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Verizon

Senior Engineering Consultant – AI Science

Verizon

Senior Engineering Consultant designing, developing and optimizing AI solutions. Collaborating with global teams at Verizon to drive AI solutioning of business problems.

Posted 7/16/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing AI solutions, with a strong focus on cognitive analytics, large-scale distributed systems, and advanced prompt engineering. Proficient in communicating complex AI concepts to non-technical stakeholders while driving measurable business outcomes.

Highest-signal resume keywords
Cognitive AnalyticsAI ModelingLarge-Scale Distributed SystemsAdvanced Prompt EngineeringGPU/CPU Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Algorithm DevelopmentModel ServingPerformance AnalysisDebuggingC/C++ ProgrammingPython ProgrammingJava ProgrammingTensorFlowPyTorchOrchestration
Soft Skills
CollaborationCommunication
Industry Keywords
Generative AIDeep LearningPerformance TuningLatencyThroughput Bottlenecks

Tech Stack

Tools & technologies
Distributed SystemsJavaPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design, develop and optimize AI, SLM/LLM, and Agentic solutions to resolve diverse real-world problems.
  • Implement new algorithms and define APIs.
  • Analyze functionality coverage to build larger, coherent toolsets and libraries.
  • Collaborate with global teams to drive AI solutioning of business problems.

Requirements

What you’ll need
  • Four or more years of experience in cognitive analytics and AI Modeling.
  • Must have experience working in a collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms.
  • Must have hands-on experience in large-scale distributed systems capable of performing end-to-end AI training and SLM & LLM modeling including orchestration, fine-tuning, model serving in production environment (batch/real-time).
  • Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals.
  • Must be able to communicate complex model designs and outcomes in business terms to a non-technical audience.
  • Must have knowledge of GPU/CPU architecture and distributed computing.
  • Must have working knowledge in advanced prompt engineering and optimizations techniques.
  • Must have exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning.
  • Must have experience in Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields.
  • Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models.
  • Must have proficiency in programming languages such as C/C++, Python, Java, debugging, performance analysis and relevant AI libraries/frameworks (TensorFlow, PyTorch, etc).

Benefits

Comp & perks
  • Competitive salary
  • Flexible work arrangements
  • Professional development opportunities