[Remote] Senior Staff AI Engineer

Note: The job is a remote job and is open to candidates in USA. Change.org is a public benefit company and the world's largest social change platform, seeking a Senior Staff AI Engineer to lead the development of AI-powered internal systems. The role involves architecting complex AI solutions, enhancing engineering productivity, and driving cross-functional collaboration to elevate the organization’s AI maturity.

Responsibilities

• Lead the transformation of ambiguous, cross-functional business needs into well-scoped technical problem statements, and drive the creation of rapid AI-powered proofs of concept that validate direction and inform longer-term architectural decisions
• Define and ship foundational AI and automation architectures (agentic systems, orchestration patterns, governance frameworks) that become organizational standards
• Lead end-to-end delivery of complex AI-driven internal products that integrate deeply with core systems, improving efficiency and decision-making across multiple functions
• Develop and enhance engineering productivity with introduction of new tools, automation, and workflows
• Establish methods, templates, and reusable components that increase the velocity of other engineers and cross-functional teams building automations or AI workflows
• Drive safety, reliability, and human-in-the-loop design across AI systems — creating monitoring, approval, observability, and guardrail frameworks that scale
• Influence and align cross-functional stakeholders (Product, Ops, MarComms, Engineering leadership) around AI strategy, technical direction, and prioritization
• Mentor and level up engineers through architectural guidance, code review, technical design leadership, and thought partnership
• Contribute to Change.org’s AI governance, adoption strategy, and platform decisions including tools like v0 by Vercel, Retool, and internal automation frameworks
• This job is expected to participate in our on call rotation

Skills

• 8–12+ years of professional software engineering experience, including substantial experience owning complex systems, platforms, or internal tools
• Demonstrated expertise designing and shipping AI-enabled systems — including experience with LLM APIs, agentic frameworks, orchestration tools, retrieval pipelines, or automated decision systems
• Significant experience integrating with complex third-party systems and designing reliable, secure automation flows
• Experience establishing engineering standards, defining architectural patterns, and guiding teams through major technical or strategic decisions
• Familiarity with security, privacy, data governance, and reliability practices for AI-augmented tools
• AI-First Technical Leadership: Demonstrates deep practical experience with AI systems, agentic workflows, and automation architectures. Can evaluate tradeoffs, set direction, and apply judgment in ambiguous spaces
• Architectural Excellence & Systems Thinking: Designs long-term, scalable internal systems that cut across domains; anticipates second-order effects, operational risks, and maintainability concerns
• Full-Stack + Integrations Expertise: Comfortable with end-to-end implementation: frontend prototypes, backend services, integrations with third-party systems, cloud infrastructure, and API ecosystems
• Cross-Functional Influence: Navigates ambiguity, synthesizes complex needs, and persuades diverse stakeholders. Communicates decisions clearly and shapes organizational understanding of AI capabilities
• Enablement Mindset: Builds tools, frameworks, and patterns that multiply the productivity of engineers and non-technical teams; establishes standards rather than just delivering features
• Strategic Prototyping & Rapid Iteration: Can move quickly when needed — exploring, validating, and scaling solutions while balancing short-term experimentation and long-term architectural integrity
• Experience with vector databases, RAG architectures, or model fine-tuning
• Experience with Vercel, Retool, or similar platforms
• Prior contributions to open-source AI frameworks or automation tooling
• Experience mentoring engineers or shaping organizational technical strategy

Company Overview

• Change.org is social change platform with over 150 million users worldwide. It was founded in 2007, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is http://www.change.org.

Company H1B Sponsorship

• Change.org has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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