The Role
Own end-to-end architecture for AI/ML and generative AI customer engagements on AWS. Design Well-Architected solutions using services such as Amazon Bedrock and SageMaker, lead discovery workshops and architecture reviews, support AWS co-sell opportunities, prototype with AI-assisted coding tools, mentor technical teams, evaluate emerging services, and develop reusable architectures and playbooks.
Summary Generated by Built In
About Ibexlabs
Ibexlabs is an AWS Premier Tier Services Partner and AWS Managed Service Provider, recognized as AWS's 2025 Global MSP Partner of the Year and holder of the AWS AI Competency. We help enterprises build, secure, and run mission-critical workloads on AWS, spanning 24/7 managed cloud operations, FinOps, managed security, and a fast-growing applied AI and generative AI practice. We work hand-in-hand with AWS account teams and enterprise customers across industries, combining deep platform expertise with a hands-on, outcomes-driven approach.
About the Role
Twelve months into this role, you'll have designed and delivered multiple AI-enabled AWS architectures for our customers . From generative AI applications built on Amazon Bedrock to well-architected data and ML platforms — while becoming a trusted technical voice in our AWS partnership, helping scope and win new engagements.
Who You Are
- Driven and self-directed. You don't wait to be told what's next, and you push engagements forward without hand-holding.
- Genuinely passionate about bringing new technologies to customers, but you never lose sight of the business value and ROI those technologies need to deliver.
- Comfortable working fast and iteratively, using AI-assisted "vibe coding" tools such as Claude Code to stand up quick proofs of value that get customers to a business case faster.
What You'll Do
- Own end-to-end solution architecture for customer engagements involving AI/ML and generative AI workloads on AWS, from discovery through delivery.
- Design and review AWS Well-Architected solutions spanning compute, data, security, and AI/ML services, including Amazon Bedrock, SageMaker, and related managed AI services.
- Partner directly with AWS account teams and specialist Solutions Architects to scope opportunities, run technical validations, and support proposals and SOWs as an AWS partner.
- Lead technical discovery workshops and architecture reviews with customer stakeholders, translating business goals into concrete AWS designs.
- Use AI-assisted development ("vibe coding") tools like Claude Code to rapidly build proofs of value and working prototypes that demonstrate business impact to customers early in the sales cycle.
- Mentor solutions engineers and delivery teams on AI architecture patterns, cost optimization, and AWS best practices.
- Track the evolving AWS AI/ML and generative AI service landscape and evaluate new services for customer applicability.
- Contribute to reusable reference architectures, accelerators, and playbooks that help scale the practice.
What We're Looking For
Required:
- 8–10 years of experience in solutions architecture, cloud engineering, or a related technical role, with significant hands-on AWS experience.
- Demonstrated experience designing and deploying AI/ML or generative AI solutions on AWS (e.g., Bedrock, SageMaker, or comparable services).
- Experience working within an AWS Partner or systems integrator environment — scoping engagements, supporting AWS co-sell motions, or working alongside AWS account teams.
- Strong working knowledge of the AWS Well-Architected Framework across security, reliability, cost, and operational excellence.
- Excellent communication skills, with experience presenting architecture and recommendations to both technical and business stakeholders.
- Ability to maintain significant overlap with US time zones to support collaboration with US-based partners and customers.
- Hands-on comfort with AI-assisted coding tools (e.g., Claude Code) to prototype quickly and translate ideas into demonstrable customer value.
Preferred:
- AWS certifications such as Solutions Architect – Professional, Machine Learning Specialty, or equivalent.
- Experience with infrastructure-as-code (Terraform, CloudFormation, or AWS CDK).
- Background in FinOps, managed services, or security within cloud environments.
- Prior experience in a pre-sales or other customer-facing technical role.
Skills Required
- 8–10 years of experience in solutions architecture, cloud engineering, or a related technical role
- Significant hands-on AWS experience
- Experience designing and deploying AI/ML or generative AI solutions on AWS, such as Bedrock or SageMaker
- Experience in an AWS Partner or systems integrator environment, including engagement scoping, AWS co-sell, or collaboration with AWS account teams
- Strong knowledge of the AWS Well-Architected Framework across security, reliability, cost, and operational excellence
- Excellent communication and presentation skills for technical and business stakeholders
- Ability to maintain significant overlap with US time zones
- Hands-on comfort with AI-assisted coding tools such as Claude Code
- AWS certifications such as Solutions Architect Professional or Machine Learning Specialty, or equivalent
- Experience with infrastructure as code using Terraform, CloudFormation, or AWS CDK
- Background in FinOps, managed services, or cloud security
- Prior pre-sales or customer-facing technical experience
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The Company
What We Do
Ibexlabs is an AWS Premier Tier Services Partner providing enterprise cloud, data, and artificial intelligence consulting and managed services. The company designs, deploys, and operates secure, compliant AWS solutions, supporting cloud transformation, migration and modernization, data strategy, AI implementation, cybersecurity, and ongoing infrastructure operations. It serves organizations ranging from growing businesses to regulated enterprises with scalable, production-ready technology solutions at scale.
