Technical Architect - AWS & Machine Learning at Perficient

Department: Platforms & Technology

Compensation · Listed in posting

$81,978 – $160,020/yr

Type: Full-time
Level: senior
Posted: Sep 18, 2026

Description

Perficient is hiring a Technical Architect to design and implement cloud-native, distributed, and machine-learning applications on AWS. The role leads technical architecture, guides development teams, and delivers scalable AI/ML solutions using Amazon SageMaker, Lambda, SNS/SQS, EventBridge, DynamoDB, Amazon Bedrock, Terraform, Python, GitHub Actions, and CI/CD. Candidates need at least five years of relevant experience, strong AWS production experience, hands-on SageMaker expertise, and experience with scalable distributed systems and event-driven architectures. The position offers a base salary range of $81,978 to $160,020 across United States locations.

Required Skills

AWS
Amazon SageMaker
Terraform
Python
GitHub Actions
CI/CD
Distributed systems
Event-driven architectures
Amazon Bedrock

Additional Information

Required Previous Experiences: 5+ years of experience in software engineering, cloud engineering, technical architecture, or a related discipline
Experience designing and implementing AWS-based solutions in production environments
Hands-on experience with Amazon SageMaker, including model deployment, endpoint management, inference workflows, and enterprise application integration
Experience supporting production machine learning workloads within AWS environments
Experience building and supporting highly scalable distributed systems
Understanding of asynchronous processing and event-driven architectures
Hands-on experience with Terraform
Hands-on experience with Python
Hands-on experience with GitHub Actions
Hands-on experience with CI/CD automation
Preferred Qualifications: Experience deploying and managing NLP, embedding, and generative AI solutions using Amazon SageMaker
Understanding of embedding models, vectorization, semantic search, and retrieval-based AI architectures
Experience implementing OCR and document-processing workflows using machine learning services
Experience integrating SageMaker-hosted models into production applications and distributed architectures
Familiarity with MLOps, model lifecycle management, monitoring, and AI application deployment best practices
Experience implementing AI/ML solutions using Amazon Bedrock or similar generative AI platforms
Familiarity with Retrieval-Augmented Generation architectures and vector databases
Translation Company Name: Perficient