Lead Ai Technologist
Listed on 2026-02-28
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IT/Tech
AI Engineer
About Lumen
Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.
We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
The RoleThe Lead AI Technologist supports the delivery of AI/ML solutions within the AGT Automation Lab. This role focuses on designing and implementing AI capabilities for defined processes or business domains, working within established AGT AI strategy, governance standards, and technical architecture. It is a senior individual contributor role with strong technical depth and cross‑functional collaboration but does not own enterprise‑wide AI strategy or transformation.
TheMain Responsibilities
- Design and implement AI/ML models, agents, and automation tools within established AI architecture and governance.
- Translate business requirements into technical solutions for assigned domains.
- Partner with Data Science, IT, Operations, and other stakeholders to integrate AI solutions into existing workflows.
- Analyze defined processes to identify targeted AI‑driven efficiency improvements.
- Recommend and implement enhancements within scoped project areas.
- Support rollout activities by creating user documentation, training assets, and providing adoption support.
- Partner with change and communications teams to help end users transition to new AI‑enabled workflows.
- Apply responsible AI standards, privacy requirements, and data security practices to solution development.
- Identify potential risks and elevate appropriately.
- Monitor solution performance using defined KPIs.
- Provide updates to project leads and stakeholders during development and deployment.
- Stay updated on emerging AI/ML innovations relevant to assigned domains.
- Share insights and reusable components with the Automation Lab team.
- Bachelor’s degree (Master’s preferred).
- Typically 8+ years of experience in technology‑driven process improvement, data science, engineering, or automation roles.
- 1–3 years of hands‑on AI/ML or digital transformation experience.
- Proficiency with Python and modern ML frameworks (PyTorch, Tensor Flow, scikit‑learn, Hugging Face).
- Strong analytical skills, communication ability, and experience managing work across multiple projects.
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$105,786 - $141,047 in these states: AL AR AZ FL GA IA KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$111,074 - $148,099 in these states: CO HI MI MN NC NH NV OR RI
$116,364 - $155,152 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short‑term incentives, long‑term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits ()
Bonus Structure
#LI-Remote
What to Expect NextRequisition #: 341448
Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (). Job‑related concerns identified during the background screening may disqualify you from the new position or your current role.
Background results will be evaluated on a case‑by‑case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest…
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