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AI Search Engineer

Job in San Antonio, Bexar County, Texas, 78253, USA
Listing for: United Software Group
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), IT Consultant, IT Business Analyst
Job Description & How to Apply Below

AI Search Engineer

Remote TEXAS USA

This is a remote engagement Artificial Intelligence Solutions Consultant – Go-to Market Lead

Team:
Enterprise AI Platform / Digital Technology and Innovation

About This Role

Are you passionate about accelerating AI adoption, enabling engineering teams, and shaping how enterprise users build with emerging AI capabilities?

We are seeking a highly technical and business-savvy Artificial Intelligence Solutions Consultant who blends go-to-market strategy, forward-deployed engineering, and AI enablement. In this role, you will serve as the connective tissue between product, engineering, line-of-business stakeholders, and end users—helping teams adopt AI capabilities, integrate agentic workflows, and scale enablement into repeatable, self-service models.

Ideal candidates bring strong engineering fundamentals, deep customer empathy, and a teacher’s mindset—someone who enjoys building solutions, enabling others, and turning individual learnings into scalable programs and product improvements.

You’ll thrive here if you’re hands-on, fast-moving, and energized by dynamic environments where you both build and teach, deliver and scale.

Key Responsibilities

  • Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams.
  • Architect and execute go-to-market strategies spanning onboarding, training, documentation, and support.
  • Own the rollout and adoption of new platform features and capabilities across stakeholder groups.
  • Track KPIs such as adoption, reliability, latency, and business impact to guide continuous improvement.
  • Translate platform updates into clear, actionable guidance for both technical and non-technical audiences.
  • Lead interactive enablement programs—including live workshops, pair-programming sessions, office hours, and hands-on technical engagements.
  • Help teams integrate AI tools and capabilities into day-to-day development practices.
  • Create and maintain enablement materials, SDK resources, best practices, and repeatable playbooks.
  • Scale individual training engagements into enterprise-wide digital learning content and self-service models.
  • Build a deep understanding of customer pain points and workflows to tailor adoption strategies and reduce time-to-value.
  • Establish tight feedback loops between end-users, product, and engineering teams—capturing insights that meaningfully inform roadmap decisions.
  • Translate customer needs into product direction: define requirements, scope solutions, and influence implementation.
  • Advocate for usability improvements and enhancements grounded in field observations and customer experience.
  • Validate fixes, test new features, and conduct quality checks to proactively surface gaps in stability or performance.
  • Maintain empathy for how developers work and champion features that improve the end-user experience.
  • Build strong relationships with business stakeholders, end users, and product teams; serve as a trusted technical advisor.
  • Communicate complex technical concepts clearly and with nuance across diverse audiences.
  • Produce executive-ready updates, metrics, narratives, and adoption insights.
  • Ensure alignment with model governance, responsible AI practices, data protection, and platform security controls.
  • Contribute to documentation and artifacts for validation, testing, approvals, and audit readiness.
  • Partner with risk, compliance, and security teams to ensure safe and compliant delivery of AI capabilities.

Required Qualifications

  • Bachelor’s degree in a STEM field or equivalent hands-on experience.
  • 4+ years of experience in all of the following:
    Artificial intelligence solutions, AI consulting, product/solution management, program delivery, or technical product ownership for AI/ML platforms—or equivalent experience delivering AI/ML outcomes at scale.
  • Strong coding proficiency (Python, JavaScript/Type Script, or similar)
  • Proven ability to communicate complex technical topics to diverse audiences. Strong customer-service orientation and comfort facilitating interactive sessions and workshops.
  • Demonstrated ability to learn and adapt quickly in ambiguous, fast-changing environments.
  • Strong technical acumen with the…
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