Client-Facing AWS AI/ML Solutions Architect

Lean Solutions Group; Philippines; On-site; PHP 1,500,000 - 3,200,000; Full time

Job summary

Lean Solutions Group is seeking a client-facing AWS AI/ML Solutions Architect to connect cloud AI innovations with enterprise goals. You will lead discovery, translate business needs into secure cloud architectures, and deploy end-to-end AI/ML systems for client environments.

You will design scalable ML architectures, implement AWS AI platforms, and build streaming pipelines with MLOps practices. Strong Python and IaC skills, plus experience with CI/CD for ML, are essential.

Qualifications

• 2-3 years of direct experience architecting and deploying AI/ML systems within the AWS ecosystem.
• Deep functional expertise in the AWS Machine Learning suite, particularly SageMaker, Bedrock, and foundational services.
• Hands-on familiarity with Generative AI frameworks, NLP, and Computer Vision.
• Strong programming proficiency in Python with data science libraries (TensorFlow, PyTorch, Pandas, Scikit-learn).
• Proven background in Infrastructure as Code tools like AWS CloudFormation or Terraform.
• Demonstrated success establishing automated CI/CD for machine learning models.
• Experience designing secure RESTful/cloud API integrations into existing corporate environments.

Responsibilities

• Lead client discovery workshops, serving as the technical authority to align business demands with AWS AI/ML service capabilities.
• Design scalable, secure, and cost-optimized ML architectures tailored to customer infrastructure.
• Present technical blueprints, proofs-of-concept, and implementation roadmaps to leadership and teams.
• Implement managed AWS AI platforms, including Bedrock, Lex, Comprehend, Rekognition, Textract, and Kendra.
• Build, train, and deploy custom predictive models via SageMaker when off-the-shelf services need enhancement.
• Develop prompt engineering tactics and fine-tune LLMs on client datasets.
• Construct secure API pipelines connecting AWS cognitive modules to legacy systems.
• Establish MLOps standards and CI/CD workflows to track model performance and deployment.
• Troubleshoot performance bottlenecks, latency, and output inaccuracies during rollouts.
• Conduct post-launch performance reviews to refine API consumption and reduce AWS costs.

Skills

AWS AI/ML

SageMaker

Bedrock

NLP

Computer Vision

Python

IaC

CI/CD

REST APIs

Tools

AWS CloudFormation

Terraform

Git

Job description

Lean Solutions Group is seeking a client-facing AWS AI/ML Solutions Architect to connect cloud AI innovations with enterprise goals. You will lead discovery, translate business needs into secure cloud architectures, and deploy end-to-end AI/ML systems for client environments.

You will design scalable ML architectures, implement AWS AI platforms, and build streaming pipelines with MLOps practices. Strong Python and IaC skills, plus experience with CI/CD for ML, are essential.