Architect Lead

504 CGCG-US CG Companies Global-US; Irvine (CA); On-site; USD 201,683 - 322,693; Full time

Benefits offered by this job

Competitive bonuses

Flexible work options

On-demand professional development resources

Job summary

Join 504 CGCG-US CG Companies Global-US as a Lead Data & AI Platform Architect, where you will serve as the technical expert for data, integration, and AI infrastructure. This role involves steering technology strategy, defining architectures, and implementing scalable data platforms focused on Generative AI and Machine Learning. You will collaborate with various stakeholders to ensure that solutions drive meaningful business impact.

With a strong background in cloud-native platforms like Snowflake and Databricks, plus expertise in AI frameworks and data governance, you will be crucial in guiding the adoption of innovative technologies within the company.

Competitive salary ranges from $201,683–$322,693 in Southern California, alongside various benefits and performance bonuses from day one.

Qualifications

• 10+ years of architecture and engineering experience
• Hands-on experience with AWS Bedrock, Azure OpenAI, or Mosaic AI
• Excellent interpersonal and communication skills

Responsibilities

• Serve as technical domain expert on data and AI infrastructure
• Define technology strategy and build reference implementations
• Guide strategic decisions for data architecture

Skills

Cloud-native data platforms

LLM orchestration

AI development frameworks

Domain-driven design

Event-driven architecture

Stream processing

Python

Spark

Education

Bachelor's degree in Computer Science or Engineering

Tools

Snowflake

Databricks

Dremio

Job description

Lead Data & AI Platform Architect

As a Lead Data &AI Platform Architect, you will serve as the technical domain expert on foundational data, integration, and AI infrastructure technologies. You will steer technology strategy, define target state architectures, and build reference implementations for scalable, resilient data platforms optimized for Generative AI and Machine Learning.

You will also be responsible for identifying and evaluating emerging technologies beneficial to this domain. You will be expected to possess hands‑on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality. This position requires a practical approach to testing and validating solutions in lab environments, ensuring that data pipelines are AI‑ready, performant, and secure.

You will act as a thought leader in data architecture, providing guidance on governance, security, and compliance. You will serve as the technical authority on foundational data and integration technologies, driving the technology strategy and target state architecture to support business goals. You will also evaluate emerging technologies, guiding the organization to adopt innovations that deliver value while minimizing disruption to end‑users. Collaboration and thought leadership will be essential as you influence architects, engineers, and stakeholders to achieve strategic goals. We work with our business partners and the rest of IT to plan, design, enable, and mature the capabilities needed for Capital Group to accomplish our mission of delivering superior, long‑term investment results and high‑quality service.

Qualifications

You have a bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent experience. You have demonstrated ability in defining, designing, and delivering enterprise‑scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns. You have at least 10 years of deep architecture and engineering experience with expertise in cloud‑native data platforms (Snowflake, Databricks, Dremio), LLM orchestration (LangChain, LlamaIndex), and AI development frameworks.

Hands‑on experience with modern patterns, including domain‑driven design, event‑driven architecture, RAG architectures, Agentic AI patterns, semantic layers, and data mesh. Expertise in Python, Spark, and the deployment of large language models (LLMs) via AWS Bedrock, Azure OpenAI, or Mosaic AI. Proven ability to define, design, and deliver enterprise‑scale data strategies and solutions based on sound architectural principles using architectural choices that optimize performance, cost, and security. Hands‑on experience with modern data architecture patterns, including domain‑driven design, event‑driven architecture, stream processing, lakehouse, service‑based APIs, data mesh, and/or data fabric.

You possess excellent interpersonal skills, written and verbal communication skills, with the ability to generate and present compelling content to guide strategic decisions. You have adopted customer‑centric approaches by prioritizing stakeholder needs, ensuring data solutions drive meaningful business impact and user experience. You can build consensus across business and technology teams by fostering collaboration and shared ownership, partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well‑architected, data‑centric solutions while balancing technical depth with business outcomes. You can proactively identify and mitigate architectural risks while ensuring adherence to regulatory and compliance standards.

Compensation and Benefits

Southern California base salary range: $201,683–$322,693.

NewYork base salary range: $213,795–$342,072.

In addition to a highly competitive base salary, you will be eligible for an individual annual performance bonus, Capital’s annual profitability bonus, and a retirement plan where Capital contributes 15% of your eligible earnings. You will also receive competitive bonuses and benefits, generous time‑away and health benefits from day one, flexible work options, 2‑for‑1 matching gifts for charitable contributions, and opportunities for annual grants for the organizations you support. Access to on‑demand professional development resources that allow you to hone existing skills and learn new ones.

Equal Opportunity Employer

We are an equal‑opportunity employer. We comply with all federal, state, and local laws that prohibit discrimination when making all decisions about employment. 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.