Senior AWS Cloud & AI Systems Architect

Role:
Senior AWS Cloud & AI Systems Architect (Contract)

Location:
Remote

Role open for:
60 days (we’re optimizing for the best fit, not the fastest hire)

Reporting to:
CTO

Company Description

Coeus Institute specializes in creating fully autonomous data transformation systems that empower organizations to make strategic, data driven decisions. By engineering intelligent automated solutions, Coeus reveals hidden patterns and delivers real time, actionable insights from large datasets. Our solutions address critical challenges across defense, intelligence, finance, and corporate strategy by detecting emerging opportunities, optimizing operational workflows, and delivering statistically grounded, actionable insights. Through the automation of the entire data lifecycle, Coeus enables organizations to focus on impactful decision making and thrive in a rapidly evolving, information driven world.

Unlike many companies, we fully embrace the age of automation. Professionals who can automate portions of their workflows, eliminate repetitive work, leverage edge tools, and design systems that scale are celebrated here, not shunned.

Role Description

We’re hiring a Senior AWS Cloud & AI Systems Architect to help build and standardize a repeatable AWS deployment architecture for our customers. This includes reference infrastructure, security patterns, multi tenant design, and production grade operational tooling, so deployments are consistent, secure, and scalable across customer environments.

Engagement Structure

This role begins as a well compensated contract engagement focused on a defined first project. With strong delivery and clear impact, there is a high likelihood of transitioning into a fulltime offer with an above industry standard salary.

Qualifications

• 5+ years of experience architecting production systems on AWS
• Deep expertise with core AWS services: RDS/Aurora (PostgreSQL), Lambda, API Gateway, S3, SES, Secrets Manager, IAM, VPC, CloudWatch, CloudFormation or CDK
• Strong SQL skills: Ability to write complex analytical queries, materialized views, stored functions, and performance tuned indexes across normalized financial datasets
• Experience integrating Foundation APIs (Anthropic, OpenAI, Amazon Bedrock, etc.) into production applications, including prompt engineering, structured output parsing, and error handling
• Proficiency in TypeScript & Python for serverless function development
• Understanding of multi tenant SaaS architecture patterns with strict data isolation
• Experience with data pipelines and ETL processes for structured financial data
• Familiarity with RLS, IAM policies, and compliance requirements in regulated industries (financial services, banking, or credit unions)

Strongly Preferred

1. Experience with Amazon Bedrock and deploying AI agents within customer VPCs
2. Background in financial data: Loan portfolios, deposit analytics, delinquency modeling, fee revenue analysis, or member/customer segmentation
3. Data science or analytics engineering experience: Statistical modeling, risk scoring, predictive analytics, or benchmark analysis
4. Experience building real time dashboards backed by precomputed analytics (materialized views, CQRS patterns)
5. Familiarity with React/TypeScript frontends and how they consume backend APIs
6. Experience with PDF generation pipelines and transactional email systems at scale
7. Knowledge of credit union or banking core system data formats and integration patterns
8. Analytics engineering experience designing precomputed analytical models from transactional data. dbt or similar.

Bonus Consideration

Equally qualified candidates will receive bonus consideration if they are:

• US veterans of any branch of the armed services
• Retired US intelligence or defense professionals