Senior Engineering Consultant – Cloud & AI

Verizon

. The VCP Far Edge Automation team builds and maintains the automation that manages the full lifecycle of Verizon's virtualized RAN (vRAN) infrastructure — powering the nation's largest, most reliable 5G network.

Posted 5/7/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AnsibleDockerJenkinsKafkaKubernetesLinuxPostgresPythonRedisShell Scripting

About the role

Key responsibilities & impact

The VCP Far Edge Automation team builds and maintains the automation that manages the full lifecycle of Verizon's virtualized RAN (vRAN) infrastructure — powering the nation's largest, most reliable 5G network.
Alongside our DevOps engineers, our AI engineers are responsible for building the intelligent layer of our automation platform: Gen AI agents, LLM-powered pipelines, and context-aware tooling that reduces manual effort, accelerates remediation, and makes our automation smarter over time.
As a Senior AI Engineer, you'll design, build, and operationalize production-grade Generative AI agents and applications that integrate directly with our automation workflows and network infrastructure.
You'll work closely with the team to take technical direction and deliver reliable, low-latency AI solutions that the broader team can depend on in production.
Designing, developing, and deploying production-grade Gen AI agents and applications, with a focus on reliability, low latency, and real-world operability.
Building and maintaining LangGraph agents and custom Python orchestration logic to power GenAI pipelines — enabling low-latency inference, context-aware decision-making, and multi-step agentic workflows.
Integrate AI agents with internal data sources, Postgres databases, and REST API endpoints to give agents the context they need to act intelligently.
Designing and optimizing data ingestion and preprocessing pipelines in Python to support LLM inference and grounding workflows (RAG, tool use, structured outputs).
Collaborating with DevOps engineers to ensure AI agents and pipelines are deployable, observable, and maintainable within existing CI/CD and infrastructure frameworks.
Instrument and monitor AI agent performance — tracking latency, reliability, failure rates, and accuracy — and own improvements to those metrics.
Maintaining clear documentation: agent architecture designs, integration specs, prompt strategies, and operational runbooks.
Staying current with the rapidly evolving LLM and agent tooling ecosystem and bring relevant advances back to the team.

Requirements

What you’ll need

Bachelor's degree or four or more years of hands-on work experience.
Six or more years of relevant experience.
Experience with a strong Python focus — clean, production-grade, testable code.
Deep, hands-on experience with the Python ecosystem for AI/ML and data workflows (LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks).
Demonstrated experience building and deploying LLM-powered agents or applications in a production environment.
Strong understanding of LLM concepts: prompt engineering, RAG, tool/function calling, context windows, structured outputs, and agent memory patterns.
Experience integrating AI systems with relational databases (Postgres or equivalent) and REST APIs.
Solid understanding of software engineering fundamentals: version control (Git), code review, testing, and documentation practices.
Ability to work US Central Standard Time (CST) business hours (8:00 AM to 5:00 PM CT), which corresponds to 6:30 PM to 3:30 AM Indian Standard Time.
Even better if you have:
Hands-on experience with AI agent frameworks and developer tools — such as Claude Code, OpenAI Assistants, or similar agentic platforms — including building custom tooling on top of them.
Experience with MLOps practices: model versioning, pipeline monitoring, experiment tracking, and production observability for AI systems.
Familiarity with DevOps tooling — Ansible, Jenkins, GitLab CI — and comfort working alongside infrastructure automation engineers.
Linux server experience and Shell scripting skills for deploying and debugging AI applications in server environments.
Experience with containerization (Docker, Kubernetes) for deploying AI workloads.
Exposure to telecommunications, network operations, or infrastructure automation use cases — experience applying AI to ops problems like anomaly detection, log analysis, or failure prediction.
Familiarity with vector databases (pgvector, Pinecone, Weaviate, or similar) for semantic search and RAG pipelines.
Experience with streaming or event-driven architectures (Kafka, Redis) for real-time AI agent integrations.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Verizon Website LinkedIn All Job Openings 10,000+ employees 📡 Telecommunications 👥 B2C 🏢 Enterprise 🔥 Funding within the last year 💰 $2.3G Post IPO debt on 2025-08 Telecommunications
B2C
Enterprise Verizon is a multinational telecommunications company that provides wireless, broadband, and network services to consumers, businesses, and government customers across the United States and globally. It operates mobile networks, fixed-line and fiber-optic broadband, and offers related products and services through retail locations and digital channels, while emphasizing innovation, community engagement, and employee development. Senior Engineering Consultant – Cloud & AI 🔥 42 minutes ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Ansible Docker Jenkins Kafka Kubernetes Linux Postgres Python Redis Shell Scripting Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
The VCP Far Edge Automation team builds and maintains the automation that manages the full lifecycle of Verizon's virtualized RAN (vRAN) infrastructure — powering the nation's largest, most reliable 5G network.
Alongside our DevOps engineers, our AI engineers are responsible for building the intelligent layer of our automation platform: Gen AI agents, LLM-powered pipelines, and context-aware tooling that reduces manual effort, accelerates remediation, and makes our automation smarter over time.
As a Senior AI Engineer, you'll design, build, and operationalize production-grade Generative AI agents and applications that integrate directly with our automation workflows and network infrastructure.
You'll work closely with the team to take technical direction and deliver reliable, low-latency AI solutions that the broader team can depend on in production.
Designing, developing, and deploying production-grade Gen AI agents and applications, with a focus on reliability, low latency, and real-world operability.
Building and maintaining LangGraph agents and custom Python orchestration logic to power GenAI pipelines — enabling low-latency inference, context-aware decision-making, and multi-step agentic workflows.
Integrate AI agents with internal data sources, Postgres databases, and REST API endpoints to give agents the context they need to act intelligently.
Designing and optimizing data ingestion and preprocessing pipelines in Python to support LLM inference and grounding workflows (RAG, tool use, structured outputs).
Collaborating with DevOps engineers to ensure AI agents and pipelines are deployable, observable, and maintainable within existing CI/CD and infrastructure frameworks.
Instrument and monitor AI agent performance — tracking latency, reliability, failure rates, and accuracy — and own improvements to those metrics.
Maintaining clear documentation: agent architecture designs, integration specs, prompt strategies, and operational runbooks.
Staying current with the rapidly evolving LLM and agent tooling ecosystem and bring relevant advances back to the team. 🎯 Requirements
Bachelor's degree or four or more years of hands-on work experience.
Six or more years of relevant experience.
Experience with a strong Python focus — clean, production-grade, testable code.
Deep, hands-on experience with the Python ecosystem for AI/ML and data workflows (LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks).
Demonstrated experience building and deploying LLM-powered agents or applications in a production environment.
Strong understanding of LLM concepts: prompt engineering, RAG, tool/function calling, context windows, structured outputs, and agent memory patterns.
Experience integrating AI systems with relational databases (Postgres or equivalent) and REST APIs.
Solid understanding of software engineering fundamentals: version control (Git), code review, testing, and documentation practices.
Ability to work US Central Standard Time (CST) business hours (8:00 AM to 5:00 PM CT), which corresponds to 6:30 PM to 3:30 AM Indian Standard Time.
Even better if you have:
Hands-on experience with AI agent frameworks and developer tools — such as Claude Code, OpenAI Assistants, or similar agentic platforms — including building custom tooling on top of them.
Experience with MLOps practices: model versioning, pipeline monitoring, experiment tracking, and production observability for AI systems.
Familiarity with DevOps tooling — Ansible, Jenkins, GitLab CI — and comfort working alongside infrastructure automation engineers.
Linux server experience and Shell scripting skills for deploying and debugging AI applications in server environments.
Experience with containerization (Docker, Kubernetes) for deploying AI workloads.
Exposure to telecommunications, network operations, or infrastructure automation use cases — experience applying AI to ops problems like anomaly detection, log analysis, or failure prediction.
Familiarity with vector databases (pgvector, Pinecone, Weaviate, or similar) for semantic search and RAG pipelines.
Experience with streaming or event-driven architectures (Kafka, Redis) for real-time AI agent integrations. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Full Stack Software Developer 🔥 8 hours ago Syneos Health 10,000+ employees 🧬 Biotechnology 💊 Pharmaceuticals ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior Full Stack Software Developer designing secure web applications at Syneos Health. Leading development using React.js and Python with a focus on scalable solutions. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer JavaScript Node.js Oracle Python React TypeScript Software Development Engineer II 🔥 19 hours ago F5 5001 - 10000 🔒 Cybersecurity ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Software development Engineer II at F5 designing components of Firewall modules and Policy Enforcer. Collaborating with teams to enhance security technology offerings while working in a hybrid environment. 🏢🏡 Hyderabad – Hybrid 💰 Post-IPO Equity on 2020-11 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer DNS Linux Senior Software Development Engineer 🕒 5 days ago F5 5001 - 10000 🔒 Cybersecurity ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Senior Software Engineer delivering high-quality features for next generation NGINX SaaS products at F5. Collaborating with a global team to design, implement, and troubleshoot software solutions. 🏢🏡 Hyderabad – Hybrid 💰 Post-IPO Equity on 2020-11 ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer AWS Azure Cloud Docker GRPC Kubernetes Microservices Python Rust Go Full Stack Developer 🕒 5 days ago MFSG 11 - 50 🔧 Hardware 🤝 B2B 🚗 Transport Website LinkedIn All Job Openings Full Stack Developer designing and deploying applications using .NET 8.0 and cloud technologies at MFSG Technologies. Collaborating with teams to deliver high-performance enterprise solutions in a hybrid environment. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer Angular ASP.NET AWS Cloud EC2 JavaScript Microservices Node.js Postgres React SQL .NET Full Stack Developer 🕒 5 days ago Momentum 51 - 200 💳 Fintech 👥 B2C 💸 Finance Website LinkedIn All Job Openings Full Stack Developer responsible for creating scalable applications using .NET, AWS, and modern frameworks. Join Momentum Financial Services in their mission to transform financial solutions in India. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer Angular ASP.NET AWS Cloud JavaScript Microservices Node.js Postgres React SQL .NET View More Full-stack Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonLangChainLangGraphLlamaIndexLLM conceptsprompt engineeringRAGREST APIMLOpscontainerization

Soft Skills

collaborationdocumentationproblem-solvingcommunicationreliabilityobservabilityperformance trackingtechnical directionadaptabilityattention to detail