Job Description, Responsibilities & Requirements
About the Position
We are seeking an experienced AI & Data Architect with a strong background in technology, AI architecture, data, and advanced analytics in the cloud. In this role, you will assess, redesign, and evolve AI and data ecosystems in production within financial or insurance organizations. You will combine AI architecture vision, data governance, MLOps, integration of structured and unstructured data, and the definition of technical capabilities needed to enable generative AI, agentic AI, and intelligent automation solutions in regulated environments, ensuring that data is available, governed, traceable, and suitable for feeding AI models, agents, and production use cases.
Responsibilities
- Review and evaluate the client's current AI and data architecture on GCP, AWS, and internal platforms
- Conduct an inventory of existing capabilities and platforms
- Assessment of quality, completeness, availability, governance, and accessibility of historical data for model training and operation
- Identify technical gaps between the current state and the capabilities required for AI solutions in production
- Proposal of the target AI and data architecture, maximizing the reuse of existing capabilities in GCP and AWS
- Evaluate the maturity of current models, data pipelines, MLOps capabilities, and observability mechanisms
- Definition of responsible AI and data architecture guidelines aligned with SFC regulations
- Assess the technical feasibility of AI use cases from the perspective of data, models, governance, and operations
- Build a map of AI use cases prioritized by impact, technical feasibility, and data availability
- Identify gaps in governance, lineage, privacy, and data quality that may affect AI implementation
- Definition of critical technical pivots for insurance processes such as claims, underwriting, issuance, and administrative support
- Present findings, risks, gaps, and architectural recommendations to the Steering Committee
Requirements
- Minimum of 8 years of experience in technology with at least 4 years in AI architecture, data, or advanced analytics in the cloud
- Expertise in Google Cloud Platform including Vertex AI, BigQuery, and Cloud Storage
- Proficiency in Google Cloud Cloud Run, Pub/Sub, and Dataflow along with Data Catalog
- Skills in Amazon Web Services including S3, RDS, and Lambda as well as API Gateway, EventBridge, and SQS
- Knowledge of generative AI and agentic AI architectures including RAG pipelines, embeddings, and agent orchestration with LLM in production
- Background in cloud data architectures such as data lakehouse, query optimization, and high-volume processing
- Competency in data governance covering cataloging, lineage, data quality along with access policies, privacy, and habeas data compliance
- Understanding of MLOps including model training, versioning, and drift monitoring as well as retraining and model observability
- Capability to integrate unstructured data through documents, OCR, and embeddings along with information extraction and classification
- Familiarity with responsible AI including explainability, decision traceability, and bias management with human-in-the-loop design
- Skills in data security including encryption, masking, and granular access control with IAM in regulated environments
- Proficiency in data orchestration tools such as Apache Airflow, Cloud Composer, or equivalent
- Expertise in data observability covering quality monitoring, anomaly alerts, and operational dashboards
- Knowledge of C4 architecture and TOGAF methodology
- Understanding of SFC guidelines on AI, data, explainability, auditability, and automated decision-making
Nice to Have
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer
- Google Cloud Professional Cloud Architect
- AWS Certified Data Analytics Specialty
- AWS Certified Solutions Architect
- CDMP Certified Data Management Professional
- Certification in responsible AI or AI ethics
We Offer
- Opportunity to work remotely from Colombia
- Competitive compensation package
- Collaborative and innovative work environment
About the Company
[Company description if present]