Senior AI Architect

Description

### **Take a look at the challenges awaiting you here at BV:** * Define agent architecture, considering scalability, modularity, interoperability, and security. * Determine the number of subagents required, based on the project's functional and technical objectives. * Select appropriate architectural patterns (e.g., microservices, event-driven, serverless). * Define acronyms and modules according to capability and alignment with BIAN. * Map the data required for agent context. * Map integration between the agent and systems, describing the necessary tools. * Define strategies for API consumption and exposure, including gateways. * Define access control mechanisms, encryption, and monitoring. * Gather and validate technical requirements (performance, availability, security, scalability). * Translate business requirements into technical specifications for development and data science teams. * Act as a bridge between technical and business areas, facilitating mutual communication and understanding. * Support other team members (engineers, data scientists, analysts) with architectural best practices. * Assess systemic impacts of changes to workflows. * Positively influence and promote adoption of robust architectural solutions. ### **The following requirements and knowledge will be important to us:** * Strong experience in architecture, API concepts, microservices, modularity, and messaging, as well as interpretation of architectural diagrams. * Understanding of security, versioning, and scalability. * Knowledge of AI agent/multi-agent architecture. * Familiarity with agent frameworks (e.g., Google ADK, LangChain...). * AI fundamentals: types of agents, ML pipelines, NLP, LLMs, RAG, context, embedding. * Model lifecycle: training, validation, deployment, monitoring. * Awareness of AI platforms and agent delivery processes (from development to production). * Principles of intelligent agent governance: accountability, traceability, transparency. * Modeling of agent and subagent roles and capabilities. * Definition of operational policies, ethical boundaries, and operational limits for agents. * Analyze complex scenarios and propose structured, scalable solutions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.