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 current 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 ForRequired:

- 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.

📌 Senior Solutions Architect AI Solutions (Hyderabad)
🏢 Ibexlabs
📍 Hyderabad