| Urgent :: Requirement for AI Architect, San Francisco, California at San Francisco, California, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3179616&uid=536d1cd2351840818ffcc0abbebe82d8 From: Akhand Singh, Adventa Tech Inc [email protected] Reply to: [email protected] I hope you are doing great, Please let me know if you have any consultants on below requirement. Role: AI Architect Work location: San Francisco, California MOI: Skype Job Description: 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 Metas 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. ________________________________________ Key responsibilities Architect conversational AI solutions Define reference architectures and design patterns for conversational agents, multi turn dialogue systems, and task oriented assistants (including Manus style AI agents). Design Conversation with Data experiences that allow users to query, summarize, and act on internal or external datasets through natural language. Drive platform and integration strategy Architect scalable, secure, and low latency services for large scale conversational AI workloads (LLM orchestration, RAG, tool calling, memory, personalization). Integrate with Metas core platforms (messaging, ads, business tools, data stacks) and third party systems to deliver seamless conversational experiences. Lead technical design and standards Own architecture decisions for conversational AI services, including model selection, routing, caching, observability, and fallback strategies. Establish best practices for prompts, tooling, evaluation frameworks, and safety guardrails across conversational agents. Collaborate with cross functional teams Partner with product managers to translate business requirements into technical roadmaps for conversational AI and Conversation with Data features. Work with data scientists and ML engineers to design training, fine tuning, and evaluation pipelines for dialogue models and retrieval systems. Ensure reliability, performance, and governance Design for high availability, low latency, and cost efficient scaling of conversational AI workloads. Implement monitoring, logging, and A/B experimentation frameworks to continuously improve quality, safety, and user satisfaction. ________________________________________ Minimum qualifications Bachelors or Masters 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 Metas 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. " Key Responsibilities: "Key responsibilities Architect conversational AI solutions Define reference architectures and design patterns for conversational agents, multi turn dialogue systems, and task oriented assistants (including Manus style AI agents). Design Conversation with Data experiences that allow users to query, summarize, and act on internal or external datasets through natural language. Drive platform and integration strategy Architect scalable, secure, and low latency services for large scale conversational AI workloads (LLM orchestration, RAG, tool calling, memory, personalization). Integrate with Metas core platforms (messaging, ads, business tools, data stacks) and third party systems to deliver seamless conversational experiences. Lead technical design and standards Own architecture decisions for conversational AI services, including model selection, routing, caching, observability, and fallback strategies. Establish best practices for prompts, tooling, evaluation frameworks, and safety guardrails across conversational agents. Collaborate with cross functional teams Partner with product managers to translate business requirements into technical roadmaps for conversational AI and Conversation with Data features. Work with data scientists and ML engineers to design training, fine tuning, and evaluation pipelines for dialogue models and retrieval systems. Ensure reliability, performance, and governance Design for high availability, low latency, and cost efficient scaling of conversational AI workloads. Implement monitoring, logging, and A/B experimentation frameworks to continuously improve quality, safety, and user satisfaction " What are the Mandatory skills and skill proficiencies required for this position "Minimum qualifications Bachelors or Masters 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 Metas 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. Unfeigned Regards, Akhand Singh Adventa Tech Inc. Cell: +1 571 463 1138 E-Mail: [email protected] Website: www.adventatech.com | Disclaimer : This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] . Keywords: artificial intelligence machine learning user experience card bay area Urgent :: Requirement for AI Architect, San Francisco, California [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3179616&uid=536d1cd2351840818ffcc0abbebe82d8 |
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| 10:39 AM 03-Mar-26 |