AI Engineer

The American Psychological Association

RemotePosted July 25, 2026

AI Engineer

The American Psychological Association

RemotePosted July 25, 2026

About the role

Overview: The American Psychological Association (APA) seeks an AI Engineer to design, build, and operate agentic AI and retrieval-augmented generation (RAG) systems that automate multi-step business workflows. The role partners with engineering and business stakeholders to deliver deployable, observable AI solutions with measurable quality, guardrails, and ongoing iteration as tooling evolves.

Responsibilities

Qualifications:

Design and implement agentic AI workflows capable of planning and executing complex, multi-step tasks using approved agent frameworks; ensure predictable behavior through explicit tool boundaries, permissions, and safety controls.
Build and maintain end-to-end RAG solutions, including ingestion pipelines, chunking, embeddings, retrieval strategies, and generation prompts optimized for relevance and latency.
Deploy and operate AI services on AWS, balancing availability, latency, and cost; implement robust runtime behavior with retries, fallbacks, circuit breakers, and guardrails.
Enable workflow automation by identifying high-value repetitive processes and delivering AI-powered automation layers that integrate into enterprise systems.
Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks to support maintainability and auditability.
Collaborate cross-functionally with product and business stakeholders to translate workflows into well-scoped deliverables and validate outcomes against measurable success criteria.
Other duties as assigned.
Bachelor’s degree in computer

About the role

Overview: The American Psychological Association (APA) seeks an AI Engineer to design, build, and operate agentic AI and retrieval-augmented generation (RAG) systems that automate multi-step business workflows. The role partners with engineering and business stakeholders to deliver deployable, observable AI solutions with measurable quality, guardrails, and ongoing iteration as tooling evolves.

Responsibilities

Qualifications:

Design and implement agentic AI workflows capable of planning and executing complex, multi-step tasks using approved agent frameworks; ensure predictable behavior through explicit tool boundaries, permissions, and safety controls.
Build and maintain end-to-end RAG solutions, including ingestion pipelines, chunking, embeddings, retrieval strategies, and generation prompts optimized for relevance and latency.
Deploy and operate AI services on AWS, balancing availability, latency, and cost; implement robust runtime behavior with retries, fallbacks, circuit breakers, and guardrails.
Enable workflow automation by identifying high-value repetitive processes and delivering AI-powered automation layers that integrate into enterprise systems.
Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks to support maintainability and auditability.
Collaborate cross-functionally with product and business stakeholders to translate workflows into well-scoped deliverables and validate outcomes against measurable success criteria.
Other duties as assigned.
Bachelor’s degree in computer

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