5 days ago
Chennai, India or Hyderābād, IndiaSenior
Responsibilities
- Design scalable enterprise architectures for AI/ML systems, generative AI models, RAG solutions, and autonomous multi-agent frameworks.
- Define standards for Model Context Protocol, prompt engineering, LLM fine-tuning, evaluation, and AI solution development.
- Integrate LLM APIs into enterprise workflows and develop, train, and validate statistical models, optimization algorithms, and machine learning pipelines.
- Implement MLOps, AI observability, and tracing tools to monitor model drift, token efficiency, latency, and production performance.
- Advise cross-functional leaders, product managers, and external clients while translating business problems into mathematical and computational models.
- Communicate technical concepts, model outputs, and risk assessments to technical and executive audiences.
- Champion AI safety, ethical AI, data governance, and secure coding practices, and mentor junior AI engineers and data scientists.
Requirements
- Bachelor's, master's, or Ph.D. in computer science, data science, artificial intelligence, applied mathematics, or a related quantitative field.
- At least 6 years of relevant experience in software engineering, data science, or AI consulting.
- Proven experience shipping AI models into production environments.
- Fluency in Python, SQL, and deep learning frameworks such as PyTorch and TensorFlow.
- Hands-on experience with LangChain, LlamaIndex, LangGraph, vector databases, agentic workflows, and LLM APIs.
- Experience with AWS Bedrock, SageMaker, GCP Vertex AI, Azure OpenAI, or Azure AI Foundry.
- Experience with Docker, Kubernetes, MLflow, model deployment, and API integration using gRPC.
- Strong analytical, problem-solving, written communication, verbal communication, autonomy, and project management abilities.
- Preferred qualifications include Model Context Protocol and multi-agent orchestration experience, industry expertise in supply chain, finance, telecommunications, or operations research, and contributions to open-source libraries, technical publications, or patents.
Benefits
- Hybrid work arrangement with work-from-home flexibility and assigned office days determined by the manager.
- Scheduled workweek of 40 hours.
Tech Stack
Categories
About Verizon
Verizon builds and operates wireless networks, broadband (Fios), and enterprise connectivity, security, and IoT solutions for consumers, businesses, and public-sector customers. Its revenue comes from subscription mobile services, internet and TV access, and managed network and cloud security offerings. Founded in 2000 via the Bell Atlantic–GTE merger, the public company (NYSE: VZ) is headquartered in Basking Ridge, New Jersey, and is one of the largest mobile carriers in the United States.