Sr Engr Cslt-tech Strategy

Verizon Verizon · Telecom · Chennai, India +1

Senior Engineer Consultant in Tech Strategy & Planning for Enterprise Architecture, focusing on managing programs, building Engineering Excellence, and optimizing the development landscape. Responsibilities include technology road-mapping, stakeholder engagement, architectural alignment, innovation research, and vendor management. Requires experience in Data Science, LLM, Gen AI, delivering information management solutions, and developing/testing Generative AI solutions (agentic and non-agentic). Deep understanding of frameworks like LangGraph, AutoGen, LangSmith, data preprocessing, prompt management, caching, validation, advanced RAG, RLHF, LLMOps, and data pipelines is essential. The role involves designing end-to-end Generative AI solutions, applying LLM techniques to unstructured data, and developing scalable LLM/NLP prototypes.

What you'd actually do

  1. Technology Road-mapping: Develop and maintain a technology roadmap that aligns with the organization's strategic goals and evolving industry trends.
  2. Engaging with Technology, Business stakeholders and Senior Leadership to drive product roadmap, define the priorities and deliver products with best quality for a high scale use.
  3. Working closely with the Architects and cross functional teams to ensure overall architecture and design are aligned with Industry’s best practices.
  4. Innovation and Research: Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions.
  5. Vendor and Partner Management: Evaluate and manage relationships with technology vendors and partners to ensure they support the organization's strategic objectives.

Skills

Required

  • Data Science
  • LLM
  • Gen AI
  • Information management solutions
  • Generative AI solution development and testing
  • Agentic AI
  • non-Agentic AI
  • LangGraph
  • AutoGen
  • LangSmith
  • Data preprocessing
  • Prompt management
  • Caching
  • Validation
  • Advanced RAG
  • RLHF
  • LLMOps
  • data pipelines
  • Generative AI solutions design
  • automation and AI technologies
  • LLM Modules development
  • NLP Modules development
  • unstructured data analysis
  • structured data translation
  • independent research skills
  • creative research skills
  • advanced analytics
  • Gen AI trends
  • process opportunity identification
  • feasibility assessment
  • written communication skills
  • verbal communication skills

Nice to have

  • Graph DB Concepts
  • CloudEra
  • Snowflake
  • DataBricks
  • text processing
  • Vector databases
  • embedding models

What the JD emphasized

  • Minimum 8 years of experience in one or more of Data Science, LLM, Gen AI
  • Development and testing of Generative AI solution both through Agentic and non-AgenticAI
  • Deep understanding of frameworks like LangGraph, AutoGen, LangSmith
  • Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF and success measurement.
  • Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases.
  • Designing end-to-end Generative AI solutions tailored to specific Verizon use cases.
  • Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the company’s product lines.
  • Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data
  • Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and Gen AI

Other signals

  • Generative AI
  • LLM
  • Agentic AI
  • LLMOps
  • end-to-end Generative AI solutions