AI Platform Engineer

About this role

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.  

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.    “I can influence my income.”    You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.    “I can lead a full life.”    You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options 

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love 

• Access on-demand professional development resources that allow you to hone existing skills and learn new ones 

“I can succeed as an AI Platform Engineer at Capital Group.”

As an AI Platform Engineer, you will design, build, and operate the foundational components of Capital Group’s enterprise AI platform, enabling secure, scalable, and responsible development and deployment of advanced AI and agentic solutions. You will work across the full AI platform stack, from data ingestion and vector databases to retrieval systems, orchestration frameworks, agent platforms, and developer-facing APIs, enabling teams to rapidly deliver innovative AI-powered business capabilities.

You will collaborate with security, FinOps, platform engineering, data engineering, and application teams to deliver enterprise-grade AI capabilities that are secure, observable, and cost efficient. Your work will span cloud-native AI services, agentic architectures, orchestration frameworks, and responsible AI guardrails. You will play a critical role in designing and implementing solutions based on Model Context Protocol (MCP), enterprise AI Gateway patterns, and modern agent platforms including Amazon Bedrock and AWS AgentCore.

You will help establish the enterprise standards for model access, agent execution, governance, observability, and cost optimization while enabling a multi-model AI ecosystem through AI Gateway technologies such as Kong AI Gateway and similar enterprise platforms.

“I am the person Capital Group is looking for”

You can build and maintain AI platform services:

• Design, build, and operate enterprise AI platform capabilities supporting Generative AI, Retrieval-Augmented Generation (RAG), and agentic workloads. • Develop scalable data ingestion pipelines, knowledge ingestion workflows, and AI data services. • Integrate vector databases, embeddings, knowledge graphs, and enterprise knowledge repositories with appropriate governance controls. • Design and implement retrieval frameworks supporting enterprise search, semantic search, and RAG patterns. • Build and operate AI services using Amazon Bedrock, including foundation model integrations, Bedrock Knowledge Bases, Guardrails, and inference capabilities. • Design and support agentic architectures utilizing AWS AgentCore and other enterprise agent platforms. • Implement model serving infrastructure for real-time and batch inference workloads. • Enable secure agentic workflows through Model Context Protocol (MCP), tool orchestration frameworks, and agent-to-agent communication patterns. • Design and implement AI Gateway capabilities using technologies such as Kong AI Gateway to provide centralized authentication, routing, governance, observability, rate limiting, and policy enforcement for AI workloads. • Develop APIs, SDKs, reusable platform services, and self-service capabilities that accelerate AI adoption across engineering teams.

You ensure observability and responsible AI:

• Monitor model performance, application behavior, agent execution, and service reliability. • Implement logging, tracing, alerting, rollback, and operational recovery mechanisms. • Monitor AI usage patterns, token consumption, latency, throughput, and AI Gateway telemetry. • Implement observability solutions that provide visibility into prompts, responses, model behavior, agent interactions, and platform health. • Apply explainability, fairness, governance, and compliance guardrails consistent with Responsible AI principles. • Support model evaluation, benchmarking, experimentation, and lifecycle management processes.

You have experience embedding security and compliance:

• Design and implement secure AI platform architectures using cloud-native security controls. • Integrate encryption, IAM, secrets management, and audit logging capabilities. • Implement secure access patterns through AI Gateway platforms including authorization, policy enforcement, prompt security controls, and data protection measures. • Support compliance with regulatory and internal governance frameworks, including privacy, security, and Responsible AI requirements. • Partner with Information Security, Risk, Compliance, and Data Governance teams to ensure safe and compliant use of enterprise data and AI services. • Enable governance for models, agents, prompts, tools, and enterprise knowledge sources.

You drive operational excellence:

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