Princ Engr-technology Strategy

Verizon Verizon · Telecom · Chennai, India +1

Principal Engineer role focused on technology strategy and planning for Enterprise Architecture, specifically in the Generative AI space. The role involves managing programs, developing technology roadmaps, engaging with stakeholders, and designing/developing end-to-end Generative AI solutions, including agentic systems, RAG, and LLMOps. Requires strong understanding of AI/ML concepts, frameworks, and operationalization.

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 (Agentic and non-Agentic)
  • LangGraph
  • AutoGen
  • LangSmith
  • Data preprocessing
  • Prompt management
  • Caching
  • Validation
  • Advanced RAG
  • RLHF
  • Success measurement
  • LLMOps
  • Data pipelines
  • End-to-end Generative AI solution design
  • Automation and AI technologies
  • Scalable prototypes of LLM and NLP Modules and systems
  • State-of-the-art LLM techniques
  • Unstructured data analysis
  • Research skills
  • Process opportunity identification
  • Feasibility assessment
  • Written and verbal communication skills

Nice to have

  • Graph DB Concepts
  • CloudEra
  • Snowflake
  • DataBricks
  • Text processing
  • Vector databases
  • Embedding models
  • LLM and NLP system best practices

What the JD emphasized

  • Minimum 10 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

  • Develop 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