Senior Data & AI Architect, GCP & GenAI - Onsite

Cyberobotix LLC; Charlotte (NC); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Cyberobotix LLC in Charlotte, NC, seeks a Lead Data & AI Architect to drive a strategic GCP-based data/AI transformation for a financial-services client. You will own end-to-end architecture, govern data platforms, and guide senior stakeholders through target-state designs, implementation planning and governance across multiple teams.

The role demands 12+ years in data/AI/enterprise architecture, deep GCP expertise, and proven leadership in large-scale transformations with a focus on secure,

Qualifications

• 12+ years of experience in Data, AI, Cloud or Enterprise Architecture.
• Extensive experience designing and implementing enterprise-scale solutions on GCP.
• Deep expertise with GCP data/AI services (BigQuery, Dataflow, Pub/Sub, Vertex AI).
• Proven ability to translate business objectives into pragmatic technology solutions.

Responsibilities

• Own the end-to-end Data and AI architecture for the transformation program.
• Lead architecture assessments and define target-state architecture and modernization strategy.
• Design secure, scalable, and cost-efficient data/AI platforms on GCP.
• Guide governance, reviews and decisions across data, AI, cloud, security and observability.
• Provide architectural direction to Data Eng, AI Eng, Cloud, DevOps, and MLOps teams.
• Mentor architects and engineers and ensure alignment with engineering standards.

Skills

Leadership

Executive communication

Stakeholder management

Architecture leadership

Mentoring

Strategy translation

Tools

BigQuery

Cloud Storage

Dataplex

Dataflow/Apache Beam

Pub/Sub

Dataproc

Vertex AI

Job description

Cyberobotix LLC in Charlotte, NC, seeks a Lead Data & AI Architect to drive a strategic GCP-based data/AI transformation for a financial-services client. You will own end-to-end architecture, govern data platforms, and guide senior stakeholders through target-state designs, implementation planning and governance across multiple teams.

The role demands 12+ years in data/AI/enterprise architecture, deep GCP expertise, and proven leadership in large-scale transformations with a focus on secure,