Principal AI Architect
LPL Financial2 days ago
Austin, TX, USA or New York, NY, USAStaff+
Base Salary
$156k - $260k/yr
Responsibilities
- Own and evolve reference architectures for AI-enabled applications, AI workspaces, agent runtimes, data stores, and supporting services.
- Architect agent intent routing, context assembly, delegation, human-in-the-loop controls, user experiences, resilience, performance, and disaster recovery.
- Define integration with the enterprise AI control plane, including APIs and SDKs, gateway routing, policy enforcement, managed inference, audit logging, and cost attribution.
- Establish model, prompt, tool, and agent registry and lifecycle patterns, including version promotion and kill-switch capabilities.
- Lead AI product lifecycle governance, risk tiering, production readiness gates, evaluation standards, red-team practices, release evidence, and operational runbooks.
- Define AI security architecture covering identity, delegated authorization, least-privilege access, PII protection, content safety, and records retention.
- Lead LLMOps and AgentOps across versioning, deployment, monitoring, release management, FinOps, and continuous improvement.
- Run technology radar activities and proofs of concept for models, agent frameworks, gateways, and evaluation tooling.
- Mentor solution and software architects, influence roadmaps, and communicate architecture tradeoffs to product, engineering, risk, security, and compliance stakeholders.
Requirements
- 10+ years of experience in enterprise, platform, or software architecture involving distributed systems, cloud-native systems, or data-intensive systems.
- 2+ years architecting generative AI, agentic AI, or ML platforms from experimentation through regulated or enterprise production.
- 2+ years owning AI product lifecycle outcomes across governance, security, evaluation, and operations.
- 2+ years of hands-on experience with AI applications, agents, RAG, APIs, integrations, and technical proofs of concept, including the ability to review engineering code and designs.
- 7+ years of experience with cloud-native design, including microservices, APIs, event-driven patterns, containers/Kubernetes, IAM, observability, resilience, and performance.
- Preferred depth with AWS, EKS, Amazon Bedrock, API Gateway, IAM, PostgreSQL, DynamoDB, S3, and observability tooling.
- Familiarity with AI gateways, OpenAI-compatible inference APIs, tool calling, MCP, A2A, multi-agent orchestration, embeddings, and vector search.
- Experience in financial services or other highly regulated domains, including supervisory records, advice-related content controls, or entitlement-heavy systems.
- Knowledge of enterprise identity platforms, non-human identity for agents, and delegated authorization patterns.
- Proficiency in Python, Java, IaC, CI/CD, and DevSecOps, plus strong architecture documentation skills using C4, sequence and data-flow diagrams, and ADRs.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.
Benefits
- 401(k) matching, health benefits, employee stock options, paid time off, volunteer time off, and additional total-rewards benefits are offered.
- The posting does not state a remote, hybrid, or in-office work arrangement.
Tech Stack
Categories
About LPL Financial
LPL Financial is a public wealth management platform and the largest independent broker-dealer, providing brokerage, custody, clearing, research, and advisor technology to independent financial advisors and financial institutions. Its revenue comes from advisory and brokerage fees, commissions, and clearing and service fees across multiple affiliation models. Founded in 1989 and headquartered in San Diego, it trades on Nasdaq (LPLA) and supports more than 29,000 advisors and roughly 1,100 institutions nationwide.