Solutions Architect
Technology, Data & Digital · Software & Web Development · Software Engineering · Cloud Engineering · Data Science
In short
AWS is seeking a Solutions Architect in Bengaluru, India, to design and build production AI systems for strategic enterprise accounts. You will lead engagements from discovery to rollout, architecting solutions on Amazon Bedrock and AgentCore, and influencing the AWS AI roadmap. This role requires extensive experience in technology domains, cloud computing, and customer engagement.
Responsibilities
- Lead discovery through production rollout for strategic enterprise accounts, co-building and architecting agentic systems on Amazon Bedrock, AgentCore, and Strands Agents.
- Translate requirements into Guardrails, Automated Reasoning Checks, data residency configurations, and audit-ready compliance artifacts.
- Design and deliver AI prototypes, architecting the path to production with eval frameworks, IaC, observability, and enterprise security.
- Architect and co-develop production MCP servers, RAG pipelines, multi-agent orchestrations, and LLM-as-judge eval frameworks.
- Codify repeatable deployment patterns into AWS-wide playbooks and feed field signal to Amazon Bedrock PM and AgentCore engineering teams.
Requirements
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- 2+ years of design, implementation, or consulting in applications and infrastructures experience.
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience.
- Experience in industry work in a related environment.
- Experience in customer engagement.
- Experience with AWS technologies.
- Lead discovery workshops with customer CTO / engineering teams to map high-value AI use cases.
- Own technical scoping, solution architecture for agentic AI workloads on Amazon Bedrock and AgentCore.
- Build PoCs leveraging Amazon Bedrock, Strands Agents SDK, Amazon AgentCore.
- Design and implement multi-agent orchestrations, MCP tool servers, RAG pipelines (Knowledge Bases for Bedrock, OpenSearch Serverless, Aurora pgvector), and LLM-as-judge evaluation frameworks.
- Deliver IaC (AWS CDK / CloudFormation / Terraform) for repeatable, production-grade deployment patterns.
- Navigate India's regulatory and translate requirements into Bedrock Guardrails, Automated Reasoning Checks, and data residency configurations.
- Architect AI systems for auditability: model version pinning, prompt logging, PII redaction, inference geography (ap-south-1), and compliance artifact generation.
- Deliver eval-driven acceptance criteria: define benchmark suites, run eval loops, and produce launch-evidence packages.
- Run structured discovery to identify AI leverage points and sequence delivery.
- Build long-term technical relationships with customer engineering leadership.
- Codify repeatable deployment patterns into AWS-wide playbooks, reference architectures, and GitHub samples.
- Feed structured field signal (model gaps, tooling friction, feature requests, eval results) to AWS Engineering teams.
- Collaborate with AWS SA leadership, Specialists, Partner SA, and ISV teams.
- Represent AWS AI at customer EBCs, industry conferences, and CXO briefings.
Desired Qualifications
- Experience working within software development or Internet-related industries.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Experience working with AWS technologies from a dev/ops perspective.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
- If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
#Solutions Architect#AWS#AI#Artificial Intelligence#Machine Learning#Amazon Bedrock#AgentCore#Strands Agents#Enterprise Accounts#Cloud Computing#Systems Engineering#Infrastructure#Security#Networking#Data Analytics#IaC#AWS CDK#CloudFormation#Terraform#RAG pipelines#LLM#Bengaluru#Karnataka#India