Principal Architect (AI)

We are looking for a Principal AI Architect to own the design and build of Brightside’s AI agent platform. This is a senior, hands on role. You will work directly alongside Jacky Chiu and the engineering team to architect and ship production systems, not design from a distance. The core system you will build is a realtime agent layer that listens to live conversations between Financial Assistants and clients, understands what is happening turn by turn, surfaces intelligent coaching to the FA in under 2 seconds, and writes structured data back to the CRM. As the​ platform matures, this same agent layer will conduct client conversations autonomously.

We value personal connection. To fast-track your application, please email talent@gobrightside.com directly. In your email, please include one sentence about why this specific role caught your eye!

What this role isn't!
A governance role. An advisory role. A research role. Or a people-management role. It is an execution oriented architecture role. You will design it and help build it.

What You Will Own
Real-Time Agent Architecture

• Design and own the multi-agent orchestration layer - 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: Amazon Connect → Contact Lens → Kinesis → Lambda → Bedrock → WebSocket push to FA panel
• Own the dual-mode agent architecture: human-assisted mode (agent coaches the FA) and autonomous mode (agent conducts the client conversation directly)

LLM Systems & Prompt Engineering Governance

• Define model selection and routing across low-latency and reasoning-intensive agent tiers
• Govern the prompt architecture: structured agent prompt standards, runtime domain knowledge injection, and conditional output formatting across delivery surfaces
• Build and own the eval harness - schema validation, behavioral regression testing, latency profiling
• Design the domain knowledge base structure across the full financial use case library - 8 domains, 49 use case types

Data Architecture & CRM Integration

• Own the data model underlying the AI platform: client financial profiles, cases, goals, options, outcomes, and financial impact measurement
• Architect the CRM sync layer - real-time field writes after FA confirmation, human correction logging as training signal
• Define canonical data models across clients, employers, financial products, and outcomes
• Ensure data integrity across Aurora PostgreSQL (new CRM) and Aurora MySQL (existing platform)

AI Infrastructure & Platform

• Own the AWS Bedrock-native inference infrastructure - async invocations, Knowledge Bases, RAG pipelines
• Design the session state layer: ElastiCache Redis for hot state, DynamoDB for durable session records
• Define AI governance standards: model evaluation, monitoring, explainability, and compliance in a regulated fintech environment
• Evaluate and guide decisions on model providers, orchestration frameworks, and platform tooling

What We’re Looking For
Required

• 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 - specifically systems that operate on a per-turn, sub-second latency budget
• Hands-on experience with Amazon Bedrock, AWS Lambda, and Kinesis - not just familiarity, but have hit their limits and worked around them
• Multi-agent system design experience - orchestration patterns, agent handoff, context sharing, structured output validation
• Strong data architecture foundation - relational modeling, event-driven systems, CRM data patterns
• Experience in a regulated environment (fintech, financial services, or healthcare) with an understanding of privacy and compliance requirements
• Comfortable operating in a small, fast-moving team where you design and build - not just review and approve

Strong Advantage

• Experience building voice or conversation intelligence systems (contact center AI, real-time transcription pipelines, live agent coaching tools)
• Hands-on experience with Amazon Connect and Contact Lens
• Background in conversational AI product companies (Cresta, Observe.AI, Cogito, Replicant, or similar)
• Experience with LLM prompt engineering at a systems level - eval harnesses, versioned prompt governance, regression testing
• Prior experience as a lead architect at a Series B-D company where you were one of a small number of senior technical voices

How You’ll Work

• Hands-on and opinionated - you form views, explain them clearly, and update them when wrong
• Oriented toward production outcomes, not theoretical elegance
• Comfortable saying no to poor architectural decisions and explaining why
• Willing to be in the weeds - debugging a Bedrock invocation, profiling a latency spike, reviewing a schema change
• Balancing experimentation with rigor in a regulated fintech environment