Software Engineer (1-2 years of exp as Agentic AI Developer, Python)

Overview

Design, build, test, and maintain agentic automation solutions for End User Workstation Support. Translate operational challenges into secure, reliable workflows, integrations, reusable automation components, and human-in-the-loop solutions that reduce manual effort, improve incident resolution, and prevent recurring issues.

What you'll do

• Design, build, and maintain agentic workflows for incident reduction, automated triage, knowledge retrieval, service health analysis, and repeatable remediation.
• Create workflows with human approval gates, decision points, auditability, and escalation paths.
• Develop reusable prompts, scripts, workflow templates, APIs, connectors, and automation modules.
• Build solutions that preserve operational context, decisions, outputs, and lessons learned.
• Create maintainable and secure code for automation services, workflow components, scripts, and integrations.
• Build integrations with approved enterprise platforms, support tools, telemetry sources, knowledge repositories, workflow systems, and GenAI/agentic platforms.
• Convert repetitive manual tasks into reliable automation patterns.
• Contribute to automated validation, deployment readiness, and controlled release practices.
• Develop solutions that identify patterns, risks, and recurring issues before widespread incidents.
• Build tools and workflows for triage, root cause analysis, known error detection, remediation recommendations, and post-incident learning.
• Use logs, metrics, ticket trends, operational data, and user-experience signals to identify opportunities and measure effectiveness.
• Partner with End User Workstation Support teams to identify gaps, automation opportunities, and process improvements.
• Build automated checks and tests for workflow behavior, integration accuracy, data quality, and expected outcomes.
• Implement quality gates and regression tests for prompts, workflows, scripts, integrations, and automation logic.
• Produce reporting on test coverage, pass/fail results, risk areas, and production readiness.
• Develop dashboards showing automation adoption, effectiveness, reliability impact, time saved, and recurring issue reduction.
• Define success metrics and analyze incidents, service degradation, ticket drivers, and operational bottlenecks.
• Translate technical outcomes into concise business impact statements for CRE, CIT, and leadership stakeholders.
• Collaborate with End User Workstation Support technicians, Client Engineering, Microsoft Backend, Workstation Vulnerability Remediation, QA, Service Desk, Onsite Support, Information Security, Architecture, and Product teams.
• Communicate solution designs, technical concepts, risks, and results to technical and non-technical audiences.
• Maintain documentation, runbooks, design notes, workflow logic, decision records, support guides, and operational handoff materials.
• Promote automation, reusable design, code quality, peer review, testing discipline, and continuous learning.
• Continuously evaluate new tools, technologies, and agentic patterns.
• Deliver production-ready AI agents that meet security, compliance, and operational requirements.
• Increase automation coverage, reduce repetitive ticket handling and manual triage, improve incident and problem analysis, and build scalable components across services and teams.

What you'll need

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience.
• 1 to 2 years of experience in software development, automation engineering, AI/ML Engineering, agentic systems development, platform engineering, endpoint engineering, or related technical roles.
• Demonstrated experience developing maintainable code, scripts, automations, integrations, workflow-based solutions, and agent-based applications.
• Proficiency in one or more programming or scripting languages such as Python, PowerShell, Bash, JavaScript/TypeScript, Java, or similar.
• Experience with APIs, source control, testing, debugging, technical documentation, and core Agentic AI capability.
• Familiarity with Large Language Models, prompt engineering, Retrieval-Augmented Generation, agent frameworks, or AI orchestration concepts.
• Understanding of secure development practices, code review, and production-readiness expectations.
• Strong analytical and problem-solving skills with the ability to convert operational issues into engineered solutions.
• Ability to work independently and collaboratively across global, cross-functional teams.
• Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.

Nice to have

• Experience building GenAI, LLM, RAG, chatbot, Copilot Studio, agentic workflow, or AI-assisted automation solutions.
• Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
• Familiarity with Visa Agentic Toolchain concepts, including persistent sessions, shared context, quality gates, reusable artifacts, human approval points, and telemetry-driven outcomes.
• Experience with ServiceNow, Jira, GitHub, Azure DevOps, Power Platform, Copilot Studio, observability platforms, endpoint telemetry, or enterprise support data.
• Experience with incident management, problem management, root cause analysis, or operational automation.
• Experience building dashboards, reports, or metrics to demonstrate automation effectiveness and business impact.
• Familiarity with Model Context Protocol, tool-calling patterns, function calling, and multi-agent architectures.
• Experience with CI/CD pipelines, automated testing, release validation, or controlled deployment processes.
• Understanding of ITIL practices, enterprise change management, support workflows, and service reliability principles.
• Experience working with vector databases, embeddings, semantic search, and knowledge retrieval systems.
• Ability to identify repeatable support patterns and convert them into scalable automation.
• Curiosity and adaptability in learning emerging AI and automation.

Details

• Location: Bengaluru, India.
• At least 3 days in the office; expectations for these days will be confirmed by the Hiring Manager.
• This is an Individual Contributor I4 / Associate-level position.