AI Senior Manager, AI Engineering

Capital Group • Charlotte, NC

2d • $187,016 - $317,927

About The Position

The AI Senior Manager for AI Engineering will help translate Capital Group’s AI-first operating model into practical transformation across investment systems. Reporting to the AI Engineering Director, this role leads teams focused on smart automation, AI-enabled design, agentic delivery patterns, and measurable operational improvement.

This is a hands-on, execution-oriented leadership role. The manager partners with product, engineering, operations, data, architecture, cybersecurity, risk, and compliance teams to identify high-value opportunities, deliver manageable MVPs, and scale human-plus-agent capabilities. The work is intended to reduce manual effort, improve straight-through processing, strengthen exception management, and increase delivery quality.

The role combines analysis, AI engineering, automation, platform thinking, and disciplined delivery management. The successful candidate leads managers, engineers, automation specialists, and partner teams through ambiguity while maintaining strong security, privacy, compliance, and responsible AI controls. The position also carries ownership of a portfolio of applications and solutions, including their roadmap, stability, lifecycle management, and continuous improvement.

Requirements

• At least 8 years of enterprise technology experience, including at least 3 years leading teams or programs across AI engineering, process transformation, data engineering, platform engineering, testing, or investment systems technology.
• At least 5 years of proven people leadership experience building, coaching, and leading high-performing engineering teams, including engineers, managers, automation specialists, workflow analysts, and cross-functional delivery teams.
• Experience delivering AI-enabled workflow solutions, business process modernization, or human-plus-agent operating patterns in a complex enterprise environment.
• Strong understanding of investment systems, financial services workflows, regulated processes, or equivalent mission-critical enterprise domains.
• Working knowledge of generative AI, agentic AI, orchestration, RAG, prompt patterns, evaluations, observability, guardrails, automation platforms, APIs, and modern engineering practices.
• Experience partnering with data, platform, architecture, cybersecurity, risk, legal, compliance, business operations, and product teams to deliver secure and scalable solutions.
• Ability to translate ambiguous business needs into practical MVPs, execution plans, team priorities, measurable outcomes, and adoption plans.
• Ability to communicate clearly with senior stakeholders while staying close to execution details, risks, dependencies, and delivery health.
• Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Engineering, Information Systems, Business Technology, or a related field.
• Demonstrated ownership of a portfolio of applications and solutions, including accountability for its roadmap, stability, lifecycle management, and continuous improvement.

Nice To Haves

• Advanced degree.
• Relevant cloud, AI, automation, data, quality, or security certifications.

Responsibilities

• Lead AI engineering teams that design, build, and scale AI-enabled business solutions across investment systems.
• Translate target operating model priorities into delivery plans, team backlogs, MVP scopes, operating rhythms, and measurable outcomes.
• Partner with business and technology stakeholders to identify workflow pain points, automation candidates, agent insertion opportunities, and data dependencies.
• Deliver smart automation and human-plus-agent patterns that improve cycle time, straight-through processing, exception handling, resiliency, and user experience.
• Guide engineering teams on practical use of generative AI, agentic AI, orchestration, retrieval-augmented generation, evaluations, observability, guardrails, and reusable delivery patterns.
• Embed responsible AI practices, human-in-the-loop controls, auditability, traceability, secure access, data controls, and operational guardrails into delivery from the start.
• Develop managers, senior engineers, workflow analysts, automation specialists, and domain-savvy technologists while strengthening a one-team culture across Charlotte and global hubs.
• Communicate progress, risks, dependencies, and business value clearly to the AI Engineering Director, peer leaders, product partners, and senior stakeholders.
• Own a portfolio of applications and solutions, including its roadmap, stability, lifecycle management, and continuous improvement.

Benefits

• Competitive salary.
• Individual annual performance bonus.
• Capital’s annual profitability bonus.
• Retirement plan with a company contribution of 15% of eligible earnings.
• Generous time-away benefits.
• Health benefits from day one.
• Opportunity for flexible work options.
• 2-for-1 matching gifts for charitable contributions and opportunity to secure annual grants for charitable organizations.
• On-demand professional development resources.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior