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:
Apply Site Reliability Engineering (SRE) practices to ensure reliability, scalability, and operational maturity.
Apply FinOps principles to optimize AI platform utilization, model consumption, and cloud spending.
Automate infrastructure provisioning and management using Infrastructure as Code (IaC).
Establish operational standards, platform runbooks, SLA/SLO metrics, and support procedures.
Drive continuous improvements in platform security, performance, resiliency, and developer experience.
You collaborate and enable teams:
Partner with software engineers, platform engineers, architects, and product teams to deliver enterprise AI solutions.
Consult with application teams on AI platform integration patterns and best practices.
Create reference architectures, reusable patterns, and implementation guidance.
Develop documentation, runbooks, architectural diagrams, and operational standards.
Mentor team members and help promote adoption of enterprise AI platform capabilities.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
7+ years of experience designing, building, and operating distributed platform technologies or cloud-native systems.
3+ years of experience building, operating, or supporting AI/ML platforms and services.
Hands-on experience with Amazon Bedrock and enterprise foundation model platforms.
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, and enterprise knowledge sources.
Experience building or operating agentic AI systems utilizing AWS AgentCore or comparable agent frameworks.
Experience designing and implementing solutions based on Model Context Protocol (MCP).
Experience implementing AI Gateway solutions (e.g., Kong AI Gateway or equivalent) for AI governance, traffic management, observability, and security.
Familiarity with agent orchestration frameworks, agent-to-agent communication patterns, and multi-agent architectures.
Strong understanding of LLM operations including prompt engineering, model evaluation, guardrails, governance, and token optimization.
Proficiency in Python and/or other languages commonly used for AI and platform engineering.
Experience with AWS cloud services, containerization, Kubernetes, and modern CI/CD practices.
Understanding of observability, monitoring, and operational support for AI and agent-based systems.
Experience implementing security, privacy, governance, and compliance controls in AI environments.
Preferred Qualifications
Experience in financial services or other highly regulated industries.
AWS certifications related to AI, Machine Learning, Cloud Architecture, or Platform Engineering.
Experience with Amazon Bedrock Knowledge Bases, Bedrock Guardrails, Agents for Bedrock, and AWS AgentCore services.
Experience with Kong AI Gateway or comparable API and AI Gateway technologies.
Experience with enterprise multi-model strategies spanning Anthropic Claude, Amazon Nova, OpenAI, Google Gemini, and other foundation models.
Familiarity with AI-specific observability and monitoring platforms.
Experience implementing Responsible AI frameworks, guardrails, explainability, and model governance processes.
Experience with FinOps practices and cost optimization for Generative AI workloads.
Familiarity with Agile, DevSecOps, and platform engineering practices.
Experience building enterprise self-service AI platforms and developer enablement capabilities.
"I can apply in less than 4 minutes."
You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.
"I can learn more about Capital Group."
At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.
Charlotte Base Salary Range: $136,749-$218,798
In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.
You can learn more about our compensation and benefits here.
* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.
We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and 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.
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About the role
This is a Senior Level role in the Technology field (Data, analytics and AI) at Capital Group. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Does the pay work here? (estimate)
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
How to prepare and behave
This is editorial guidance, not information from the employer.
Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.
The job is in Charlotte, NC. Below is what the official statistics say about living and working there.
How Charlotte compares. Among the 100 largest places in North Carolina, Charlotte is #1 by population, #9 for remote work (#1 = most), #77 for rent (#1 = cheapest), #72 for homeownership (#1 = highest). Its county, Mecklenburg County, is #2 of 100 counties for average pay ($88,111).
The place in numbers
Charlotte has 903,844 residents (ACS 2020–2024), about 8.4% of the population of North Carolina. It covers 312 square miles of land, which works out to roughly 2,901 people per square mile. The median age is 34.5, 12% younger than the state median (34.5 against 39.1).
Housing
The median gross rent is $1,612 a month (rent plus utilities), 31% above the state median ($1,612 against $1,228). Over a year that is 23.6% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $385,700, which is 4.7 times the median household income ($82,068). 51.0% of households own their home, 23% below the state average (51.0% against 66.6%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
Work and pay
The Charlotte-Concord-Gastonia, NC-SC metropolitan area has 1,358,370 jobs in the BLS wage survey, and the median pay across all occupations is $49,990 a year, about the same as the national median ($49,990 against $50,980). The biggest occupation groups are office and administrative support (146,340 jobs, median $47,210); transportation and material moving (142,580 jobs, median $40,550); sales and related (139,760 jobs, median $40,880). The area is most specialised in computer and mathematical (1.4 times) and business and financial operations (1.3 times), where the share of workers is above the national share. The best-paying groups with at least 5,000 jobs are management ($133,220) and computer and mathematical ($120,930). In 2026M09 the unemployment rate of Mecklenburg County was 3.3%. 72.4% of residents aged 16 and over are in the labour force. The city lies in Mecklenburg County; its jobs, pay by industry and GDP are on the county page.
Getting around
Among workers, 57.4% drive alone, 1.9% use public transit, 1.7% walk, 28.8% work from home. 10.6% of workers commute 45 minutes or more, 24% below the state average (10.6% against 13.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
People and education
48.0% of adults aged 25 and over hold a bachelor's degree or higher, 35% above the state share (48.0% against 35.6%). 18.7% of residents were born outside the United States, 106% above the state share (18.7% against 9.1%). The poverty rate is 11.7%, 10% below the state rate (11.7% against 13.0%).
Climate
The warmest month is Jul, averaging 81°F (27.1°C), and the coolest is Jan at 40°F (4.4°C). About 1,146 mm (45 inches) of precipitation falls in a year; Jul is the wettest month (112 mm) and Jan the driest (80 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Nearby cities to compare
Closest cities in this guide: Pineville (9 miles, rent 4% lower); Matthews (9 miles, rent 9% higher); Mint Hill (10 miles, rent 5% lower); Stallings (12 miles, rent 17% higher). Rent differences are against Charlotte; use the Compare tab to put any two cities side by side.
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Places within 50 miles (straight line) of Charlotte, NC that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
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What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".
What is the AI Platform Engineer job at Capital Group?
A senior level role in technology (data, analytics and ai) listed 88 days ago. The full description is on this page and on The Muse.
Where is this job?
Charlotte, NC.
How do I apply?
Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.
How much does it pay?
The listing does not publish pay, and we could not match the title to one official occupation.
What is the cost of living there?
Median rent in Charlotte is $1,612 a month and median household income $82,068 (ACS 2020–2024).
How old is this listing?
It was posted on 2026-08-12 (88 days ago). Jobs older than 90 days are not shown.
Are there similar jobs?
Yes: browse data, analytics and ai jobs in North Carolina.
Sources and terms
Job data: The Muse public API (listing dated 2026-08-12). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.
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