AI Solutions Engineer (Agency Operations)
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Responsibilities
- Take existing AI-supported processes (currently built on Google Gemini Gems) and develop them into scalable, production-ready agents
- Partner with subject matter experts across copywriting, account management, design, video, and partnerships to understand workflows and iterate on solutions
- Design, build, and deploy AI agents and tooling that improve speed and quality across business functions
- Ensure AI solutions are secure, scalable, and reliable when deployed across multiple non-technical users
- Coach and upskill non-technical team members so they can adopt and use AI tools effectively
- Make deliberate, well-reasoned engineering decisions and explain the trade-offs (security, scalability, cost, reliability) clearly
- Document tools, workflows, and best practices so they can be maintained and scaled across the organization
- Partner with leadership to shape the AI roadmap, growing into ownership of it over time
- Stay current on the rapidly evolving AI landscape and bring new capabilities and ideas to the team
- WORK SCHEDULE
- This role follows a consistent daily rhythm that aligns with US Eastern business hours while giving you time for rest, personal tasks, and balance throughout your day.
- Here's what a typical day looks like:
- Start your day with a 4.5-hour work block: 9:30am-2:00pm (PHT)
- Enjoy your afternoon free : 2:00pm-8:00pm (PHT)
- Finish your workday with another 4.5-hour block: 8:00pm-12:30am (PHT)
- Sleep/rest : 12:30am-9:30am (PHT)
- This structure offers a long midday break while supporting strong collaboration with US-based teams during their business hours.
- What Your Typical Day May Look Like
- Note: All of these times would shift 1 hour later when the time difference switches to 13 hour differences from 12 hour differences
Requirements
- Based in the Philippines with consistent availability for a long-term role
- At least 3 years of relevant engineering experience
- Exceptional English verbal and written communication skills, with the ability to explain technical concepts to non-technical people
- Strong academic background with an outstanding General Weighted Average
- Degree in Computer Science, Engineering, Information Technology, or a related technical field
- Proven experience serving as the engineering partner to non-technical teams or stakeholders
- Experience deploying scalable AI solutions, ideally within a professional services or agency context (a strong plus)
- Hands-on experience with AI development tools such as Claude, Codex, and Gemini, as well as other modern AI tooling
- Real understanding of AI deployment trade-offs - security, scalability, cost, and reliability - not just prompt-and-accept usage
- Strong coding ability alongside fluency with AI-native and agent-building tools
- Experience designing and depl
Additional Information
Be Part of a Mission-Driven Team At Foundry for Good, we don't just build businesses-we build businesses that do good. Across our family of brands, we support nonprofits, trade associations, and mission-driven organizations with innovative software, impactful marketing strategies, and tools that empower positive change. Here's why you'll love working with us: Stability & Growth : We're 100% self-funded, with no outside investors or debt, meaning long-term stability and thoughtful growth. People-First Culture : Our 95%+ employee retention rate reflects our commitment to competitive pay, respect, and career development. Global Collaboration : Work with talented team members in the US and the Philippines who share your drive for excellence and impact. Mission-Focused Work : Every role here supports organizations making the world a better place. If you're ready to grow your career while making a difference, we'd love to hear from you! Watch Our "Meet the Team" Video ROLE We're seeking a hands-on AI Solutions Engineer to lead the next phase of AI development across Nexus Marketing's operations. Our teams already use AI in their daily work - primarily through Google Gemini Gems built around our existing processes. Your job is to take those workflows to the next level: turning them into robust, scalable agents and partnering with the people who run them to make them better. This is a role at the intersection of engineering and enablement. You'll work directly with subject matter experts across copywriting, account management, design, video, and partnerships to understand how each function works, then design and deploy AI agents that make that work faster and higher-quality. Just as important, you'll coach non-technical team members to adopt these tools confidently and use them well. We're not looking for someone who clicks "accept all" and moves on. We want an engineer who understands the implications of each decision - security, scalability, cost, reliability - and can deploy solutions that work safely across many users on a team, not just on their own machine. You'll start by partnering with leadership to shape the AI roadmap, and over time you'll grow into owning it.
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