Associate Systems Engineer – Linux & AI Automation

Visa•Ashburn, VA

8h•Hybrid

About The Position

Visa 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. At 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. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. We operate mission‑critical systems that enable Visa’s clients and processors worldwide. As an Associate Systems Engineer, you’ll join a global team that plans, implements, and supports secure, resilient endpoints and platforms—partnering closely with vendors and global support groups to deliver nimble, client‑centric solutions.

Requirements

Bachelors degree, OR 3+ years of relevant work experience
Linux experience/shell scripting

Nice To Haves

2 or more years of work experience
1 - 2 year of experience in development and programing in Python and Java is a plus.
Hands‑on experience with ServiceNow (Change/Incident/CMDB); Red Hat certification (e.g., RHCSA, RHCE) or equivalent Linux certification.
Experience & proficiency in writing shell & python scripts and automations for infrastructure installs.
Experience with large language models and GenAI, including prompt engineering, retrieval-augmented generation, and evaluation of LLM-based applications
Hands-on work with agentic/LLM orchestration frameworks (e.g., LangChain, semantic routers, or similar) and tool-calling ecosystems (such as MCP-style connectors or function-calling schemas
Familiarity with Visa deployment/security standards and audit/compliance processes.
Vendor coordination and remote‑install support across global time zones.

Responsibilities

Provide project management, technical advice, and hands‑on support to client institutions and processors—consistently exceeding customer expectations.
Coordinate projects end‑to-end with proper documentation keep tasks and status up to date.
Create implementation scripts (Shell, python & more) for vendor field engineers and support teams to enable installation and activation.
Perform remote installations of Linux systems in partnership with on‑site vendor engineers.
Work proactively with Global Support, clients, and vendors to deliver flexible solutions and resolve system problems quickly.
Manage customer satisfaction, commitment, and expectations to high service levels handle escalations appropriately.
Ensure deployments follow Visa security guidelines report and remediate any non‑compliance.
Communicate and collaborate cordially within a global team across cultures and time zones.
Work with stakeholders to translate business problems into AI use cases, define requirements, and design solution architectures.
Collect, clean, and prepare data build and train models (traditional ML and deep learning/LLMs) evaluate performance and iterate.
Design, build, and maintain agentic workflows where LLM agents can plan, call tools, and coordinate multi-step tasks (e.g., retrieval, calling APIs, writing to databases).
Deploy models as APIs or services, integrate with existing applications, implement and tune orchestration around tools and plugins (MCP‑style connectors, function-calling schemas, vector DBs), including prompt design, safety/guardrails, and evaluation of agent behavior.
Ability to isolate and resolve critical system issues to minimize impact and downtime strong analytical judgment under minimal supervision.
Participate in an on‑call rotation to support multiple systems during off-hours work evenings/weekends as needed.
Provide weekly reporting for CMDB and BASE II records act as Change & ServiceNow Coordinator to ensure incidents/changes comply with ITIL and ServiceNow rules.
Act as Inventory Record Coordinator to ensure accurate and timely inventory updates.
Partner with leaders to drive continuous improvement, team efficiency, and technical upskilling.