AI Solutions Engineer Contract Intelligence / CLM

eTeam Inc
Sunnyvale, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Natural Language Processing Large Language Models Model Validation Artificial Intelligence Markup Language (AIML) Data Pipelines

Job description

AI Solutions Delivery Engineer - ***, Top 3 responsibilities you would expect the Subcon to shoulder and execute Use Case Discovery Prioritization Partner with contract lifecycle stakeholders to identify automation and intelligence opportunities e.g., clause extraction, obligation tracking, renewal prediction, risk scoring, contract summarization. Solution Design Architect endtoend AI solutions including data pipelines, model selection LLM, NLP, ML, integration points, and UX flows that fit within Apples enterprise ecosystem. Delivery Implementation Own the build cycle requirements gathering, prototyp Interview Process (Is face to face required?)

Requirements

(2 years of AI Solutions Delivery experience) & Total experience 5-8 Years & The Team is open for candidates from Sunnyvale, CA 94085 OR Austin, TX), Demonstrated experience with contract management, CLM platforms, or adjacent legaltech domains Strong understanding of LLMs, NLP techniques, and their application to documentheavy workflows Experience working in matrixed, crossfunctional environments (Sales, Legal, Finance, Engineering) Nice to have skills GenAI, NLP, and contract intelligence tooling. Solution Design Architect endtoend AI solutions including data pipelines, model selection (LLM, NLP, ML), integration points, and UX flows that fit within Apples enterprise ecosystem., Experienced in solution delivery, consulting, or product development with at least 2 years focused on AIML solutions Demonstrated experience with contract management, CLM platforms, or adjacent legaltech domains Strong understanding of LLMs, NLP techniques, and their application to documentheavy workflows Ability to translate ambiguous business problems into structured technical requirements Experience working in matrixed, crossfunctional environments Sales, Legal, Finance, Engineering Excellen

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