Senior AWS GenAI & Cloud Solutions Architect

Job Description

Job DescriptionBenefits:

• Competitive salary
• Opportunity for advancement
• Training & development

Job Title: Senior AWS GenAI & Cloud Solutions Architect
Focus: AWS Bedrock | Generative AI | Startup POCs
Location: Remote (US-based preferred)
Employment Type: Full-time / Contract / Consulting (flexible)

About the Role
AES is scaling a startup-focused innovation business unit and is hiring a Senior AWS GenAI & Cloud Solutions Architect with deep hands-on experience in AWS Bedrock, including Amazon Bedrock Agents and AgentCore.

This role focuses on designing, prototyping, and delivering Generative AI solutions for early- and growth-stage startup initiatives. The emphasis is rapid experimentation, POCs, MVPs, and production-ready GenAI architectures built in weeksnot months.

This is an ideal role for architects who enjoy hands-on building, fast execution, and turning early ideas into working AI-driven systems.

About AES
AES is a 22-year-old niche boutique consulting firm with a strong foundation in enterprise-grade technology delivery. Building on this experience, AES has launched a dedicated startup and innovation-focused unit that blends startup agility with disciplined cloud engineering.

What you get:

• Startup-style innovation with real ownership
• Exposure to multiple high-growth startup initiatives
• Stability and credibility of an established firm

What Youll Do

• Architect and deliver Generative AI solutions using AWS Bedrock
• Build GenAI POCs, pilots, and MVPs
• Work with foundation models (Claude, Titan, Llama, etc.)
• Design and implement RAG (Retrieval-Augmented Generation) architectures
• Build scalable GenAI platforms, including vector databases and embedding pipelines
• Integrate GenAI into cloud-native and containerized architectures
• Collaborate with product, engineering, and data teams
• Evaluate new AWS AI services and recommend best-fit solutions
• Translate ambiguous ideas into working GenAI systems

Core Technical Skills

• Strong hands-on experience with AWS Bedrock (Agents & AgentCore)
• Deep understanding of GenAI architectures and patterns
• Experience with prompt engineering, model orchestration, and GenAI security/governance
• Containerization and orchestration: Docker, Kubernetes (EKS), ECS/Fargate
• AWS services: Lambda, API Gateway, S3, DynamoDB, etc.
• Infrastructure as Code: Terraform and/or CloudFormation

What Were Looking For

• 7+ years of cloud architecture or advanced cloud engineering experience
• Proven delivery of GenAI POCs or production solutions
• Strong AWS foundation at Solutions Architect level
• Experience in fast-paced startup or innovation environments
• Ability to explain complex AI concepts to non-technical stakeholders

Certifications:

• AWS Solutions Architect Professional (Required)
• AWS Generative AI Developer Professional (Nice to have)

Why This Role Stands Out

• Hands-on work on cutting-edge GenAI initiatives
• High ownership with minimal bureaucracy
• Strong influence on early product and platform decisions
• Backed by 22 years of delivery credibility

This is a remote position.