AI Deployment Lead Organization

CONVERGENZ
Addison, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Information Systems Privacy Controls Large Language Models Multi-Agent Systems Prompt Engineering Zapier Information Technology

Job description

This role is ideal for someone who has worked directly with customers or internal teams in high-velocity environments (startups and/or big tech), listens more than they talk, and wants to apply practical AI across an enterprise. You’ll do this while helping teams understand our capabilities and limits within the constraints of our mission and the broader federal environment (privacy, security, safety, and responsible use by default)., * Work directly with program teams to identify high-value workflows, and build working prompt structures, agent chains, and templates that solve real problems

  • Build a reusable library of prompt patterns, agent templates, and playbooks other teams can pick up directly

Drive adoption through training and hands-on delivery:

  • Run onboarding sessions, office hours, and team-specific training tailored to how different groups work
  • Grow a network of power users and champions across program teams Own the feedback loop back to product, engineering, and design:

  • Sit in on real workflows, gather what’s working and what’s broken, and turn it into clear, prioritized input for the team
  • Translate ambiguous requests into specific product requirements

Measure and report on adoption:

  • Track usage, training completion, and workflow adoption across the agency
  • Build a clear view of where adoption is working and where it needs attention, and bring it to leadership regularly

Drive engineering excellence and startup-like execution:

  • Establish and improve training materials, playbooks, and best practices as our capabilities evolve

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5+ years of experience in a customer-facing technical role such as product management or product operations, technical account management, solutions engineering–with an instinct for prioritizing feedback and translating it into requirements.
  • solutions engineering, technical account management, sales engineering, or forward deployed work.
  • Proven experience in high-velocity environments (tech startups and/or large-scale industry roles) where you owned a customer or stakeholder relationship end to end.
  • Hands-on experience building with modern LLM tools, including prompt engineering and agent or workflow construction.
  • Demonstrated ability to train non-technical audiences on technical tools.
  • Excellent active listener with a low ego and collaborative approach, comfortable being the person who listens more than they talk in a room.
  • High agency, with the ability to navigate ambiguity and figure out the next right step without a lot of direction.
  • Genuinely customer-obsessed, with real curiosity about how people actually work, not just what they say they need.
  • Background in product management or product operations, with an instinct for prioritizing feedback and translating it into requirements.
  • A track record of driving adoption of a new tool or process across a busy organization., * Experience with agent frameworks or workflow builders (LangChain, CrewAI, low-code tools like Zapier or Make, or similar).
  • Experience with or strong familiarity with Model Context Protocol (MCP) or similar protocols. Remote

Skills: Artificial Intelligence (AI), Best Practices, Construction, Customer Relations, Establish Priorities, Information Technology & Information Systems, Leadership, MCP - Microsoft Certified Professional, Onboarding, Privacy Controls, Problem Solving Skills, Product Engineering, Product Management, Sales Management, Sales/Support Engineering (SE), Startup, Team Player, Technical Leadership, Technical Operations, Training/Teaching

About the company

It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.

By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008-we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”-we hope that we are able to help our consultants and clients through these times of uncertainty.

When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words-Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business - but do it the right way, in the boardroom and in the community.

Every day is an exercise in self-reflection -we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.

Company Size: 500 to 999 employees

Industry: Staffing/Employment Agencies

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Apply on www.careerbuilder.com
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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

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Dino Lozina ¡ World Congress 2022

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Transitioning from basic prompt engineering to context engineering

Himanshu Vasishth Himanshu Vasishth +3 ¡ World Congress 2025

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Transitioning from API consumers to on-device AI builders

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