Engineer, AI Agent Risk & Remediation

TekWissen LLC; Seattle (WA); On-site; USD 120,000 - 160,000; Part time

Job summary

TekWissen Group in Seattle, WA is seeking an Engineer, AI - Agent Risk & Remediation for a 6-month onsite assignment. You will build and run safety tooling that covers all agents across the company, scanning for deprecating models, token overruns, policy drift, and updates.

You will architect enterprise-scale remediation automation and route non-auto fixes to owners with SLA tracking, collaborating with cross-functional teams to ensure AI systems integrate smoothly.

Qualifications

• Bachelor's degree and 3+ years related experience, or advanced degree with 1+ year.
• AI and ML model development experience including fine-tuning and prompt engineering.
• Proficiency with Python or R for AI product development.
• Experience collaborating with cross-functional teams to integrate AI into workflows.

Responsibilities

• Build crawling agents that scan every agent in the enterprise for attention issues.
• Risk-tier findings using Safety Standards criteria.
• Develop enterprise-scale remediation automation to push safe fixes.
• Route non-auto fixes to agent owners and track to SLA; SRE is an owner.
• Collaborate with cross-functional teams to integrate AI systems.
• Take on additional duties as assigned by management.

Skills

Cloud Computing

Collaboration

Customer-Focused

Data Analysis

Data Management

Data Modeling

Model Tuning

Prompt Engineering

Enterprise-Scale Scanning & Automation

Remediation Automation

Risk Tiering & Prioritization

Education

Bachelor's Degree + 3 years of related work experience

Advanced degree + 1 year of related work experience

Combination of education and experience deemed equivalent

Computer Science, Engineering, AI, Data Science or related field

2-4+ years Developing and deploying ML models (Preferred)

2-4+ years Experience with AI tools and Python or R (Preferred)

2-4+ years Cross-functional collaboration to integrate AI solutions (Preferred)

Tools

Python

R

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.