Job Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Engineer, AI - Agent Risk & Remediation
Location:Seattle, WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
- 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 every agent built by every team across the company.
- 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.
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 AI 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 AI tools and software development using programming languages such as Python or R (Preferred)
- 2-4+ years Collaborating with cross-functional teams to integrate AI 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
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 in machine learning techniques and applications, relevant for developing AI models. (Preferred)
- Certified Data Scientist (CDS): Endorses skills in data science and its application in AI modeling. (Preferred).
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Computer/IT Services |
| Salary | $61.52 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Skills
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Cloud Computingunmatched
- Computer Scienceunmatched
- Cross-Functionalunmatched
- Customer Relationsunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Diversityunmatched
- Establish Prioritiesunmatched
- Information Technology & Information Systemsunmatched
- Machine Learningunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- Riskunmatched
- Safety Standardsunmatched
- Service Level Agreement (SLA)unmatched
- Software Developmentunmatched
- Standards Developmentunmatched
- Team Lead/Managerunmatched
- Vehicle Fleetsunmatched
- Workforce Managementunmatched
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