AI Platform Engineer Lead

Role Overview As a Lead AI Platform Engineer at Capital Group, you will serve as a technical subject‑matter expert and lead workstreams to design, build, and operate the foundational components of our enterprise AI platform. Your work spans the full stack—from data ingestion and vector databases to orchestration, agent frameworks, and user‑facing APIs—empowering teams to deliver innovative AI‑powered experiences securely and at scale. Responsibilities Design and implement data ingestion pipelines, feature stores, and ML workflows. Integrate vector databases, knowledge graphs, and model registries with governance. Automate ML‑Ops pipelines for training, evaluation, and deployment. Design model serving infrastructure for real‑time and batch inference and orchestrate agentic workflows using modular, extensible frameworks. Enable agentic workflows and secure connectivity using Model Context Protocol (MCP) and AI Gateway patterns. Integrate with agent orchestrators and support agent‑to‑agent communication protocols. Ensure observability and responsible AI: monitor model performance, data quality, and lineage; implement logging, alerting, and rollback mechanisms; apply explainability, fairness, and compliance guardrails. Embed security and compliance: integrate encryption, IAM, and audit logging; support compliance with regulatory and internal policies (e.g., GDPR, SOC2, Responsible AI frameworks); champion security, privacy, and regulatory adherence with InfoSec. Apply SRE and FinOps practices for reliability and cost optimization; set best practices for infrastructure automation and scalability. Lead cross‑functional workstreams with data scientists and ML engineers to deliver platform solutions; develop APIs, SDKs, and self‑service tools for rapid experimentation. Produce clear documentation, runbooks, and architectural diagrams. Required Qualifications Bachelor’s degree in computer science, engineering, or a related technical field—or relevant experience. 8+ years of leading general platform technology build experience or large, distributed systems with the ability to drive architectural decisions and influence platform strategy. 3+ years of experience building and operating AI/ML platforms. Hands‑on experience with MLOps tools and ML frameworks. Experience with vector databases and knowledge graph technologies. Proven experience leading technical teams and delivering enterprise‑scale AI/ML platforms. Experience with agentic AI frameworks and orchestration tools. Proficiency in designing and implementing solutions based on MCP and AI Gateway patterns. Programming experience in Python and/or other languages commonly used in AI/ML engineering. Experience with cloud platforms and container orchestration. Understanding of AI observability, model monitoring, and responsible AI practices. Experience implementing security, privacy, and compliance controls in AI/ML environments. Preferred Qualifications Experience in regulated industries (e.g., financial services) and navigating governance, risk, and compliance for AI. Familiarity with AI‑specific observability tools. Experience with agent orchestrators, agent‑to‑agent communication, and multi‑agent systems. Exposure to AI guardrails and responsible AI frameworks (e.g., explainability, bias detection). Experience with cost optimization and FinOps for AI/ML workloads. Familiarity with Agile and DevSecOps practices in AI/ML environments. Experience defining platform roadmaps and aligning with business objectives. Benefits & Compensation Base Salary Range (Charlotte): $153,842 – $246,147. In addition to a competitive base salary, you will be eligible for an individual annual performance bonus, Capital’s annual profitability bonus, and a retirement plan with a 15% company contribution to your eligible earnings. The role offers a comprehensive benefits package including health benefits, generous time‑away, paid parental leave, flexible work options, and 2‑for‑1 matching gifts for charitable contributions. Equal Employment Opportunity We are an equal‑opportunity employer. Capital Group complies with all federal, state, and local laws that prohibit discrimination in employee hiring, promotion, or termination. Discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender identity, pregnancy, childbirth, and related medical conditions), age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault, or stalking, or any other characteristic protected by federal, state, or local law is prohibited. #J-18808-Ljbffr