Solutions Architect

Summary: As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's solutions and even defining new solutions. You will work with companies on their identity and advertising initiatives, translating their business goals into an execution plan using Meta's suite of cutting-edge advertising platforms. This role will allow you to apply your passion for problem solving to achieving real-world marketing results at Meta scale. Required Skills: Solutions Architect Responsibilities: 1. Understand business challenges to define and drive strategies to help businesses onboard enterprise solutions 2. Use broad range of technical and soft skills to build productive relationships with our partners, and esolve complex technical and business needs 3. Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale 4. Break down coding projects into tasks and partner with all

applicable teams and partners to meet pre-established goals 5. Build relationships with team members and cross functional partners 6. Influence decision-making through presentation of data-centric business topics 7. Participate in interviewing and on-boarding of new team members Minimum Qualifications: Minimum Qualifications: 8. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. Experience working with Enterprise Identity Management platforms, SSO alongside SaaS systems. Experience with SAML/SCIM 10. Technical background allowing to understand and advise on enterprise architecture, cloud systems, security, and integration. Identity and access management (IAM) expertise 11. Experience communicating with technical and business audience at prospects or clients 12. Experience working in highly collaborative and ambiguous environments 13. Experience demonstrating knowledge of industry technology areas and trends Preferred Qualifications: Preferred Qualifications: 14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 15. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Industry: Internet