Senior GCP Data & AI Architect for Transformation

Envision Technology Solutions; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Envision Technology Solutions seeks a Lead Data & AI Architect to drive enterprise data and AI architecture for a high-impact transformation program in financial services. You will shape the target-state, establish governance, and guide multi-disciplinary teams across data, AI, cloud, and security.

You will translate business goals into scalable, secure solutions on GCP, covering data lakes, warehouses, real-time streaming and AI workloads, while ensuring cost efficiency and risk controls.

Qualifications

• 12+ years in Data, AI, Cloud or Enterprise Architecture.
• Extensive experience designing and implementing enterprise-scale solutions on GCP.
• Deep expertise in GCP data and AI services, including BigQuery, Cloud Storage, Dataflow/Apache Beam, Pub/Sub, Dataproc and Vertex AI.
• Strong experience designing modern enterprise data platforms and architectures, including data lakes/lakehouses, data warehouses, data products and streaming platforms.
• Proven experience designing both batch and real-time/streaming data architectures.
• Strong experience with AI/ML architecture and practical experience with Generative AI and/or agentic AI architectures.
• Strong understanding of RAG, vector search, embeddings, knowledge architectures, AI orchestration and integration of AI agents with enterprise systems and data.
• Experience designing secure, governed and production-grade AI platforms.
• Strong understanding of data security, governance, privacy, lineage and data quality.
• Proven experience working within financial services, banking or other highly regulated industries.
• Experience leading architecture discovery, assessment and transformation engagements.
• Demonstrated ability to translate business requirements and current-state findings into target-state architecture and implementation roadmaps.
• Strong understanding of cloud scalability, resilience, performance, observability and cost optimization.
• Experience with DevOps/MLOps and productionization of Data and AI solutions.
• Excellent executive communication, stakeholder management and influencing skills.
• Proven ability to lead and mentor multidisciplinary architecture and engineering teams.

Responsibilities

• Own end-to-end Data and AI architecture for the transformation program and establish target-state technology vision.
• Lead current-state architecture assessments and define target-state architecture and modernization strategy.
• Translate business requirements into scalable, secure architecture.
• Define architecture principles, reference architectures and reusable patterns.
• Drive architecture decisions across data, AI, cloud, security and observability.
• Lead architecture governance, design reviews and technical decision-making.
• Design and govern enterprise-scale data platforms on GCP supporting batch, real-time and streaming workloads.
• Architect data ingestion, processing, storage, transformation, serving and consumption patterns in GCP.
• Provide guidance on BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Vertex AI.
• Define modern data architecture patterns and data products where appropriate.
• Design high-volume data workloads with performance, scalability and cost optimization.
• Establish governance, security and regulatory architecture patterns.
• Partner with Security, Risk, Compliance and Governance teams.

Skills

GCP expertise

Data architecture

AI architecture

Enterprise leadership

Stakeholder mgmt

Tools

BigQuery

Dataflow

Pub/Sub

Vertex AI

Dataproc

Job description

Envision Technology Solutions seeks a Lead Data & AI Architect to drive enterprise data and AI architecture for a high-impact transformation program in financial services. You will shape the target-state, establish governance, and guide multi-disciplinary teams across data, AI, cloud, and security.

You will translate business goals into scalable, secure solutions on GCP, covering data lakes, warehouses, real-time streaming and AI workloads, while ensuring cost efficiency and risk controls.