AI Solutions Engineer

About Pinterest Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. We’ll explore your foundational skills and how you collaborate with AI, focusing on how you can explain your approach, showing us not just what you know, but how you think. We’re building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high‑value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life. This is a hands‑on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python. You'll work end‑to‑end — from discovery and scoping through prototyping, launch, and iteration — using the latest agentic frameworks, tool‑calling patterns, and responsible AI practices. What You’ll Do Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities. Map and improve business processes: Document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance). Design end‑to‑end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users. Build and ship production‑quality software: Write clean, maintainable code and tests. Use standard CI/CD and environment practices. Implement logging, monitoring, and basic guardrails so we can understand and improve performance, quality, cost, and reliability over time. Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage. Champion responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data. Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams. Accelerate workflows with Generative AI and Automation: Leverage AI to accelerate execution, explore alternative solutions, synthesize information, and automate repeatable work. What We’re Looking For Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems — backend services, internal tools, integrations, or data applications. Hands‑on AI and automation delivery. You’ve shipped AI‑powered or automation‑driven solutions in a real environment. Agentic AI literacy. You understand how modern agentic systems are constructed, how to use Agent Skills and Hooks, and how A2A coordination is structured. System design and architecture thinking. You can sketch data flows, reason about integration points, evaluate trade‑offs, and design for failure. Data and security judgment. You understand data access controls, risks of giving AI broad access to sensitive information, PII minimization, audit logging, and responsible data handling. Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations. Clear, collaborative communication. You can explain architecture trade‑offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon. Preferred Qualifications Experience working embedded with corporate/G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar). Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling. Familiarity with MCP server design — including building, deploying, and securing MCP‑compliant tool servers. Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human‑in‑the‑loop review queues, or A/B testing. Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII‑sensitive/regulated domains. Experience with RAG pipelines, vector databases, or enterprise search integrations. Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM‑powered features. Bachelor’s/Master’s degree in a relevant field such as Computer Science. Demonstrated ability to use AI to improve speed and quality in your day‑to‑day workflow. Strong track record of critical evaluation and verification of AI‑assisted work. High integrity and ownership: protect sensitive data, avoid over‑reliance on AI, and remain accountable for final decisions and deliverables. Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In‑Office Requirement Statement This role will need to be in the office for in‑person collaboration 1‑2 times every 6 months and therefore can be situated anywhere in the country. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only

$123,696—$254,667 USD

Our Commitment To Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. #J-18808-Ljbffr Pinterest