Solutions Architect, Business Agents
at Meta
Location
Seattle, WA; New York, NY; San Francisco, CA
Compensation
$130k–$185k USD
Type
full time
Posted
7 months ago
Market range · company + function + seniority
p25 · target · p75 · n=20
Posted $185k · in the market band
Posting health
Aging · 65- ·Open 234 days
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Job description
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
Minimum 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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