Description
Position at Imagine Learning
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 Agentic Systems Architect is responsible for the design, evolution, and governance of intelligent, agent based systems that enable autonomous and semiautonomous workflows across the organization. This role defines architectural patterns, ensures scalability and reliability, and partners closely with engineering, product, and business stakeholders to deliver safe, effective agentic solutions aligned with organizational strategy.
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 Senior Director or Engineering. We are not offering 1099 engagements at this time.
Compensation : Base pay is anticipated to be between $ 153,415 and $ 200,000 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 25 % 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: I magine Learning provides a comprehensive benefits program to eligible employees, including:
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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 m aternity and f ertility /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:
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Designs and evolves a plugin-based architecture (leveraging standards like the Agents, Skills, Hooks and Model Context Protocol / MCP) to extend Claude Code, enabling the AI to securely interface with our internal SDLC toolchains and proprietary data.
- Develops and optimizes production AI applications through effective prompt engineering, context management, and tool ‑ use patterns .
- Develops highly reliable 'tool-use' patterns and context-hydration strategies, ensuring Claude Code has the precise system access and context required to execute SDLC tasks (requirements analysis, code generation, debugging) autonomously .
- Designs and delivers AI systems that comply with applicable data privacy and regulatory requirements, including FERPA and COPPA, within regulated EdTech environments.
- Designs developer ‑ focused tooling with a strong emphasis on usability, adoption, onboarding, documentation, and continuous feedback loops.
- Applies a security-first approach to local and remote agent execution, implementing robust sandboxing, strict permission scopes, and secure authentication flows for CLI-based AI tools to prevent destructive actions or data leakage.
- Drives the governance strategy for our AI SDLC platform, defining how plugins are evaluated, versioned, approved, and monitored to prevent unauthorized system changes or degradation of engineering quality.
- Leads estimation, scoping, and planning activities for AI/ML initiatives, partnering with executive and senior stakeholders to prioritize and deliver strategic platform milestones.
- Leads continuous improvement across system architecture, engineering quality, and AI model integration through hands ‑ on leadership and a focus on measurable outcomes.
- Travel required up to 25%.
- Other duties as required.
Share Your Expertise .
Experience, education, and qualifications essential for success in this role, include:
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8 years of experience as a Lead Software Engineer, Platform Architect, or AI Engineering Lead with a Bachelor's degree or 6+ years with a Master's degree or 5+ years with a PhD .
- Proven experience building AI-enabled developer tooling, function-calling (tool-use) pipelines, or extensible agentic platforms in production. Familiarity with emerging standards like the Model Context Protocol (MCP) is a major plus. Strong background in architecting modular, extensible platforms and scalable system designs.
- Proficiency in TypeScript/Node.js and/or Python, with deep expertise in designing modular APIs, SDKs, or CLI-based tools. Strong understanding of REST, GraphQL , and event-driven architectures. Practical experience with prompt engineering, context management, and production AI application patterns; familiarity with RAG or embedding ‑ based retrieval preferred.
- Working knowledge of data privacy and compliance requirements in regulated environments, including FERPA and COPPA.
- Deep understanding of secure system design, specifically concerning authentication flows (OAuth, token management for toolchains), Role-Based Access Control (RBAC), and mitigating AI vulnerabilities like insecure tool execution or prompt injection.
- I ntimate knowledge of the modern Software Development Lifecycle and practical experience integrating with core DevOps and project management toolchains (e.g., GitHub, Confluence, Jira, CI/CD pipelines).
- US Person is required for this role; sponsorship is not available.
- Please note that if you are selected for an interview, you will be provided with a problem to solve during this interview. You will need access to AI (examples include Claude, Gemini, ChatGPT, etc.) to demonstrate how you will leverage an AI tool when solving a problem. Additionally, you will also need to have Claude Code or Cursor installed for the interview.
- Experience estimating, scoping, and delivering AI/ML initiatives within Agile delivery models and SDLC best practices.
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.
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.
