AWS Platform Architect

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role Overview:
The Senior Solutions Architect for AI Platforms will collaborate closely with customers to ideate innovative AI solutions tailored to solve complex business challenges. You will lead the end-to-end process from conceptualization through solution delivery, including detailed project roadmaps, resource planning, sprint execution strategies, and cost estimations. As a key leader within engagements, you will guide engineering teams, ensure high-quality delivery, and maintain transparent communication with clients.

Key Responsibilities:

• Ideate and design AgenticAI and Gen AI solutions in collaboration with client stakeholders to address specific business needs.

• Develop comprehensive project delivery plans, encompassing project roadmaps, resource allocations, sprint planning, and budgeting.

• Lead technical teams through solution delivery, providing mentorship, technical oversight, and ensuring adherence to best practices.

• Manage technical stakeholders, clearly communicating progress, risks, and mitigation strategies throughout the project lifecycle.

• Govern overall solution delivery to ensure timely completion, high quality, and alignment with customer expectations.

• Optimize GPU/compute utilization, storage, and networking for agentic workloads across dev, staging, and production. Operationalize GPU/CPU workloads on AWS 

• Lead the Azure → AWS migration strategy for a large-scale agentic platform. Architect and deploy scalable infrastructure templates & shared services.

Required Qualifications:

• Bachelor's degree in Engineering, Master's degree in Engineering or related discipline Preferred

• Minimum 8 years of experience building and deploying scalable AI systems.

• Experience designing and delivering Generative AI and Agentic AI solutions.

Key Competencies:

• Excellent technical stakeholder management and communication skills.

• Proven capability in first principles thinking, ownership, and strategic decision-making.

• Strong expertise in cloud engineering, particularly AWS: EC2, EKS, Lambda, S3, CloudWatch, SageMaker, IAM, Route53. Must have driven cost optimization strategies across compute, storage, and data transfer on AWS.

• MLOps - AWS Bedrock (AgentCore, foundation models), API Gateway, Cognito, IAM federation

• Infrastructure as Code: Terraform, AWS CDK, or CloudFormation

• Expertise with Docker, Kubernetes (EKS preferred), and scalable microservice deployments, ECS/Fargate, Lambda

• Monitoring and logging setup for AI workloads (e.g., Prometheus, Grafana, CloudWatch), Observability (CloudWatch, Datadog, OpenTelemetry)

• FinOps (Cost Explorer, CUR, token-level chargeback)

• NVIDIA NIM/NGC model deployment

• CI/CD & GitOps (GitLab, ArgoCD/Flux, CodePipeline)

• MLOps - AWS Bedrock (AgentCore, foundation models), API Gateway, Cognito, IAM federation

• End-to-end understanding of model lifecycle, from training to serving. Expert in model registry, versioning, lineage tracking, and deployment automation

• Familiarity with Triton, TorchServe, or custom model inference patterns

• Experience with cost tracking, budget alerts, and resource right-sizing in AWS

• Proven ability to profile GPU/memory usage and optimize for cost-performance tradeoffs.

Preferred Skills:

• Familiarity with LangGraph / LiteLLM Gateway.

• Multi-cloud migration experience (Azure + AWS).

• Knowle