{"id":985983,"url":"https://alion.io/job/capital-group-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":704267,"name":"Capital Group","domain":"capitalgroup.com","url":"https://alion.io/company/capital-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":12,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":136749,"max":218798,"currency":"USD","period":"year","gross":null,"usd_annual":218798},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FinOps","optional":false},{"name":"IAM","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kong AI Gateway","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Agile","optional":true},{"name":"Anthropic","optional":true},{"name":"Claude","optional":true},{"name":"Gemini","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-30T00:11:56Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"“I can be myself at work.”\nYou 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.\nWe 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.\n“I can influence my income.”\nYou 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.\n“I can lead a full life.”\nYou 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.\nEnjoy generous time-away and health benefits from day one, with the opportunity for flexible work options\n\nReceive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love\n\nAccess on-demand professional development resources that allow you to hone existing skills and learn new ones\n\n“I can succeed as an AI Platform Engineer at Capital Group.”\nAs 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.\nYou 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.\nYou 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.\n“I am the person Capital Group is looking for”\nYou can build and maintain AI platform services:\nDesign, build, and operate enterprise AI platform capabilities supporting Generative AI, Retrieval-Augmented Generation (RAG), and agentic workloads.\nDevelop scalable data ingestion pipelines, knowledge ingestion workflows, and AI data services.\nIntegrate vector databases, embeddings, knowledge graphs, and enterprise knowledge repositories with appropriate governance controls.\nDesign and implement retrieval frameworks supporting enterprise search, semantic search, and RAG patterns.\nBuild and operate AI services using Amazon Bedrock, including foundation model integrations, Bedrock Knowledge Bases, Guardrails, and inference capabilities.\nDesign and support agentic architectures utilizing AWS AgentCore and other enterprise agent platforms.\nImplement model serving infrastructure for real-time and batch inference workloads.\nEnable secure agentic workflows through Model Context Protocol (MCP), tool orchestration frameworks, and agent-to-agent communication patterns.\nDesign 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.\nDevelop APIs, SDKs, reusable platform services, and self-service capabilities that accelerate AI adoption across engineering teams.\nYou ensure observability and responsible AI:\nMonitor model performance, application behavior, agent execution, and service reliability.\nImplement logging, tracing, alerting, rollback, and operational recovery mechanisms.\nMonitor AI usage patterns, token consumption, latency, throughput, and AI Gateway telemetry.\nImplement observability solutions that provide visibility into prompts, responses, model behavior, agent interactions, and platform health.\nApply explainability, fairness, governance, and compliance guardrails consistent with Responsible AI principles.\nSupport model evaluation, benchmarking, experimentation, and lifecycle management processes.\nYou have experience embedding security and compliance:\nDesign and implement secure AI platform architectures using cloud-native security controls.\nIntegrate encryption, IAM, secrets management, and audit logging capabilities.\nImplement secure access patterns through AI Gateway platforms including authorization, policy enforcement, prompt security controls, and data protection measures.\nSupport compliance with regulatory and internal governance frameworks, including privacy, security, and Responsible AI requirements.\nPartner with Information Security, Risk, Compliance, and Data Governance teams to ensure safe and compliant use of enterprise data and AI services.\nEnable governance for models, agents, prompts, tools, and enterprise knowledge sources.\nYou drive operational excellence:\nApply Site Reliability Engineering (SRE) practices to ensure reliability, scalability, and operational maturity.\nApply FinOps principles to optimize AI platform utilization, model consumption, and cloud spending.\nAutomate infrastructure provisioning and management using Infrastructure as Code (IaC).\nEstablish operational standards, platform runbooks, SLA/SLO metrics, and support procedures.\nDrive continuous improvements in platform security, performance, resiliency, and developer experience.\nYou collaborate and enable teams:\nPartner with software engineers, platform engineers, architects, and product teams to deliver enterprise AI solutions.\nConsult with application teams on AI platform integration patterns and best practices.\nCreate reference architectures, reusable patterns, and implementation guidance.\nDevelop documentation, runbooks, architectural diagrams, and operational standards.\nMentor team members and help promote adoption of enterprise AI platform capabilities.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.\n7+ years of experience designing, building, and operating distributed platform technologies or cloud-native systems.\n3+ years of experience building, operating, or supporting AI/ML platforms and services.\nHands-on experience with Amazon Bedrock and enterprise foundation model platforms.\nExperience designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, and enterprise knowledge sources.\nExperience building or operating agentic AI systems utilizing AWS AgentCore or comparable agent frameworks.\nExperience designing and implementing solutions based on Model Context Protocol (MCP).\nExperience implementing AI Gateway solutions (e.g., Kong AI Gateway or equivalent) for AI governance, traffic management, observability, and security.\nFamiliarity with agent orchestration frameworks, agent-to-agent communication patterns, and multi-agent architectures.\nStrong understanding of LLM operations including prompt engineering, model evaluation, guardrails, governance, and token optimization.\nProficiency in Python and/or other languages commonly used for AI and platform engineering.\nExperience with AWS cloud services, containerization, Kubernetes, and modern CI/CD practices.\nUnderstanding of observability, monitoring, and operational support for AI and agent-based systems.\nExperience implementing security, privacy, governance, and compliance controls in AI environments.\nPreferred Qualifications\nExperience in financial services or other highly regulated industries.\nAWS certifications related to AI, Machine Learning, Cloud Architecture, or Platform Engineering.\nExperience with Amazon Bedrock Knowledge Bases, Bedrock Guardrails, Agents for Bedrock, and AWS AgentCore services.\nExperience with Kong AI Gateway or comparable API and AI Gateway technologies.\nExperience implementing MCP servers, tool catalogs, and secure tool execution frameworks.\nExperience with enterprise multi-model strategies spanning Anthropic Claude, Amazon Nova, OpenAI, Google Gemini, and other foundation models.\nFamiliarity with AI-specific observability and monitoring platforms.\nExperience implementing Responsible AI frameworks, guardrails, explainability, and model governance processes.\nExperience with FinOps practices and cost optimization for Generative AI workloads.\nFamiliarity with Agile, DevSecOps, and platform engineering practices.\nExperience building enterprise self-service AI platforms and developer enablement capabilities.\n“I can apply in less than 4 minutes.”\nYou’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.\n“I can learn more about Capital Group.”\nAt 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.\nCharlotte Base Salary Range: $136,749-$218,798\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nIn 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.\nYou can learn more about our compensation and benefits here.\n* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.\nWe 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.","description_format":"text","description_chars":11773,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Professional development","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-14T02:00:51Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.413,"p_room":0.28,"age_days":79,"expected_fill_days":29,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":218798,"is_top_pay":true},"html_url":"https://alion.io/job/capital-group-ai-platform-engineer","json_url":"https://alion.io/job/capital-group-ai-platform-engineer.json","meta":{"generated_at":"2026-10-30T05:16:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7405,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":704267},"rest":"https://alion.io/mcp/rest/get_company?id=704267"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapital-group-ai-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcapital-group-ai-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcapital-group-ai-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/capital-group-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapital-group-ai-platform-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":985983}},{"tool":"search_jobs","arguments":{"company":"capitalgroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":985983},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}