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Salary
≈ $219k – $423k per year (Estimated)
Location
In office (Seattle)
Seniority
Architect · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Mar 6, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Business Engineering is looking for impact-driven, entrepreneurial solutions architects ready to drive projects from ideation to implementation and beyond. We are AI and technology experts that apply our technical skills to bring a unique blend of business and technology expertise to ensure our partners succeed. Our team is at the intersection of business and AI innovation where you will operate similarly to a Forward-Deployed Solutions Architect by solving real-world business challenges with game-changing AI technology that impacts businesses and consumers across the world.

You will deliver specialized, customer-embedded technical expertise, bridging the gap between sales and engineering. You will work alongside leading industry executives to turn complex customer needs into scalable, AI-powered products that accelerate business growth. This role lets you apply your passion for customers, engineering, and problem-solving to delivering real-world results at Meta scale. Our Business Engineering team is at the forefront of the AI frontier - and we're just getting started.

Responsibilities

Contribute to building next-gen AI products and prototypes in collaboration with Meta product engineering teams and cross functional partners to meet business needs Understand business challenges to define and drive strategies to help businesses grow at scale Use broad range of technical and soft skills to build productive relationships with our partners, and independently resolve complex technical and business needs Work closely with sales teams to unlock and develop new opportunities by developing an understanding on business goals and industry trends Influence the AI industry through technology by participating in industry conferences and presenting to executive-level audience Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale Break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals Build relationships with team members and cross functional partners Influence decision-making through presentation of data-centric business topics Participate in interviewing and on-boarding of new team members

Qualifications

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 Experience with scalable software platforms applications and taking products from zero-to-one to a level of maturity Experience with web, mobile, or enterprise technology stack Experience communicating with technical and business audience at prospects or clients Experience working with LLMs, agentic AI, and/or related AI/ML technologies Experience working in highly collaborative, dynamic, and ambiguous environments Experience demonstrating knowledge of industry technology areas and trends 4+ years of experience working with software systems including querying, SQL scripting, and working with API development 5+ years of combined experience as an Engineer, Solutions Architect, Technical Consultant, or Partner/Sales Engineer Willingness to travel up to 25% of the time Fluency in English, both verbal and written, is required Experience working in a startup or similar early stage company Knowledge of the AI, advertising, and social media landscape globally Experience working with enterprise customers and B2B GTM motion Experience with agile software development methodologies Experience working with global teams Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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