Principal Architect – AI

Job not on LinkedIn

🕒 September 16

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BrightSide

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

BrightSide is an Argentina-based IT staffing and SAP consulting company that helps organizations build and augment technology project teams by sourcing senior, specialized IT talent and providing end-to-end SAP services. They offer IT staff augmentation, recruiting and hunting, on-site or remote assignments, and various SAP services including implementations and migrations to S/4HANA, ABAP and Fiori/UI5 development, integrations, SAP BASIS and security, and packaged support and maintenance plans. BrightSide focuses on rapid delivery, flexible engagement models, and long-term support for enterprise clients.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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