Senior AWS GenAI Cloud Solutions Architect Job at Globenet Consulting Corp in Be
Globenet Consulting Corp, Bellevue, WA, United States
Benefits:
Competitive salary
Opportunity for advancement
Training & development
Senior AWS GenAI & Cloud Solutions Architect
Focus: AWS Bedrock | Generative AI | Startup POCs & MVPs
Location: Remote (US-based preferred)
Employment Type: Full-time / Contract / Consulting (Flexible)
Why Join AES?
At AES, you get the rare opportunity to work at the intersection of cutting‑edge Generative AI innovation and enterprise‑grade delivery excellence. As part of our newly launched startup‑focused innovation business unit, you will:
Work hands‑on with AWS Bedrock and leading foundation models on real‑world GenAI use cases
Partner directly with startup founders, CTOs, and product leaders
Design and launch GenAI POCs and MVPs in weeks—not months
Gain exposure to multiple high‑growth startups across industries
Enjoy startup‑style ownership and experimentation with the backing of a 22‑year‑old consulting firm
Choose a flexible engagement model: full‑time, contract, or consulting
If you thrive in fast‑moving environments, enjoy turning ideas into working AI‑driven systems, and want meaningful impact without startup instability, this role was built for you.
About the Role
AES is scaling a dedicated innovation and startup‑focused innovation practice building Generative AI‑enabled cloud solutions for internal and incubated products at AES, all actively exploring how GenAI can accelerate product development, validate ideas, and create competitive advantage.
We are seeking a Senior AWS GenAI & Cloud Solutions Architect who can design, prototype, and operationalize modern GenAI architectures using AWS Bedrock. You will operate in highly ambiguous environments, translating early product concepts into secure, scalable, and testable AI solutions.
What You’ll Do
Architect, build, and deliver Generative AI solutions using AWS Bedrock
Design and implement GenAI POCs, pilots, and MVPs for startup internal product teams
Work with foundation models such as Claude, Titan, Llama, and others via Bedrock
Design and implement Retrieval‑Augmented Generation (RAG) architectures
Build scalable GenAI platforms incorporating:
Vector databases
Embeddings pipelines
Secure data ingestion and processing layers
Integrate GenAI solutions into cloud‑native, containerized architectures
Deploy and manage workloads using Docker, Kubernetes (EKS), ECS, and Fargate
Collaborate closely with product, engineering, and data teams
Evaluate emerging AWS AI and cloud services and recommend best‑fit solutions
Translate loosely defined product ideas into working, production‑ready GenAI systems
Core Technical Skills
Strong, hands‑on experience with AWS Bedrock
Deep understanding of Generative AI architectures and design patterns
Practical experience with:
Prompt engineering
Model orchestration
GenAI security, guardrails, and governance
Expertise in AWS cloud‑native services (Lambda, API Gateway, S3, DynamoDB, etc.)
Infrastructure as Code using Terraform and/or CloudFormation
Experience designing secure, scalable, and cost‑efficient cloud architectures
What We’re Looking For
7+ years of experience in cloud architecture or advanced cloud engineering
Proven track record delivering GenAI POCs or production AI solutions
Strong AWS foundation with Solutions Architect–level expertise
Experience working in startup, innovation, or fast‑paced consulting environments
Ability to clearly communicate complex AI concepts to non‑technical stakeholders
AWS certifications strongly preferred
Why This Role Stands Out
Exposure to cutting‑edge GenAI initiatives across multiple startups
High ownership, hands‑on architecture, and real decision‑making authority
Minimal bureaucracy with maximum room for experimentation
Opportunity to influence early‑stage product and platform decisions
Backed by AES’s 22 years of proven delivery credibility
Ready to Make an Impact?
If you’re excited about AWS Bedrock, GenAI platforms, and building real‑world AI solutions at startup speed—without startup risk—we’d love to hear from you.
Apply now and help shape the next generation of AI‑powered products with AES.
This is a remote position.
#J-18808-Ljbffr
Competitive salary
Opportunity for advancement
Training & development
Senior AWS GenAI & Cloud Solutions Architect
Focus: AWS Bedrock | Generative AI | Startup POCs & MVPs
Location: Remote (US-based preferred)
Employment Type: Full-time / Contract / Consulting (Flexible)
Why Join AES?
At AES, you get the rare opportunity to work at the intersection of cutting‑edge Generative AI innovation and enterprise‑grade delivery excellence. As part of our newly launched startup‑focused innovation business unit, you will:
Work hands‑on with AWS Bedrock and leading foundation models on real‑world GenAI use cases
Partner directly with startup founders, CTOs, and product leaders
Design and launch GenAI POCs and MVPs in weeks—not months
Gain exposure to multiple high‑growth startups across industries
Enjoy startup‑style ownership and experimentation with the backing of a 22‑year‑old consulting firm
Choose a flexible engagement model: full‑time, contract, or consulting
If you thrive in fast‑moving environments, enjoy turning ideas into working AI‑driven systems, and want meaningful impact without startup instability, this role was built for you.
About the Role
AES is scaling a dedicated innovation and startup‑focused innovation practice building Generative AI‑enabled cloud solutions for internal and incubated products at AES, all actively exploring how GenAI can accelerate product development, validate ideas, and create competitive advantage.
We are seeking a Senior AWS GenAI & Cloud Solutions Architect who can design, prototype, and operationalize modern GenAI architectures using AWS Bedrock. You will operate in highly ambiguous environments, translating early product concepts into secure, scalable, and testable AI solutions.
What You’ll Do
Architect, build, and deliver Generative AI solutions using AWS Bedrock
Design and implement GenAI POCs, pilots, and MVPs for startup internal product teams
Work with foundation models such as Claude, Titan, Llama, and others via Bedrock
Design and implement Retrieval‑Augmented Generation (RAG) architectures
Build scalable GenAI platforms incorporating:
Vector databases
Embeddings pipelines
Secure data ingestion and processing layers
Integrate GenAI solutions into cloud‑native, containerized architectures
Deploy and manage workloads using Docker, Kubernetes (EKS), ECS, and Fargate
Collaborate closely with product, engineering, and data teams
Evaluate emerging AWS AI and cloud services and recommend best‑fit solutions
Translate loosely defined product ideas into working, production‑ready GenAI systems
Core Technical Skills
Strong, hands‑on experience with AWS Bedrock
Deep understanding of Generative AI architectures and design patterns
Practical experience with:
Prompt engineering
Model orchestration
GenAI security, guardrails, and governance
Expertise in AWS cloud‑native services (Lambda, API Gateway, S3, DynamoDB, etc.)
Infrastructure as Code using Terraform and/or CloudFormation
Experience designing secure, scalable, and cost‑efficient cloud architectures
What We’re Looking For
7+ years of experience in cloud architecture or advanced cloud engineering
Proven track record delivering GenAI POCs or production AI solutions
Strong AWS foundation with Solutions Architect–level expertise
Experience working in startup, innovation, or fast‑paced consulting environments
Ability to clearly communicate complex AI concepts to non‑technical stakeholders
AWS certifications strongly preferred
Why This Role Stands Out
Exposure to cutting‑edge GenAI initiatives across multiple startups
High ownership, hands‑on architecture, and real decision‑making authority
Minimal bureaucracy with maximum room for experimentation
Opportunity to influence early‑stage product and platform decisions
Backed by AES’s 22 years of proven delivery credibility
Ready to Make an Impact?
If you’re excited about AWS Bedrock, GenAI platforms, and building real‑world AI solutions at startup speed—without startup risk—we’d love to hear from you.
Apply now and help shape the next generation of AI‑powered products with AES.
This is a remote position.
#J-18808-Ljbffr