[Hiring] Principal AI Architect @Brightside

Role Description

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 real-time 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.

What this role isn't!

• A governance role.
• An advisory role.
• A research role.
• A people-management role.
• An execution-oriented architecture role.

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.

Qualifications

• 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.

Requirements

• 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.