📋 Job Details at a Glance 📍 Location Chennai, Hyderabad, India 🏢 Company Verizon 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, SQL, Docker, Kubernetes, AWS, GCP, Azure, APIs, CI/CD, Spark, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Docker Kubernetes AWS GCP Azure APIs Engr III Spec-AI Science at Verizon — Full Details & How to Apply Verizon is seeking an Engr III Spec-AI Science in Chennai, Hyderabad, India to design and deploy multi-agent systems using Python and TensorFlow . This role is part of Verizon ’s technology initiatives focused on AI and machine learning solutions, with candidates expected to build LLM-based applications that perform complex tasks and maintain compliance. This Engr III Spec-AI Science role directly supports the development of advanced AI systems that enhance customer interactions and streamline internal operations. The position requires hands-on implementation of AI/LLM agents using technologies such as Python , SQL , Docker , Kubernetes , and cloud platforms including AWS , GCP , and Azure . These tools are used to build scalable, secure, and deployable AI applications that integrate with existing systems via APIs and CI/CD pipelines. The job posting confirms that this role is part of Verizon ’s technology team, emphasizing technical depth in AI and engineering. The position is based in Chennai, Hyderabad, India and operates under a hybrid work model. Candidates will work with real-world AI applications and infrastructure, leveraging cloud environments and containerization tools to deliver production-grade systems. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must have 5+ years. Hands-on with Python, SQL, Docker, Kubernetes, AWS, GCP, Azure, APIs, CI-CD, Spark, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background and 5+ years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Docker , Kubernetes , AWS , GCP , Azure , APIs , CI-CD , Spark , TensorFlow , and PyTorch . This role provides a pathway to specialize in AI agent systems and contributes to real-world AI deployment in enterprise environments, with potential progression into senior AI engineering or AI operations roles. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Engr III Spec-AI Science jobs , explore Verizon recruitment in Chennai, Hyderabad, India jobs , and find more tech roles through our platform. Job Role & Responsibilities The Engr III Spec-AI Science role at Verizon focuses on designing and deploying autonomous AI systems using LangChain and LlamaIndex , ensuring production-grade reliability through real-time performance monitoring and compliance evaluation in live customer-facing environments. Design multi-agent systems using LangChain and LlamaIndex , defining agent interactions and task decomposition for autonomous workflow execution . Build LLM-based applications with Python and TensorFlow that perform complex reasoning, such as data analysis and decision path generation. Develop guardrails and evaluation frameworks using SQL and Python to validate AI outputs against predefined data quality and safety metrics. Implement real-time monitoring pipelines using Python and APIs to track application performance, error rates, and response latency. Maintain production AI codebases using Docker and Kubernetes to ensure consistent deployment and rollback across environments. Deploy scalable AI applications on AWS , GCP , or Azure with CI/CD pipelines, ensuring high availability and fault tolerance . Document AI development processes, including model training pipelines, deployment steps, and performance evaluation results using Python scripts and SQL queries. Troubleshoot AI application failures using Python logs and API error responses to identify root causes and improve customer interaction reliability . This role demands full ownership of AI system lifecycle decisions, from design to deployment , with direct impact on system performance and customer experience metrics in live operations. Required Skills & Technical Competencies The Engr III Spec-AI Science role requires a strong technical foundation in Python , SQL , Docker , Kubernetes , and cloud platforms including AWS , GCP , and Azure , with specific application in AI system development and deployment. Technical Skills Python — advanced — used for building LLM agents, executing complex reasoning tasks, and automating data processing pipelines in TensorFlow and LangChain . SQL — intermediate — used to query training datasets, evaluate model performance, and extract metrics for AI system validation . Docker — advanced — used to containerize AI applications, ensuring consistent behavior across development, testing, and production environments. Kubernetes — intermediate — used to orchestrate AI workloads, manage scaling, and enable fault recovery in cloud-based deployments . AWS — intermediate — used for hosting and managing AI services, including EC2 instances and S3 data storage for model training. GCP — intermediate — used for deploying AI applications with Vertex AI and managing large-scale data pipelines. Azure — intermediate — used for running AI workloads on Azure Machine Learning and integrating with enterprise data systems. APIs — advanced — used to connect AI systems with backend services, enabling real-time data exchange and customer interaction endpoints. When preparing your resume, emphasize specific projects where you used Python and SQL to build AI workflows, and highlight deployment with Docker and Kubernetes on AWS or GCP . Eligibility Criteria This role is designed for candidates with a technical engineering background and 5+ years of hands-on experience in AI or software development, specifically working with Python , SQL , and cloud platforms . Must hold a degree in Computer Science, Electrical Engineering, or a related technical field with a minimum CGPA of 3.0 or equivalent. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 5 years of professional experience in software engineering or AI development, including hands-on work with Python and Docker . Must have demonstrated experience in building and deploying AI applications using LangChain or TensorFlow in real-world projects. Must have a GitHub portfolio showcasing code for AI systems, including multi-agent workflows or LLM-based applications . Must have worked with cloud platforms such as AWS or GCP in a production environment to deploy AI services. Documentation & Portfolio Requirements Your resume must include a clear technical summary with specific project details involving Python , SQL , and cloud deployment , and a GitHub link to code demonstrating AI agent workflows or LLM execution pipelines . Focus on projects where you used Python and SQL to build AI applications, deployed via Docker and Kubernetes on AWS or GCP . Include metrics like response time , error rate , and data throughput to show measurable impact. Salary for Engr III Spec-AI Science at Verizon 💰 Compensation Not Disclosed The advertised compensation for the Engr III Spec-AI Science role at Verizon is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Engr III Spec-AI Science Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Python — Essential for developing AI applications and data manipulation. SQL — Crucial for database management and data retrieval tasks. Docker — Important for containerization and deployment of applications. Kubernetes — Key for orchestration of containerized applications in cloud environments. KodNest — Provides hands-on experience with AI and machine learning projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating the required 5+ years of experience — clearly state relevant roles and responsibilities. ❌ Using a generic resume — tailor it to the specific responsibilities and skills outlined in the job description. ❌ Listing technologies without context — provide details on how AWS or Docker were applied in previous roles. ❌ Ignoring the explicit experience requirement — ensure it is clearly highlighted in your application. ❌ Adding unrelated technologies — stick to supported claims to maintain resume effectiveness. ❌ Not verifying the official Apply URL — always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Engr III Spec-AI Science Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Python SQL Docker Kubernetes AWS GCP Azure APIs TensorFlow PyTorch CI/CD AI Resume Tips for This Role Highlight the 5+ years of experience requirement prominently on your resume. Emphasize hands-on experience with Python , TensorFlow, and Docker as these are crucial for the role. Showcase projects involving multi-agent systems or AI applications using the listed technologies. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. How to Apply for Engr III Spec-AI Science at Verizon Apply Now — Verizon Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Verizon NexisGrow.com does not charge any fees for job applications. Verizon Verizon is a technology company operating in Chennai and Hyderabad, India . The Engr III Spec-AI Science role is part of a hybrid work environment within the technology industry, focusing on AI and machine learning solutions. The team develops agentic AI and LLM-based applications, including multi-agent systems and autonomous workflows. Responsibilities involve designing, building, and deploying systems using frameworks like LangChain and CrewAI, with emphasis on reasoning, tool use, and secure, compliant interactions. This role supports Verizon ’s AI innovation by enabling the development of intelligent, dynamic solutions for customer interactions and internal automation through hands-on AI and machine learning engineering. Early-career professionals gain exposure to production-grade AI development using Python , TensorFlow , PyTorch , and LLM agents , with practical experience in APIs , Docker , Kubernetes , and cloud platforms like AWS , GCP , and Azure . Company Details Industry Technology Location Chennai, Hyderabad, India Connect With Us Careers Apply Now Website 🔗 verizon.wd12.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 5+ years of experience from the eligible batches of 2023 to 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, SQL, Docker, Kubernetes, AWS, GCP, Azure, TensorFlow, and PyTorch. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review the job description thoroughly. 2. Brush up on Python and TensorFlow. 3. Prepare examples of past projects. 4. Familiarize yourself with multi-agent systems. 5. Practice problem-solving scenarios relevant to AI. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is hybrid, based in Chennai or Hyderabad, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role provides exposure to advanced AI technologies and responsibilities in developing multi-agent systems. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, Docker, and TensorFlow, along with relevant project experience and the 5+ years of experience requirement. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineering teams and stakeholders, as indicated in the responsibilities. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, freshers are not suitable as the experience requirement is set at 5+ years. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Verizon Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com