Senior GenAI Solutions Architect – AWS Cloud

Lean Solutions Group; Philippines; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Lean Solutions Group (LSG) is seeking a Senior AI Solutions Engineer to bridge cognitive computing capabilities with client business goals. You will lead technical discovery, architect scalable AI-driven solutions in the AWS ecosystem, and drive hands-on deployment through post-launch optimization.

The ideal candidate combines strong Python and AWS ML expertise with a consultative style to build trust with engineering teams and executives.

Qualifications

• 3+ years of hands-on experience in AI/ML solution deployment and engineering within the AWS cloud ecosystem.
• AWS ML Ecosystem: Direct production experience with Amazon Bedrock, SageMaker, core AWS AI services, and integration points like AWS Lambda and API Gateway.
• Programming Languages: Advanced Python proficiency alongside PyTorch, TensorFlow, Pandas, Scikit-learn.
• Generative AI & Architecture: Hands-on experience building GenAI workflows, including LLM orchestration tools (LangChain, LlamaIndex), vector databases, and RAG architectures.
• Infrastructure & MLOps: Practical experience with Infrastructure as Code (Terraform or AWS CloudFormation) and building CI/CD pipelines for ML models.
• Client & Consultative Skills: Proven track record translating complex technical AI concepts into clear business value for executive clients and stakeholders.

Responsibilities

• Technical Authority: Lead client discovery workshops to assess technical environments and translate business challenges into tailored AWS AI/ML architectures.
• Architecture & Strategy: Design resilient, production-ready AI solutions prioritizing security, governance, low-latency performance, and cloud cost efficiency.
• Executive Presentation: Build and present proof-of-concepts (POCs), technical roadmaps, and trade-off analyses to technical teams and C-suite executives.
• Expectation Alignment: Manage project scope strictly to ensure technical deliverables directly align with measurable client business outcomes.
• AWS AI Deployment: Integrate managed AWS AI services into enterprise pipelines.
• Custom Models & GenAI: Build, fine-tune, and deploy custom models when managed services fall short.
• LLM Engineering: Execute prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning strategies on LLMs deployed via AWS Bedrock.
• API Integration: Design secure, high-throughput REST APIs and microservices to integrate cloud cognitive services with client enterprise infrastructure.
• Pipeline Automation: Establish CI/CD and MLOps pipelines to automate model testing, deployment, and real-time monitoring for model drift.
• Production Troubleshooting: Diagnose and resolve latency bottlenecks, API failure rates, and model performance degradation.
• Cost & Performance Audits: Conduct post-deployment optimizations to maximize API efficiency and reduce overall AWS compute spend.

Skills

Python

AWS

SageMaker

Bedrock

PyTorch

TensorFlow

GenAI

LLM

API Gateway

CI/CD

MLOps

Tools

Terraform

AWS CloudFormation

LangChain

LlamaIndex

Job description

Lean Solutions Group (LSG) is seeking a Senior AI Solutions Engineer to bridge cognitive computing capabilities with client business goals. You will lead technical discovery, architect scalable AI-driven solutions in the AWS ecosystem, and drive hands-on deployment through post-launch optimization.

The ideal candidate combines strong Python and AWS ML expertise with a consultative style to build trust with engineering teams and executives.