Principal Architect – AI

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🕒 Setembro 16

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 11%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of BrightSide

BrightSide

51 - 200 funcionários

Fundada em 2010

💼 Consultoria

📦 Logística

🎯 Recrutamento

Consulting • Logistics • Recruitment

A BrightSide é uma empresa argentina de consultoria em SAP e alocação de profissionais de TI que ajuda organizações a formar e expandir equipes de projeto de tecnologia, fornecendo talentos especializados e sêniores de TI, além de oferecer serviços completos em SAP. Eles oferecem aumento de equipe de TI, recrutamento e seleção, atribuições remotas ou presenciais, e diversos serviços SAP, incluindo implementações e migrações para S/4HANA, desenvolvimento em ABAP e Fiori/UI5, integrações, BASIS e segurança em SAP, além de planos de suporte e manutenção. A BrightSide foca na entrega rápida, modelos de contratação flexíveis e suporte de longo prazo para clientes corporativos.

Descrição

• Own the design and build of Brightside’s AI agent platform • Design and own the multi-agent orchestration layer, including session supervisor, domain clusters, escalation arbiter, and conversation manager • Define agent routing logic, context sharing, tool use, and latency budgets across 18+ agents • Architect the real-time pipeline from Amazon Connect through Contact Lens, Kinesis, Lambda, Bedrock, and WebSocket push to the Financial Assistant panel • Own dual-mode agent architecture for human-assisted coaching and autonomous client conversations • Define model selection and routing across low-latency and reasoning-intensive agent tiers • Govern prompt architecture, including structured agent prompt standards, runtime domain knowledge injection, and conditional output formatting • Build and own the evaluation harness for schema validation, behavioral regression testing, and latency profiling • Design the domain knowledge base across 8 domains and 49 use case types • Own the AI platform data model for client financial profiles, cases, goals, options, outcomes, and financial impact measurement • Architect the CRM synchronization layer, including real-time field writes after Financial Assistant confirmation and human correction logging • Define canonical data models across clients, employers, financial products, and outcomes • Ensure data integrity across Aurora PostgreSQL and Aurora MySQL • Own AWS Bedrock-native inference infrastructure, including asynchronous invocations, Knowledge Bases, and RAG pipelines • Design the session state layer using ElastiCache Redis and DynamoDB • Define AI governance standards for model evaluation, monitoring, explainability, and compliance • Evaluate and guide decisions on model providers, orchestration frameworks, and platform tooling • Work directly alongside Jacky Chiu and the engineering team to architect and ship production systems • Debug Bedrock invocations, profile latency spikes, and review schema changes

🎯 Requisitos

• 10+ years in software engineering or systems architecture, with significant hands-on experience in the last 3 years • Production experience building real-time AI systems operating on a per-turn, sub-second latency budget • Hands-on experience with Amazon Bedrock, AWS Lambda, and Kinesis • Multi-agent system design experience, including orchestration patterns, agent handoff, context sharing, and structured output validation • Strong data architecture foundation, including relational modeling, event-driven systems, and CRM data patterns • Experience in a regulated environment such as fintech, financial services, or healthcare, with understanding of privacy and compliance requirements • Comfortable operating in a small, fast-moving team where you design and build • Experience building voice or conversation intelligence systems • Hands-on experience with Amazon Connect and Contact Lens • Background in conversational AI product companies such as Cresta, Observe.AI, Cogito, Replicant, or similar • Experience with LLM prompt engineering at a systems level, including eval harnesses, versioned prompt governance, and regression testing • Prior experience as a lead architect at a Series B-D company • Comfortable forming, explaining, and updating technical opinions • Oriented toward production outcomes • Comfortable debugging Bedrock invocations, profiling latency spikes, and reviewing schema changes • Able to balance experimentation with rigor in a regulated fintech environment

🏖️ Benefícios

• Inspiring careers • Great life/work balance • Meaningful work with direct impact on working families • Opportunity to see a growing start-up from the inside out

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