (PoC) to scalable production establish technical governance and mentor emerging AI talent.

What You Will Do

- 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 (e.g. LLM-as-a-judge).
- 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 translate complex algorithmic decisions into measurable business impact (ROI cost-per-query latency budgets) and deliver compelling technical presentations to C-suite leadership.
- Practice Growth & Technical Evangelism: Lead technical proposals (RFPs/POCs) formulate point-of-view (PoV) whitepapers explore emerging frontier models and open-source tooling and continuously enhance internal IP reference architectures and reusable accelerators.
- 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.

What We Are Looking For

You are an applied AI practitioner and pragmatic engineer who thrives on turning raw research and frontier models into secure reliable software systems. You balance algorithmic depth with system architecture understand the operational bottlenecks and scaling best practices and are able to own technical delivery at scale end to end.

Minimum Qualifications

- Education & Experience:



Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or a related quantitative field paired with 4 years of hands-on experience in applied machine learning deep learning and advanced NLP/GenAI in an enterprise or consulting workplace.
- GenAI & Agentic Architectures: Deep hands-on experience building autonomous agents and complex multi-agent orchestration frameworks (e.g. LangGraph AutoGen CrewAI LlamaIndex Semantic Kernel) using tool-calling stateful memory and routing graphs.
- Advanced RAG & Retrieval Systems: Demonstrated expertise implementing hybrid search pipelines (dense vectors sparse BM25) semantic routing contextual compression reranking models (e.g. Cohere BGE) and production vector databases (e.g. Pinecone Qdrant Milvus pgvector).
- Fine-Tuning & Model Adaptation: Practical experience fine-tuning open-source LLMs/SLMs (e.g. Llama Mistral Gemma Phi) using PEFT LoRA/QLoRA DeepSpeed or Unsloth paired with robust knowledge of post-training evaluation frameworks (e.g. Ragas DeepEval TruLens).
- Software Engineering & APIs: Strong proficiency in Python modern asynchronous web frameworks (FastAPI) containerization (Docker Kubernetes) and designing secure low-latency REST/gRPC endpoints.
- Cloud & Distributed Computing: Hands-on experience architecting ML/AI workloads on at least one major cloud platform (AWS SageMaker/Bedrock Azure OpenAI/ML or GCP Vertex AI).

Where youll be working

In this hybrid role youll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

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

Required Experience:

Senior IC

📌 Sr Engr Cslt-AI Science (Bengaluru)
🏢 Verizon
📍 Bengaluru