Amazon.com Services LLC

Technology

ExpertConsultant-SoftwareEngineer,AGI

$144–194k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Expert Consultant- Software Engineer, AGI at Amazon.com Services LLC. Skills: Data Services, AI Solutions, GenAI. Provide strategic oversight. Provide mentorship and guidance”

Industry & Context.

Technology
Problems you'll solve

Specialized problem-solving

What They're Looking For.

Must Have

2+ years design or architecture experience, Bachelor's degree or above in computer science or equivalent, Experience working with or evaluating AI systems, Experience guiding and coaching other developers

Nice to Have

3+ years full software development life cycle experience, Experience with Cloud platforms, Experience with database systems, Experience with AI tools for development productivity, Contributing to open-source projects, Experience with version control systems, Defining and creating benchmarks for assessing GenAI model performance

What You'll Do.

Provide strategic oversight

Provide mentorship and guidance

Ensure data excellence

Deliver expert consultation

Foster iterative development

Maintain data quality standards

Build capability within team

Serve as domain advisor

Provide problem-solving support

Champion domain knowledge sharing

Maintain data quality excellence

Maintain data quality standardization

Drive collaborative efforts

Optimize output of collections

Ensure data excellence

Foster team excellence

Motivate peers and juniors

Make informed decisions

Ensure code meets standards

Collaborate with AI teams

Innovate model-in-the-loop approaches

Innovate human-in-the-loop approaches

Ensure collection of high-quality data

Safeguard data privacy

Safeguard data security

Stay abreast of developments

Ensure evaluations remain cutting-edge

Develop and write demonstrations

Illustrate data quality benchmarks

Provide detailed feedback

Provide explanations for evaluations

Refine LLM understanding

How You'll Work.

Team & Collaboration

Cross-functional teams; Science teams; AI teams

Full Job Description

Embark on a transformative journey as our Expert Consultant, where intellectual rigor meets technological innovation. As an Expert Consultant, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team. Key job responsibilities • Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support • Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization • Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops • Foster team excellence through mentorship and motivation of peers and junior team members • Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs • Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. • Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge. • Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficie

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