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Sr. Solutions Architect - ML​/LLM Ops

Job in San Antonio, Bexar County, Texas, 78201, USA
Listing for: World Wide Technology, Inc.
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 187000 USD Yearly USD 125000.00 187000.00 YEAR
Job Description & How to Apply Below
___________________________________________

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technicalexpertiseand world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity,cloudand infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test andvalidateinnovative technology and then deploy solutions at scale using its global integration anddistributioncapabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global serviceproviderand public sector clients in up to 130 countries across six continents.

Softchoice, aWorld Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams?

JoinWWT today!

What is the Internal WWT IT Team, and why join?

The Internal WWT IT team is the backbone of our company’s technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company’s technology infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees.

By joining the Internal WWT IT team, you will play a crucial role inmaintainingthe efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will have a direct impact on the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team.

We are looking for a senior, technically minded architect and problem solver who can define how AI, machine learning, and large language model capabilities are designed, deployed, operated, and improved in production.

This role will support the Lead to Quote and Win to Deliver platforms and its AI-enabled solutioning capabilities, including agentic workflows, LLM-backed services, retrieval-augmented generation, model integrations, and the operational practices required to run them reliably. The role blends architecture, hands-on technical leadership, operational readiness, and strong collaboration with engineering, product, data, security, infrastructure, and IT support teams.

You will establish practical architecture standards for ML/LLM Ops while staying close to the technology. You will balance your time between hands-on development, building reference implementations, reviewing code and prompts, and prototyping evaluation and observability patterns. You will help teams make sound decisions about model and agent lifecycle, prompt and configuration management, observability, evaluation, safety, cost, security, release management, incident response, and support ownership.

This role is distinct from a traditional application architect and from a standard infrastructure operations role. You will help define the technical and functional boundary between AI feature delivery and AI/ML operations, ensuring that capabilities can move from development into production…

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