Sr AI Engineer

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details

Job Title: AI Engineer Agent Risk & Remediation

Location: Seattle WA (Hybrid)
Duration: Long term contract

Responsibilities:

This role builds and runs the program that keeps every agent in the enterprise safe and current - not just the agents your team builds, but everyOgent built by every team across T-Mobile. As the agent population grows, you'll build the crawling agents that scan the whole fleet, spot what needs attention

- agents on deprecating models, agents burning too many tokens, agents drifting out of policy - and tier the risk. Then you build the enterprise-scale remediation automation that can push a safe fix across the whole population at once, and for everything that can't be auto-fixed, you route the action to the agent's owner and follow up until it's closed. This is one of the largest-scope engineering roles in the organization - it reaches every agent in the company. Success looks like a fleet where risk is found early wherever it lives, fixed at scale where that's safe, and routed to the right owner everywhere else, with nothing risky sitting unaddressed.

If you want to help bring Al to T-Mobile in a way that's fast, safe, and easy to use, we'd like to hear from you.

Job Responsibilities

* Build the crawling agents that scan every agent in the enterprise - built by any team - for those needing attention: deprecating models, token overruns, policy drift, updates due.

* Risk-tier what is found, using the tiers and criteria Safety Standards defines.

* Build enterprise-scale remediation automation that pushes safe fixes across the population where the tier allows.

* Route what can't be auto-fixed to each agent's owner and follow up to closure against SLA; SRE is one such owner, for the agents your team builds.

* Collaborate with cross-functional teams to ensure effective integration and functionality of Al systems

* Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience

* Bachelor's Degree plus 3 years of related work experience

* OR advanced degree with 1 year of related work experience

* OR a combination of education and experience deemed equivalent (Required)

* Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or a Related Field (Preferred)

* 2-4+ years Developing and deploying machine learning models, including fine-tuning and prompt engineering (Preferred)

* 2-4+ years Experience with Al tools and software development using programming languages such as Python or R (Preferred)

* 2-4+ years Collaborating with cross-functional teams to integrate Al solutions into business workflows (Preferred)

Required Knowledge, Skills and Abilities

* Cloud Computing

* Collaboration

* Customer-Focused

* Data Analysis

* Data Management

* Data Modeling

* Model Tuning

* Prompt Engineering

* Enterprise-Scale Scanning & Automation

* Remediation Automation

* Risk Tiering & Prioritization

Preferred Knowledge, Skills and Abilities

Licenses and Certifications

* Certified Analytics Professional (CAP): Validates expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)

* Machine Learning Certification: Demonstrates proficiency th machine learning techniques and applications, relevant for developing Al models. (Preferred)

Certified Data Scientist (CDS): Endorses skills in data science and its application in Al modeling (Preferred)

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

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