AI Workflow and Automation Architect

Great Purpose. Great People. Great Opportunities.

At Imagine Learning, we Empower Potential - in students, educators, and each other. As the leading provider of digital-first K–12 curriculum solutions, we’re committed to igniting learning breakthroughs that spark curiosity, creativity, and confidence. Every day, our team designs innovative tools that help educators personalize instruction and engage students in meaningful ways. We’re shaping the future of learning through our Curriculum-Informed AI™ approach - technology that understands instructional context, respects educator judgment, and transforms how teachers personalize learning at scale to unlock each student’s potential. Together, we’re reimagining what’s possible and transforming education.

That same spirit of innovation and purpose drives our team culture. At Imagine Learning, you’ll find opportunities for meaningful work, continuous growth, and connection with passionate colleagues who care deeply about making a difference. We celebrate collaboration, embrace change, and believe in lifelong learning - for our students and ourselves.

As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S. and internationally. Most of our U.S.-based employees work from home or on a hybrid schedule at one of our office locations in Tempe, AZ (HQ), Austin, TX, Petaluma, CA, Rock Rapids, IA, or Bloomington, MN.

Imagine Your Impact.

The AI Workflow & Automation Architect reports to the AI Workflow & Automation Manager and leads the design and execution of large-scale content development and transformation initiatives, projects that take existing curriculum and systematically convert, translate, localize, or restructure it at a scale that manual processes cannot reach. Spanish translation of K–12 curriculum is the anchor use case for this role, with adjacent transformations (accessibility remediation, format migrations, grade-band adaptations, additional languages) on the near-term horizon. This role is both architectural and execution-focused: scoping multi-month transformation programs, building the AI-assisted pipelines that power them, partnering with curriculum and localization SMEs to define quality bars, and operationalizing repeatable systems that successive projects can inherit rather than rebuild.

For more information on what it’s like to work at Imagine Learning, including our culture, benefits, and products, visit us HERE.

To learn more about a typical applicant journey at Imagine Learning, click HERE.

Position Information: This is a regular, full-time position, reporting to the AI Workflow & Automation Manager.

Compensation: Base pay is anticipated to be between $83,335.00 and $90,000.00 per year. Eligible employees may also receive incentive/commission/annual bonus pay based on individual and/or company performance. Compensation may vary based on factors such as, but not limited to, individual skills, experience, training, education/certifications, geographic location, internal equity, and local market conditions.

Location: In this US-based position your location will be remote.

Travel: You can also expect up to approximately 10% travel, so be sure you have a valid driver’s license and automobile insurance and a clean driving record for at least the preceding 39 months.

Benefits: Imagine Learning provides a comprehensive benefits program to eligible employees, including:

• Multiple health, dental, and vision plans, including medical plans with zero employee premiums
• 401k plan with a company match
• 16 paid holidays, which include 2 floating holidays and a winter shutdown from Christmas Eve through New Year’s Day
• Paid Time Off
• Comprehensive maternity and fertility/family building benefits
• Paid bonding leave when a new child joins your family
• Access to on-demand mental health resources
• Life and short and long-term disability insurance
• Pre-tax savings plans
• Paid volunteer time off
• A wide variety of professional development programs, including tuition reimbursement
• Work from home opportunities that foster work/life balance

Envision Your Experience.

In this role you’ll have the opportunity to:

• Program Architecture - Scope and structure large-scale transformation initiatives end-to-end: define the unit of work, sequence the pipeline stages, identify where human review is non-negotiable versus where AI can run unattended, and produce the project plan that turns a multi-thousand-asset corpus into a tractable program. Spanish translation of curriculum is the immediate focus; the architecture must generalize to future transformations.
• Pipeline Development - Build the AI-assisted workflows that power transformation at scale using Python, LLM APIs, translation services, and workflow platforms (StackAI and AWS Flows). Engineer the connective tissue between source content systems, transformation steps, QA layers, and target destinations. Design pipelines that are observable, resumable, and produce auditable outputs.
• Quality Systems - Partner with curriculum, localization, and content SMEs to translate tacit quality standards into explicit, measurable criteria — glossaries, style guides, evaluation rubrics, sample-based QA protocols. Build the tooling that surfaces failure patterns early so human reviewers spend their time on judgment calls, not catching basic errors.
• Evaluation & Tool Selection - Pilot and evaluate translation APIs, LLM-based translation and adaptation approaches, translation memory systems, and adjacent tooling for cost, quality, compliance, and integration fit. Make defensible recommendations on build-versus-buy and document the reasoning so decisions are reusable.
• Enablement & Training - Serve as the AI liaison to curriculum, localization, and content teams. Run trainings, document usage patterns, and create the prompt libraries, configuration templates, and runbooks that let partner teams operate transformation pipelines confidently. Translate technical concepts for non-technical stakeholders.
• Operationalization - Partner with the AI Workflow & Automation Manager to productionize pilots into supported internal solutions. Document architecture, endpoints, configuration, and troubleshooting; contribute to the central catalog of approved tools, workflows, and patterns so each transformation project builds on the last.
• Collaboration - Work closely with curriculum experts, localization specialists, and engineering/ops partners. Focus on building enablement infrastructure and automation systems, not on producing the transformed content directly.
• Other duties as required. 

Share Your Expertise.

Experience, education, and qualifications essential for success in this role, include:

• Bachelor's degree in Computer Science, Linguistics, Product Management, Education, Business, or a related field, and at least 3 years of relevant experience, including at least 2 years working on SaaS, AI/ML, localization, or large-scale content transformation projects; or an acceptable combination of education and experience.
• Demonstrated experience scoping and delivering large-scale content transformation, localization, or migration projects.
• Working knowledge of localization and translation workflows: translation memory, glossary and termbase management, style guides, and linguistic QA.
• Scripting proficiency in Python; comfort working with APIs, webhooks, and workflow automation platforms (StackAI, AWS Flows, PowerAutomate or comparable) is preferred.
• Demonstrated ability to evaluate AI tools and translate fuzzy quality requirements into measurable evaluation criteria.
• Excellent collaboration, documentation, and communication skills; ability to translate technical concepts for non-technical partners and surface tacit knowledge from SMEs.
• Strong problem-solving skills, intellectual curiosity, and a habit of pressure-testing your own reasoning.
• Preferred: K–12 EdTech experience.
• Preferred: Spanish proficiency or bilingual fluency, particularly with educational content.
• Preferred: Experience with translation memory or TMS platforms.
• Preferred: Experience designing LLM evaluation harnesses or human-in-the-loop review systems.
• Preferred: Familiarity with K–12 curriculum content structures and learning standards (e.g., CCSS, TEKS).
• Innovative mindset and the ability to learn new technologies quickly.
• Highly proactive, organized, and comfortable operating in fast-paced, evolving environments.
• Deep passion for educational equity and innovation, with a strong interest in transforming learning through AI.
• Willingness to travel up to 10% to engage with stakeholders and internal teams as needed.

At Imagine Learning, we believe our work is strongest when people feel respected, supported, and encouraged to contribute their unique perspectives. We strive to create a welcoming workplace where employees can learn from one another, grow together, and build educational experiences that reflect the world of our learners.

Imagine Learning is an Equal Opportunity Employer committed to providing equal employment and advancement opportunities to qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, sex (including pregnancy, childbirth, lactation, or related medical conditions), gender identity or expression, transgender status (including whether or not you are transitioning or have transitioned), sexual orientation, marital status, religion (including religion dress and grooming practices), age 40 and over, physical or mental disability, medical condition, genetic information (including results of genetic testing and characteristics), veteran and/or military status, or service in the military, and any other basis or status protected under applicable federal, state, or local laws. 

To all recruitment agencies: Imagine Learning does not accept agency resumes. Please do not submit candidates for consideration via our online application system, to Imagine Learning employees, or to any other organization location. Imagine Learning is not responsible for any fees related to unsolicited resumes.