{"id":3007462,"url":"https://alion.io/job/verizon-princ-engr-software-devt","title":"Princ Engr-Software Devt","company":{"id":96912,"name":"Verizon","domain":"verizon.com","url":"https://alion.io/company/verizon-about","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9500,"max_usd":22000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"vLLM","optional":false},{"name":"WebSockets","optional":false},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-21T14:16:17Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T10:09:57Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"When you join Verizon\nYou want more out of a career. A place to share your ideas freely - even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.\nWhat you’ll be doing...\nThis role requires a visionary technology leader who will champion the integration of Generative AI technologies into our projects. The ideal candidate will leverage their expertise to drive innovation, enhance product offerings, and create efficient solutions that align with our strategic goals.\n1. AI Architecture, Agentic Systems & MLOps\n Agentic Workflows & Digital Workers: Design and operationalize GenAI-powered agents, LLMs, RAG, and multi-agent frameworks that function as digital workers-automating complex decision-making for CPQ (Configure, Price, Quote), ordering, orchestration, inventory, and service assurance.\nProcess Mapping & Platform Integration: Analyze enterprise workflows to define operational logic, boundary conditions, and guardrails for agents deployed on the AI platform, ensuring high reusability and fast speed-to-value.\n Foundation Model Management: Integrate state-of-the-art foundation models (OpenAI, Anthropic, open-source via Hugging Face/vLLM) while managing model routing, latency budgets, token cost optimization, and semantic caching.\n LLMOps & Governance: Establish MLOps/LLMOps pipelines featuring real-time model monitoring, fine-tuning, safety guardrails, automated CI/CD deployments, and evaluation pipelines (e.g., LangSmith, Phoenix) to guarantee output quality, security, and compliance.\n2. Full Stack & Distributed Systems Architecture\nEnd-to-End Systems Engineering: Oversee the architectural blueprint for web applications, microservices, and event-driven asynchronous pipelines across frontend, backend, and cloud environments.\n High-Performance Frontends: Architect dynamic, real-time user interfaces capable of streaming response handling (Server-Sent Events / WebSockets) and dynamic AI UI components. NodeJS, Angular is a must.\n API & Microservices Design: Build robust, highly concurrent, low-latency APIs (REST, GraphQL, gRPC) and microservice layers powering critical enterprise workflows.\n3. Cloud, Data Engineering & Analytics\n Multi-Cloud & Streaming Strategy: Build and scale data analytics and real-time streaming pipelines across cloud environments (AWS, GCP) to handle high-throughput customer, partner, and employee transactions.\n Data Persistence Models: Architect hybrid data persistence frameworks combining relational databases (PostgreSQL, MySQL), NoSQL platforms (MongoDB, DynamoDB), and high-precision vector databases (Pinecone, Qdrant, Milvus, pgvector).\nIngestion Pipelines: Design data ingestion, chunking, and embedding workflows to transform unstructured organizational knowledge into high-precision search platforms.\n4. Technical Leadership, Execution & Stakeholder Management\nEngineering Standards & Roadmaps: Set technical roadmaps, architectural standards, API contracts, and design patterns across global engineering squads.\nCross-Functional Strategy: Partner closely with Product Management, Partner Solutions, Public Sector, and Technology Transformation teams to translate complex customer RFPs, migrations, and product goals into engineering blueprints.\nDelivery & Global Team Management: Direct software execution across hybrid onshore, offshore, and vendor IT teams using Agile and DevOps methodologies to maximize engineering velocity and throughput.\nValidation & Iterative Review: Lead technical reviews and demos with stakeholders to validate feature alignment against policy and operational constraints, rapidly integrating user feedback into system specs.\nLeading the technology charter for the development, engineering and solutioning using the latest technology stack infusing AI into the product development\n Innovating Championing the adoption of Generative AI technologies across the organization.\n Identifing emerging trends and opportunities in AI and propose innovative solutions.\nConducting workshops and training sessions to educate team members on Generative AI technologies and best practices\n\nPerformance Monitoring and Improvement:Establishing metrics to evaluate the performance and effectiveness of AI solutions.\nContinuously assessing and optimize AI models and algorithms for better accuracy and efficiency.\nEnsuring that AI implementations adhere to ethical standards and regulatory requirements.\nAdvocating for responsible AI practices within the organization.\nDeveloping highly-available applications and service stacks in production environments.\nProviding architectural oversight for systems and services\nPromoting, implementing, and educating about Agile software development\nStaying updated with industry trends, emerging technologies, and best practices to drive continuous improvement\nCollaborating with cross-functional teams to ensure alignment of development efforts with business objectives\nBringing in new ideas towards unlocking the unarticulated needs of our customers in the Digital channels infusing AI\nDelivering on the AGILE KPI’s and driving incremental improvements on Quality, Supply Demand Capacity, on time completion of milestones and positive business outcomes\n\nWhat we’re looking for...\nYou have the ability to define a vision and your ambitious attitude drives you to generate highly innovative ideas and take calculated risks. You develop positive relationships and innovative solutions, which makes you a productive collaborator. Customers appreciate that you take personal responsibility for their satisfaction, and team members know they can count on your commitment.\nYou’ll need to have:\nBachelor’s degree or four or more years of work experience.\nSix or more years of relevant work experience.\nProven experience as an AI architect or similar role, with a focus on Generative AI\nTechnical Skills\nProficiency in programming languages (Python, Java, etc.).\nExperience with cloud platforms (AWS, Azure, Google Cloud) and AI services.\nSoftware development experience in a diverse set of areas including scalable web applications\nExperience in Java/J2EE application development including experience leading a technical team in such web technologies.\nExperience in a DevOps software development environment.\nExperience migrating web applications to Cloud (AWS, Oracle Cloud or Cloud Foundry etc.)\nKnowledge and experience of Docker/Container technologies\nExceptional communication and collaboration skills.\nStrong problem-solving abilities and a proactive mindset.\nAbility to lead and inspire teams in a fast-paced environment.\nStrong background in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch)\nEven better if you have one or more of the following:\nA degree in computer science or computer engineering.\nEvaluate and choose appropriate technologies, design patterns, and algorithms for the development of robust and scalable software solutions\nInnovation mindset\nStrong problem solving and analytical skills ability to assimilate data from varied sources, apply deductive reasoning and scientific method, make inferences, draw testable conclusions, and resolve problems.\nExperience in virtualization and cloud platforms.\nExperience in building large scale systems-management, network monitoring systems, and monitoring applications.\nAbility to handle teams from multiple locations and working in an onshore/offshore model.\nModify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces and improve performance.\nDevelop or direct software system testing or validation procedures.\nIf Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.\nWhere you’ll be working\nIn this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.Scheduled Weekly Hours\n40Equal Employment Opportunity\nVerizon is an equal opportunity employer. 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