Artificial Intelligence Engineer III

🕒 vor 1 Monat

🤠 Texas – Remote

🤠 Texas – Remote

💵 $138.950 - $169.100 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Insperity

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1986

👥 HR Tech

🤝 B2B

HR Tech • B2B

Insperity ist ein in den USA ansässiger Anbieter von HR-Outsourcing- und Workforce-Management-Lösungen, die Unternehmen jeder Größe dabei unterstützen, Gehaltsabrechnung, Leistungen, Compliance und Talentmanagement zu verwalten. Als professionelle Arbeitgeberorganisation (PEO) bietet Insperity umfassende HR-Lösungen (Insperity HR 360), optimierte Gehaltsabrechnungs- und Workforce-Plattformen (HR Core, HR Scale) sowie zusätzliche Dienstleistungen wie Vertragsmanagement, Talentakquisition, Altersvorsorge- und Versicherungsdienste und Mitarbeitervergünstigungen an. Das Unternehmen kombiniert HR-Technologie mit ausgelagerter HR-Expertise, um kleinen, mittelständischen und größeren Unternehmen bei der Reduzierung des HR-Administrationsaufwands, der Minderung von Compliance-Risiken und der Verbesserung der Mitarbeitererfahrung zu helfen.

Beschreibung

• Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches. • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions. • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures. • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact. • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems. • Owns production readiness, including performance, reliability, cost, observability, and failure handling. • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior. • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery. • Mentors and provides technical guidance to other team members. • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience. • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development. • Advanced proficiency in software engineering, including Python, APIs, testing, and system design. • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar. • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes. • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks. • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data. • Experience deploying, monitoring, and iterating on AI systems in production environments. • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability. • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

🏖️ Vorteile

• Generous paid time off • Top-tier medical, dental and vision benefits • Health & wellness support • Paid volunteer hours