Job Description
Job Description
Job Description
Benefits:
- 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.
Job Tags
Full time, Contract work, Flexible hours