Solutions Architect – Cloud & AI/ML

About the role

We are seeking a Solutions Architect to lead technical conversations with clients, design comprehensive AWS‑based cloud solutions, and support the full pre‑sales cycle. The role bridges business needs and technical capabilities, focusing on data engineering, analytics, and AI/ML implementations.

Key responsibilities

• Conduct technical discovery sessions to understand client challenges, data maturity and strategic goals.
• Design end‑to‑end AWS architectures, including service selection, integration, security and implementation roadmaps.
• Develop technical proposals and RFP responses with architecture diagrams, project plans, effort estimates and pricing models.
• Present solutions to C‑level executives and technical audiences, and lead workshops and proof‑of‑concepts.
• Collaborate with delivery teams to ensure feasibility, refine estimates and plan resources.
• Maintain post‑sales relationships to ensure smooth transition to delivery.
• Contribute to the company’s solutions portfolio and enable commercial teams with technical knowledge.

Required profile

• 5+ years of hands‑on cloud architecture experience on AWS.
• Strong communication skills in Spanish and English, able to translate technical concepts for non‑technical audiences.
• Client‑facing consulting experience with a proven ability to build trust and credibility.
• Project‑management mindset with realistic timelines and resource planning.

Required skills

• AWS services: EC2, S3, RDS, Lambda, Glue, EMR, Athena, Redshift, Lake Formation, SageMaker, Bedrock.
• Data lake and data warehouse design, pipeline orchestration and data quality frameworks.
• AI/ML and generative AI tools: SageMaker, Bedrock, LLM integration.
• Programming: Python and SQL.
• Data modeling, Star Schema design.
• Cloud security: IAM, encryption, regulatory compliance, AWS Well‑Architected Framework.