Capital Group

Machine Learning Engineer

• Create, research, implement, and maintain state-of-the-art machine learning models and data pipelines
• Conduct applied research into financial modeling for investment professionals
• Collaborate with senior investment professionals and technology associates
• Uphold high standards of quality ensuring integrity in both form and function
• Collaborate effectively to contribute to decisions regarding modeling and technology

Machine Learning Engineer II

Security Engineer

• Deploy, configure, and maintain enterprise Data Loss Prevention (DLP) platforms
• Create and tune DLP policies to prevent unauthorized data exfiltration
• Automate security controls using scripting and infrastructure-as-code
• Ensure operational stability of the DLP platform by monitoring performance and troubleshooting issues
• Support incident response efforts and collaborate with threat detection teams
• Tune policies based on detection patterns and refine playbooks

Security Engineer – Data Loss Prevention

Account Manager

• Deliver Capital Group’s enterprise value proposition to AI partner firms
• Drive strategic leadership meetings to advance mutual innovation agendas
• Communicate Capital Group’s AI and enterprise strategy to partner firms
• Align with partner executives to drive a shared roadmap and strategic priorities
• Capture and relay key partner insights and feedback to internal stakeholders
• Identify and support new business and co-innovation opportunities with AI firms
• Develop and maintain enterprise-wide account plans and engagement roadmaps
• Prepare executive briefings and talking points for senior-level engagements
• Track and report on partnership health, value metrics, and follow-ups

Enterprise Client Relationship Manager

Designer

• Lead the global workplace design function within Global Real Estate
• Oversee the development and governance of design principles, standards, and guidelines
• Partner with various teams to align workplace designs with culture, brand expression and sustainability goals
• Provide design leadership across the capital project lifecycle
• Translate business requirements into effective design outcomes

Global Workplace Design Senior Manager

Security Operations

• Lead enterprise-scale Identity & Access Management (IAM) operations and governance
• Drive consistent, resilient, and audit-ready security outcomes
• Establish and scale a repeatable operating model for IAM outcomes across regions
• Ensure enterprise IAM governance processes are executed consistently
• Partner with Risk, Audit, and Compliance teams
• Execute IAM modernization initiatives including workflow automation

Senior Manager, Information Security Operations

DevOps Engineer

• Support, secure, manage, and deploy solutions that secure the software delivery lifecycle for enterprise applications
• Simplify automation that applies security inter-workings with CI/CD pipelines
• Build relationships with developers, stakeholders and scrum master’s to incorporate security principles into engineering design and deployments
• Supervise testing and validation in application security controls
• Oversee implementation of defensive practices and countermeasures across infrastructure and applications
• Draft and uphold CI/CD security strategy and practices
• Serve as a point of contact for security-based escalations
• Build services and tools to enable developers to easily use security components

Senior DevSecOps Engineer

• Represent Capital’s Institutional Investment Services to the largest institutional corporate and public defined benefit and defined contribution plans
• Facilitate prospecting for opportunities and opportunity maintenance throughout the sales cycle
• Support early‑stage relationship development within a defined subset of prospects
• Create and maintain meaningful relationships through targeted outreach and follow-up engagement
• Partner with Business Development Managers (BDMs) on strategy, messaging, and prioritization
• Conduct effective meetings with external and internal contacts as needed
• Present strategies to clients and prospects and coordinate all sales opportunities

Associate Relationship Manager

• Architect and operate end-to-end production AI systems
• Develop production-grade cloud-native environments optimized for AI/ML model training
• Establish and evangelize engineering standards for AI services
• Design scalable inference pipelines
• Build agentic systems with multi-step reasoning
• Apply advanced prompt engineering to deliver reliable LLM-powered features
• Build solutions on Databricks and AWS
• Embed data lineage, access controls, audit trails, and responsible AI practices into systems
• Partner with product, business, and data teams

Senior Machine Learning Engineer

Sales

• Partnering with sales teams to meet with clients both virtually and in-person
• Driving advisor meeting coordination
• Expanding ETF/SMA adoption
• Leading internal and external communication and education initiatives
• Representing CG’s tax-efficient business at conferences and events

Vehicle Sales Specialist

Artificial Intelligence

• Deliver risk oversight of AI including data and model-related risks
• Oversee, review and assess risks against Capital Group’s AI Risk Management Framework
• Work closely with partners to implement the AI RMF
• Proactively identify and escalate risks and recommend enhancements
• Prepare risk reporting for governance forums and senior leadership

AI Risk Specialist

Data Analyst

• Partner with business, data domain owners/stewards, and technology teams to define and deliver data products, analytics, and reporting that improve decision-making
• Oversee the design, build, and maintenance of analytics and reporting solutions that enable scalable, trusted insights
• Stay current on emerging technologies, industry trends, and best practices and apply them to improve standards and delivery
• Champion data strategy and literacy by creating roadmaps, driving adoption and training plans, and tracking success metrics
• Lead and develop talent by setting goals, mentoring and coaching, managing performance, and supporting hiring efforts

Data and Analytics Specialist

Full-stack Engineer

• Design and implement scalable, production-quality platforms and services
• Take end-to-end ownership of technical projects, from system design through implementation, deployment, and operational excellence
• Build integration layers across heterogeneous enterprise systems
• Build developer platforms and internal tooling
• Maintain a high bar for code quality, testing, documentation, and reliability
• Contribute to architectural decisions

Senior Software Development Engineer

Architect

• Lead and influence enterprise and solution architecture strategy for GBS technologies in close partnership with business and technology leaders
• Integrate business strategy, current technology portfolios, and external industry trends into target‑state architectures and multi‑year roadmaps for GBS capabilities and applications
• Provide architecture leadership for complex, strategic GBS initiatives
• Facilitate design and decision‑making workshops
• Develop and communicate clear architectural narratives and business cases for alignment and informed decision‑making

Senior Manager, Portfolio Architecture – Global Business Services, Corporate Functions

Product Manager

• Shape a clear AI product vision and strategy for lines of business
• Establish success metrics tied to realized business value
• Manage discovery, experimentation, MVP delivery, and scale-out
• Translate ambiguous business problems into product hypotheses and roadmaps
• Work closely with engineering, data science, UX, architecture, and risk partners
• Drive adoption of enterprise AI tools
• Apply strong working knowledge of modern AI concepts to product decisions
• Act as a trusted product partner to business, technology, information security, and legal/compliance leaders
• Mentor other product managers and help raise the overall bar for product thinking

AI Product Management – Enablement Principal

• Contribute to the delivery of business transformation programs
• Independently lead strategic, high complexity PD&O efforts through the full life cycle with guidance from senior management
• Drive decision-making through your ability to manage and align stakeholder expectations
• Manage and develop process optimization resources to build new capabilities and capacity for the PD&O practice