{"id":1953478,"url":"https://alion.io/job/visa-software-engineer-1-2-years-of-exp-as-agentic-ai-developer-python","title":"Software Engineer (1-2 years of exp as Agentic AI Developer, Python)","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":150,"ghost_share":0,"stale_share":0.567,"repost_share":0.027,"time_to_fill_p50_days":26,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Service Desk","optional":false},{"name":"TypeScript","optional":false},{"name":"AutoGen","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Copilot Studio","optional":true},{"name":"CrewAI","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"GitHub","optional":true},{"name":"Incident Management","optional":true},{"name":"ITIL","optional":true},{"name":"Jira","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"ServiceNow","optional":true},{"name":"Tool Use","optional":true}],"status":"closed","first_seen_at":"2026-10-06T11:12:36Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-11T05:04:30Z","board_verified":false,"closed_at":"2026-10-11T05:04:30Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"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\nRole Overview\nVisa Corporate IT has embarked on a major transformation journey to become an engineering-first organization where reliability, automation, customer experience, and end-user productivity are central to how we operate. End User Workstation Support is focused on shifting from reactive support to proactive, predictive, and preventative practices that reduce operational toil, improve service reliability, and enable scalable support across Visa’s global workforce.\nThe Agentic Developer, End User Workstation Support, will design, build, test, and maintain agentic automation solutions that improve proactive identification of user issues, reduce manual effort, and accelerate incident resolution across Corporate IT services. This role develops intelligent workflows, reusable automation components, integrations, and human-in-the-loop solutions that help End User Workstation Support teams predict issues, automate response, prevent recurrence, and continuously improve service outcomes.\nThis is an Individual Contributor I4 / Associate-level position for a technically strong developer who can translate operational challenges into well-engineered solutions. The successful candidate will apply software engineering practices, secure development standards, automation, telemetry, workflow orchestration, and GenAI/agentic capabilities to deliver measurable improvements in employee experience.\nVisa’s Agentic Toolchain materials describe agentic work as more than using AI for individual tasks; it includes persistent sessions, shared context, built-in quality gates, human approval points, telemetry, reusable artifacts, and lifecycle integration from product intent through engineering execution, release, and outcomes. This role applies those principles to End User Workstation Support use cases where automation, reliability, and operational accountability are critical.\nKey Focus Areas:\nAgentic Workflow Development:\nAgentic Automation Design: Design, build, and maintain agentic workflows that support End User Workstation Support operational outcomes, including incident reduction, automated triage, knowledge retrieval, service health analysis, and repeatable remediation patterns.\nHuman-in-the-Loop Engineering: Create workflows that combine automation with clear human approval gates, decision points, auditability, and escalation paths where required.\nReusable Agentic Components: Develop reusable prompts, scripts, workflow templates, APIs, connectors, and automation modules that can be applied across multiple End User Workstation Support -supported services.\nPersistent Context and Knowledge Reuse: Build solutions that preserve operational context, decisions, outputs, and lessons learned so teams do not repeatedly start from scratch.\nSoftware Engineering and Automation:\nCode Development: Create extensible, maintainable, and secure code for automation services, workflow components, scripts, and integrations.\nAPI and Systems Integration: Build integrations with approved enterprise platforms, support tools, telemetry sources, knowledge repositories, workflow systems, and GenAI/agentic platforms.\nAutomation of Operational Toil: Identify repetitive manual tasks across End User Workstation Support and convert them into reliable automation patterns that improve speed, consistency, and scalability.\nCI/CD and Release Practices: Contribute to automated validation, deployment readiness, and controlled release practices for agentic workflows and automation solutions.\nOperational Excellence:\nPredictive and Preventative Engineering: Develop solutions that help identify patterns, risks, and recurring issues before they become widespread incidents.\nIncident and Problem Management Enablement: Build tools and workflows that improve triage, root cause analysis, known error detection, remediation recommendations, and post-incident learning.\nService Health and Telemetry: Use operational data, logs, metrics, ticket trends, and user-experience signals to inform automation opportunities and measure effectiveness.\nContinuous Improvement: Partner with End User Workstation Support teams to identify gaps, automation opportunities, and process improvements that reduce incidents, escalations, and manual support effort.\nTesting, Quality Gates, and Controls:\nAutomated Validation: Build automated checks and tests that validate workflow behavior, integration accuracy, data quality, and expected outcomes before release.\nQuality Gates: Implement quality gates that prevent incomplete, unsafe, or low-confidence automation from progressing without review.\nRegression Testing: Create repeatable tests to ensure updates to prompts, workflows, scripts, integrations, and automation logic do not break existing capabilities.\nRelease Readiness Metrics: Produce clear reporting that demonstrates test coverage, pass/fail results, risk areas, and readiness for production use.\nReporting, Analytics, and Business Impact:\nAutomation Dashboards: Partner with analytics and operations teams to develop dashboards that show automation adoption, effectiveness, reliability impact, time saved, and recurring issue reduction.\nOutcome Measurement: Define success metrics for each agentic solution, including reliability improvement, reduced manual effort, improved response time, improved knowledge reuse, or reduced recurrence.\nTrend Analysis: Analyze recurring incidents, service degradation patterns, ticket drivers, and operational bottlenecks to identify high-value automation candidates.\nExecutive-Ready Communication: Translate technical outcomes into concise business impact statements for CRE, CIT, and leadership stakeholders.\nCollaboration and Process Improvement:\nCross-Functional Collaboration: Work closely with End User Workstation Support technicians, Client Engineering, Microsoft Backend, Workstation Vulnerability Remediation, QA, Service Desk, Onsite Support, Information Security, Architecture, and Product teams to deliver automation aligned to operational needs.\nStakeholder Communication: Communicate technical concepts, solution design, risks, and results clearly to both technical and non-technical audiences.\nDocumentation and Knowledge Sharing: Maintain documentation, runbooks, design notes, workflow logic, decision records, and support guides for all agentic solutions.\nEngineering Culture: Promote engineering-first practices within End User Workstation Support by encouraging automation, reusable design, code quality, peer review, testing discipline, and continuous learning.\nResponsibilities:\nDesign, develop, test, and maintain agentic workflows and automation solutions for End User Workstation Support.\nTranslate End User Workstation Support operational pain points into technical requirements, workflow designs, implementation plans, and measurable outcomes.\nBuild maintainable code, scripts, APIs, connectors, and reusable automation components.\nIntegrate automation solutions with approved enterprise systems, telemetry sources, knowledge repositories, and operational workflows.\nApply secure development practices, coding standards, code reviews, testing, and documentation.\nDevelop automated tests, validation logic, quality gates, and release readiness reporting for agentic workflows.\nAnalyze incident, ticket, telemetry, and service-health data to identify automation and reliability improvement opportunities.\nPartner with End User Workstation Support and cross-functional teams to reduce manual toil, improve reliability, and prevent recurring issues.\nDocument workflows, support models, runbooks, and operational handoff materials.\nContinuously evaluate new tools, technologies, and agentic patterns that can improve End User Workstation Support effectiveness.\nSuccess Measures:\nDeliver reliable agentic workflows and automation solutions that reduce manual effort and improve End User Workstation Support operational outcomes.\nSuccessfully design, develop, and deploy production-ready AI agents that automate business workflows while meeting security, compliance, and operational requirements.\nIncrease automation coverage across recurring End User Workstation Support scenarios.\nReduce repetitive ticket handling, manual triage, and repeated troubleshooting effort.\nImprove speed, consistency, and quality of incident/problem analysis.\nBuild reusable automation components that can scale across multiple services and teams.\nProduce clear documentation, test evidence, quality metrics, and business impact reporting.\nDemonstrate responsible use of GenAI and agentic automation through human approval points, quality gates, auditability, and secure engineering practices.\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\nBachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.\n1 to 2 years of experience in software development, automation engineering, AI/ML Engineering, agentic systems development, platform engineering, endpoint engineering, or related technical roles.\nDemonstrated experience developing maintainable code, scripts, automations, integrations, or workflow-based solutions and agent-based applications.\nProficiency in one or more programming or scripting languages such as Python, PowerShell, Bash, JavaScript/TypeScript, Java, or similar, with preference for experience building AI, LLM, API, and agent orchestration solutions.\nExperience with APIs, source control, testing, debugging, and technical documentation, and core Agentic AI capability.\n Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), agent frameworks, or AI orchestration concepts.\nUnderstanding of secure development practices, code review, and production-readiness expectations.\nStrong analytical and problem-solving skills with the ability to convert operational issues into engineered solutions.\nAbility to work independently and collaboratively across global, cross-functional teams.\nStrong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.\nPreferred Qualifications:\nExperience building GenAI, LLM, RAG, chatbot, Copilot Studio, agentic workflow, or AI-assisted automation solutions.\nHands-on experience with agent orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.\nFamiliarity with Visa Agentic Toolchain concepts, including persistent sessions, shared context, quality gates, reusable artifacts, human approval points, and telemetry-driven outcomes.\nExperience with ServiceNow, Jira, GitHub, Azure DevOps, Power Platform, Copilot Studio, observability platforms, endpoint telemetry, or enterprise support data.\nExperience with incident management, problem management, root cause analysis, or operational automation.\nExperience building dashboards, reports, or metrics to demonstrate automation effectiveness and business impact.\nFamiliarity with Model Context Protocol (MCP), tool-calling patterns, function calling, and multi-agent architectures.\nExperience with CI/CD pipelines, automated testing, release validation, or controlled deployment processes.\nUnderstanding of ITIL practices, enterprise change management, support workflows, and service reliability principles.\nExperience 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