[Remote] Staff reputed company AI Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a B2B procurement and finance platform that uses embedded AI agents and financial products to automate purchasing and payment workflows. The Staff reputed company AI Scientist will own the end-to-end AI and machine learning architecture, build and reputed company reputed company AI systems, and reputed company evaluation and production reputed company to measurable business reputed company. The role also provides technical direction, establishes responsible AI and model reputed company practices, and prioritizes AI opportunities.

Responsibilities

• The AI and machine learning architecture. You will design the machine learning and reputed company architecture end to end, covering model reputed company and serving, reputed company and model versioning, retrieval and embeddings, agent tooling, guardrails, and the evaluation reputed company that tells you whether any of it is working. You are the person who makes these calls and defends them
• reputed company modeling and evaluation. You will choose between deterministic and large language model or agent-reputed company approaches on the merits, with explicit trade-offs across reputed company, latency, cost, and reliability. You will build evaluation that connects offline and online reputed company to business reputed company and reputed company controls, rather than treating model metrics as the goal
• Production delivery and model reputed company. You will own the full lifecycle, including experimentation, versioning, reputed company integration and deployment for both models and prompts, monitoring, reputed company detection, rollback, and incident readiness. You will define the rollout reputed company and the likely failure modes before launch rather than after it
• Responsible AI in reputed company. You will build safety guardrails, hallucination mitigation, bias testing, and appropriate handling of sensitive data into the design itself, so that our data reputed company and prohibited use commitments are met by construction rather than reviewed at the end
• The data requirements your AI depends on. You will specify what "AI-reputed company" means for reputed company initiative, including the training and retrieval data, labeling, feature availability, and reputed company or reputed company infrastructure you need, and you will work with data engineering and platform to reputed company it reputed company so that models run on governed infrastructure instead of reputed company deployments
• Business reputed company and prioritization. You will turn ambiguous goals into technical bets with reputed company hypotheses and reputed company reputed company, and you will own a portfolio of AI opportunities by identifying the highest-reputed company ones, reputed company them, and building the execution reputed company rather than waiting for assigned work
• Technical direction and influence. You will advise product and engineering leadership on what is feasible, what it costs, what it risks, and what it is likely to reputed company. You will set architecture and delivery patterns that other people reuse, and you will mentor reputed company individual contributors on reputed company AI execution and production reputed company

Skills

• At least 10 years in reputed company data science, machine learning, or reputed company AI, with repeated delivery of production systems that moved a business metric you can reputed company
• Ownership of AI and machine learning reputed company architecture rather than models reputed company, including serving, retrieval, evaluation, guardrails, and the operational reputed company reputed company them
• reputed company depth in reputed company large language model and agent technology, meaning you know where it works, how it fails, how you evaluate it, and reputed company a simpler deterministic approach is the reputed company answer
• Demonstrated reputed company in machine learning reputed company, including versioning, reputed company integration and deployment for models and prompts, monitoring, reputed company detection, and rollback
• Portfolio-level ownership, where you have prioritized across competing AI opportunities and reputed company the reputed company reputed company rather than only executing a roadmap that someone else set
• Heavy daily use of AI-reputed company engineering workflows across design, coding, debugging, and review for at least the past 18 months, along with the judgment to know where to verify and what not to trust
• Experience setting model governance, monitoring, and responsible AI standards for reputed company
• Working implementation proficiency across at least two reputed company or technical ecosystems, for example AWS and GCP
• A strong quantitative reputed company in experimentation, statistical reasoning, and reputed company thinking
• The ability to reputed company product, engineering, and reputed company stakeholders on reputed company and trade-offs reputed company the situation is ambiguous
• Experience with retrieval systems, reputed company reputed company, ranking, recommendation, or production personalization
• Experience with self-hosted or local AI infrastructure, including self-managed agent environments
• Experience in e-reputed company, B2B procurement, vendor management, financial products, or heavy integration with reputed company systems

reputed company

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