AI Systems Architect role involves designing, developing, and deploying sophisticated AI solutions tailored to our wealth management platform. The ideal candidate will possess a strong background in fintech, artificial intelligence, and software engineering, with specific expertise in multi-agent systems and RAG pipelines. Key responsibilities include creating and orchestrating multi-agent systems, designing and implementing RAG pipelines, and building knowledge-based systems that enhance decision-making and client service.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About The Company
Founded nearly 15 years ago, our organization is a leading technology-enabled wealth management platform dedicated to empowering independent financial advisory firms. Our mission is to enhance the service quality for high net worth and ultra-high net worth clients through an integrated suite of innovative software, comprehensive data solutions, and business services. We leverage cutting-edge technology to drive growth, efficiency, and client satisfaction, establishing ourselves as a trusted partner in the wealth management industry. Our company culture emphasizes innovation, collaboration, and continuous learning, fostering an environment where talented professionals can thrive and contribute to transforming the future of wealthtech.
About The Role
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Qualifications
The ideal candidate will possess a strong background in fintech, artificial intelligence, and software engineering, with specific expertise in multi-agent systems and RAG pipelines. Candidates should have extensive experience with Python programming and familiarity with AI orchestration tools such as n8n, Microsoft Co-Pilot Studio, LangChain, or LangGraph. Proven experience in designing and configuring vector databases like Pinecone, Weaviate, or Azure AI Search is essential. Additionally, candidates should have a solid understanding of prompt engineering, tuning, and optimization techniques. Knowledge of embedding creation, chunking strategies, and familiarity with databases and knowledge systems is required. A bachelor’s degree in Computer Science, Software Engineering, or a related field is necessary; a master's or higher qualification is preferred. Strong collaboration skills, innovative thinking, and a passion for leveraging AI to revolutionize wealth management are critical for success in this role.
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As an AI Systems Architect, you will be responsible for designing, developing, and deploying sophisticated AI solutions tailored to our wealth management platform. Your key responsibilities include creating and orchestrating multi-agent systems, designing and implementing RAG pipelines, and building knowledge-based systems that enhance decision-making and client service. You will collaborate with cross-functional teams, including data scientists, software developers, and product managers, to ensure seamless integration and optimal performance of AI components. Monitoring and safeguarding AI system performance, ensuring compliance with security and ethical standards, and continuously innovating to incorporate the latest advancements in AI technology will be integral parts of your role. Additionally, you will be tasked with configuring vector databases, creating embeddings, and applying chunking strategies to improve retrieval accuracy and efficiency. Your efforts will directly impact our ability to deliver cutting-edge AI-driven solutions that set us apart in the wealthtech industry.
Benefits
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Equal Opportunity
Jobot is an Equal Opportunity Employer. We are committed to creating an inclusive work environment that celebrates diversity and ensures all qualified candidates receive fair consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other protected characteristic under applicable federal, state, or local laws. We prohibit harassment and discrimination of any kind and adhere to all legal requirements concerning equal employment opportunity. Our policies promote fairness, respect, and opportunity for all employees and applicants, fostering a workplace where everyone can thrive and contribute to our shared success.
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