Principal AI Architect

Location: Fort Mill/Charlotte, New York, or Austin, United States

Pay range: $155,942.00–$259,869.00 annual base salary

Company

hirify.global is a U.S. wealth management firm providing financial advisors and institutions with investment solutions, fintech tools, affiliation models, and practice management services.

What you will do

• Define and evolve reference architectures for AI-enabled applications, advisor-facing workspaces, agent runtimes, data stores, and supporting services.
• Design durable conversational and non-conversational user experiences, intent routing, context assembly, agent delegation, human-in-the-loop controls, streaming, error recovery, and performance requirements.
• Architect the enterprise AI control plane, including gateways, APIs and SDKs, policy enforcement, managed inference, audit logging, cost attribution, registries, lifecycle states, and kill-switch capabilities.
• Establish AI product lifecycle governance, risk tiers, production readiness gates, evaluations, red-team standards, release evidence, operational runbooks, and onboarding playbooks.
• Define security, identity, authorization, PII protection, content safety, records retention, evaluation, observability, LLMOps, AgentOps, and AI FinOps standards.
• Lead technology radar activities, proofs of concept, reference implementations, architecture reviews, roadmap input, and mentoring for architects and engineering teams.

Requirements

• 10+ years of experience in enterprise, platform, or software architecture, including distributed systems, cloud-native, 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 in addition to models.
• 2+ years of hands-on experience with AI applications, agents, RAG, APIs, integrations, and technical proofs of concept, including reviewing code and designs with engineering teams.
• 7+ years of strong cloud-native experience with microservices, APIs, event-driven patterns, containers/Kubernetes, IAM, observability, resilience, and performance.

Nice to have

• Experience with AWS, including EKS, Amazon Bedrock, API Gateway, IAM, PostgreSQL, DynamoDB, S3, and observability tooling.
• Experience with AI gateways and OpenAI-compatible inference APIs.
• Familiarity with 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, infrastructure as code, CI/CD, DevSecOps, and architecture documentation using C4, sequence and data-flow diagrams, and ADRs.
• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.

Culture & Benefits

• Full-time role in a collaborative, team-oriented environment focused on innovation, continuous improvement, integrity, and client outcomes.
• Benefits include 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
• Employment location is in Fort Mill/Charlotte, New York, or Austin, Texas.

Hiring process

• Apply by logging in or creating an account; principals only.
• LPL communicates with applicants only from an @lplfinancial.com email address and does not conduct interviews through online chatroom forums.
• Applicants will not be asked to pay or provide bank or credit card information during the interview process.