Solutions Architect
Technology, Data & Digital · Software & Web Development · Software Engineering · Cloud Engineering · Data Science
In short
AWS seeks a Solutions Architect in Bengaluru, India, to design and build production AI systems for strategic enterprise accounts. The role involves leading discovery, architecting solutions on Amazon Bedrock and AgentCore, and influencing the AWS AI roadmap through field signals.
Responsibilities
- Lead discovery, scoping, architecture, and co-building of AI systems on Amazon Bedrock, AgentCore, and Strands Agents.
- Translate requirements into Guardrails, Automated Reasoning Checks, data residency configurations, and compliance artifacts.
- Design and deliver AI prototypes, architecting the path to production with eval frameworks, IaC, security, and observability.
- Co-develop production MCP servers, RAG pipelines, multi-agent orchestrations, and LLM-as-judge eval frameworks.
- Codify repeatable deployment patterns into AWS playbooks and feed field signals to product teams.
- Lead discovery workshops with CTOs and engineering teams to map AI use cases.
- Own technical scoping and solution architecture for agentic AI workloads.
- Build PoCs leveraging Amazon Bedrock, Strands Agents SDK, and AgentCore.
- Implement multi-agent orchestrations, MCP tool servers, RAG pipelines, and evaluation frameworks.
- Deliver IaC (AWS CDK, CloudFormation, Terraform) for production-grade deployments.
- Architect AI systems for auditability, including model versioning, prompt logging, PII redaction, and inference geography.
- Build long-term technical relationships with customer engineering leadership.
- Codify deployment patterns into playbooks, reference architectures, and GitHub samples.
- Feed field signals to AWS Engineering teams.
- Collaborate with AWS SA leadership, Specialists, Partner SAs, and ISVs.
- Represent AWS AI at customer events and industry conferences.
Requirements
- 4+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- 2+ years of experience in design, implementation, or consulting for applications and infrastructures.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
- Experience in industry work in a related environment.
- Experience in gathering test requirements to create detailed test plans and defining quality metrics.
- Experience in customer engagement.
- Experience utilizing AI/ML tools/techniques to develop large-scale optimization models.
- Experience with IaC (AWS CDK / CloudFormation / Terraform).
- Experience navigating India's regulatory environment and translating requirements into Bedrock Guardrails, Automated Reasoning Checks, and data residency configurations.
Desired Qualifications
- Experience working within software development or Internet-related industries.
- Experience building PoCs leveraging Amazon Bedrock, Strands Agents SDK, Amazon AgentCore.
- Experience designing and implementing multi-agent orchestrations, MCP tool servers, RAG pipelines (Knowledge Bases for Bedrock, OpenSearch Serverless, Aurora pgvector), and LLM-as-judge evaluation frameworks.
- Experience architecting AI systems for auditability: model version pinning, prompt logging, PII redaction, inference geography (ap-south-1), and compliance artifact generation.
- Experience feeding structured field signal (model gaps, tooling friction, feature requests, eval results) to AWS Engineering teams.
- Experience collaborating with AWS SA leadership, Specialists, Partner SAs, and ISV teams.
- Experience representing AWS AI at customer events, industry conferences, and CXO briefings.
Benefits
- Inclusive culture that empowers Amazonians.
- Workplace accommodations and adjustments for individuals with disabilities during the application, hiring, and onboarding process.
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