{"id":174766,"url":"https://alion.io/job/visa-software-engineer-sr-consultant-fullstack-genai-enablement","title":"Software Engineer, Sr. Consultant - Fullstack GenAI Enablement","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":134,"ghost_share":0,"stale_share":0.597,"repost_share":0.015,"time_to_fill_p50_days":32,"computed_at":"2026-10-28T05:59:10Z"}},"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":["Ashburn, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152200,"max":243700,"currency":"USD","period":"year","gross":null,"usd_annual":243700},"salary_estimate":null,"experience_years_min":11,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"Haystack","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Agile","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Databricks","optional":true},{"name":"FAISS","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenSearch","optional":true},{"name":"Pinecone","optional":true},{"name":"ServiceNow","optional":true},{"name":"Spark","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-05-13T00:00:00Z","employer_posted_date":"2026-05-13","last_verified_at":"2026-10-28T09:23:56Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":168},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nVisa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.\nThe Opportunity:\nWe are seeking a seasoned Fullstack Software Engineer with experience building GenAI-enabled applications. We're looking for someone who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI-powered applications. You will mentor an engineering team while delivering scalable AI systems that integrate with Visa’s product ecosystem, developer platforms, and internal operational tools.\nThis role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks. As a Visa Lead Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.\nThe Work itself:\nGlobal Operations holds the responsibility of ensuring Visa’s diverse portfolio of commercial services are performing optimally, meeting stringent availability targets and exceeding our clients’ expectations. \nBy architecting automation and GenAI into our operational DNA, and deeply embedding AIOps into our strategic foundation, Global Operations, the engine room of production operations, is well positioned to think big, act quickly and innovate with intention. \nWorking with highly integrated, high-throughput systems, an equally high importance must be placed on robust observability, intelligent event detection and incident management. \nGlobal Operations sets the operational standards to support the business demands of today and the operational needs of tomorrow as technologies continue to evolve and adjust the way we work to support the business. \nThrough blame free post mortems, intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides the support and mentorship for our team members to learn and grow. \nThe Skills You Bring\n GenAI Architecture & Framework Development\nArchitect and deliver GenAI-enabled applications leveraging:\nLangGraph, LangChain, Haystack, or similar agent frameworks\nAWS GenAI services (Bedrock, SageMaker, “Strands”-style agent pipelines, embeddings, vector stores)\nRAG architectures, custom LLM orchestration, model evaluation, LLMOps workflows\nBuild reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams. Define best practices for:\nPrompt engineering and evaluation\nLLM safety, guardrails, and content filtering\nEmbedding generation and vector database integrations\nModel lifecycle governance and deployment optimization\nFull-Stack Engineering (Hands-on Development)\nDevelop end-to-end AI applications using:\nBackend: Python, FastAPI, Flask, Node.js\nFrontend: React + TypeScript, UI component frameworks, REST/GraphQL integration\nBuild secure APIs, microservices, event-driven components, and backend integrations for AI systems.\nDesign intuitive, responsive, production-grade user interfaces for GenAI-powered tools.\nData Pipelines & CI/CD Engineering\nDesign and build data workflows supporting AI systems, including:\nETL/ELT pipelines\nData preparation for LLM training/fine-tuning\nEmbedding pipelines and retrieval data stores\nImplement CI/CD automation leveraging:\nJenkins, GitHub/Bitbucket, Jira, Wiki, GitHub Actions, CodePipeline, Artifactory or similar systems\nAutomated testing, containerization, deployment, quality gates\nInfrastructure-as-code (CloudFormation, Terraform)\nEnsure automated monitoring, logging, observability, and rollback strategies.\nGovernance, Security & Responsible AI\nApply Visa’s standards for:\nModel explainability\nData governance and redaction\nSecurity boundaries, access control, encryption\nResponsible AI guidelines and compliance expectations\nWork with cybersecurity teams to ensure secure production deployments.\nThis is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager.\n\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.Qualifications\nBasic Qualifications\n8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications\n9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD\nBachelor’s or Master’s in Computer Science, Engineering, AI/ML, or related field.\n8+ years of software engineering experience; 2+ years leading or mentoring engineers.\nWorked with Agile SDLC process and SAFE agile environment in distributed teams Hands-on experience with:\nLLM frameworks (LangGraph, LangChain, Haystack, AWS Bedrock GenAI tools)\nPython backend development (FastAPI strongly preferred)\nFrontend development (React + TypeScript)\nVector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.)\nAgile Frameworks like SAFE, GitHub / Bitbucket, Jira, ServiceNow, Wiki, CI/CD automation pipelines involving Jenkins\nProven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, SageMaker).\nStrong understanding of distributed systems, microservices, and API design.\nExperience implementing RAG at scale using internal or cloud-based vector stores.\nExperience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools.\nFamiliarity with event-driven messaging systems (Kafka, Kinesis).\nBackground in payments, risk, fraud analytics, or regulated financial systems.\nExperience creating developer tooling or reusable frameworks for broader engineering teams.\nSoft Skills\nExcellent communication, ability to simplify complex AI concepts.\nLeadership presence with hands-on technical credibility.\nAbility to collaborate in a matrixed global organization.\nPassion for innovation and continuous exploration of emerging GenAI capabilities.\nWe do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa\nU.S. Applicants Only\nThe estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.Work Hours\nVaries upon the needs of the department.\nTravel Requirements\nThis position requires travel 5-10% of the time.\nMental/Physical Requirements\nThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. 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