Role: AI Architect
Location Bay Area – Onsite
Contract
$54/hr on c2c
Location Bay Area – Onsite
Contract
$54/hr on c2c
Role overview
We are looking for an experienced AI Architect to design and drive the next generation of AI powered conversational experiences at Meta. In this role, you will focus on building and scaling conversational agents, Manus style AI assistants, and “Conversation with Data” capabilities that help people and businesses interact with Meta’s products in natural, intelligent, and data driven ways. You will own the end to end architecture, from high level patterns to platform level integrations, while collaborating closely with product, engineering, data science, and UX teams.
What are the Mandatory skills and skill proficiencies required for this position?
“Minimum qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, systems architecture, or AI/ML engineering. • 4+ years of hands on experience designing and deploying production AI/ML systems, preferably with LLMs, dialogue systems, or conversational agents. • Strong experience with: • Cloud platforms (e.g., AWS, GCP, or Meta’s internal infrastructure). • Microservices, APIs, and distributed systems. • Python, Java, or similar languages.
• Demonstrated ability to lead architecture discussions, present technical designs to senior stakeholders, and influence cross team decisions.
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Preferred qualifications
• Experience building or operating enterprise grade conversational assistants, chatbots, or AI powered agents at scale.
• Hands on experience with RAG, tool using agents, multi agent systems, and Conversation with Data patterns.
• Familiarity with Manus style AI assistants or similar agent frameworks (e.g., Auto GPT like patterns, agent tool orchestration).
• Knowledge of safety, moderation, and compliance requirements for public facing conversational AI.
• Experience working in fast paced product environments such as Meta, Google, or other large scale consumer platforms.
“Minimum qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, systems architecture, or AI/ML engineering. • 4+ years of hands on experience designing and deploying production AI/ML systems, preferably with LLMs, dialogue systems, or conversational agents. • Strong experience with: • Cloud platforms (e.g., AWS, GCP, or Meta’s internal infrastructure). • Microservices, APIs, and distributed systems. • Python, Java, or similar languages.
• Demonstrated ability to lead architecture discussions, present technical designs to senior stakeholders, and influence cross team decisions.
________________________________________
Preferred qualifications
• Experience building or operating enterprise grade conversational assistants, chatbots, or AI powered agents at scale.
• Hands on experience with RAG, tool using agents, multi agent systems, and Conversation with Data patterns.
• Familiarity with Manus style AI assistants or similar agent frameworks (e.g., Auto GPT like patterns, agent tool orchestration).
• Knowledge of safety, moderation, and compliance requirements for public facing conversational AI.
• Experience working in fast paced product environments such as Meta, Google, or other large scale consumer platforms.
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