AWS & AI Solutions Architect — Remote AI Delivery Leader

3Pillar Global, Inc.; México; Remote; MXN 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Major Medical Insurance

Life Insurance (optional)

Savings Box (optional)

Remote/Home office

Law benefits: IMSS, Afore, Infonavit

Job summary

3Pillar Global, Inc. is seeking an AWS/AI Solutions Architect to lead architecture across the AI-driven delivery lifecycle.

You will own high-level design choices, set standards, and stay hands-on across the codebase, embedding AI agents throughout the SDLC from requirements to release. The role demands collaboration with clients during solutioning, shaping architecture, feasibility, and delivering technical narratives for proposals with a focus on risk and business value.

Qualifications

• Bachelor's degree or higher in Computer Science or related field.
• 5+ years as Software/ Solutions Architect with hands-on cloud and AI tooling.
• Experience driving agentic SDLC product engineering and human oversight model.
• Strong knowledge of AWS services: Lambda, API Gateway, DynamoDB/RDS, S3.
• Experience owning pre-sales technical solutioning with client interaction.

Responsibilities

• Own and design architecture for cloud-based, AI-driven delivery.
• Set technical standards for AI-assisted approaches with human-in-the-loop oversight.
• Stay hands-on in codebase; review, build, and validate AI-driven approaches.
• Plan and insert new AI/agentic tooling into stacks and environments.
• Collaborate with Solutioning team on pre-SOW technical solutioning.
• Translate client requirements into technical narratives for proposals and SOWs.

Skills

AWS proficiency

AI/agentic SDLC

Architectural design

Pre-sales solutioning

Client communication

Education

Bachelor's degree in CS or related

Tools

AWS

Job description

3Pillar Global, Inc. is seeking an AWS/AI Solutions Architect to lead architecture across the AI-driven delivery lifecycle.

You will own high-level design choices, set standards, and stay hands-on across the codebase, embedding AI agents throughout the SDLC from requirements to release. The role demands collaboration with clients during solutioning, shaping architecture, feasibility, and delivering technical narratives for proposals with a focus on risk and business value.