Solutions Architect
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Molnteknik · Artificiell intelligens
I korthet
AWS is seeking Solutions Architects to embed in strategic enterprise accounts in India to design and build production AI systems using technologies like Amazon Bedrock and AgentCore. The role involves leading discovery, architecting solutions, building prototypes, and influencing the AWS AI roadmap.
Ansvarsområden
- 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 working AI prototypes, then architect the path to production, hardening with eval frameworks, IaC (AWS CDK), observability, and enterprise security.
- Architect and co-develop production MCP servers, RAG pipelines, multi-agent orchestrations, and LLM-as-judge eval frameworks alongside customer engineering teams.
- Codify repeatable deployment patterns into AWS-wide playbooks and feed structured field signal to Amazon Bedrock PM and AgentCore engineering teams, shaping the AWS AI roadmap for India.
- 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.
- 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 for maximum early impact.
- Codify repeatable deployment patterns into AWS-wide playbooks, reference architectures, and GitHub samples.
- Feed structured field signal to AWS Engineering teams.
- Collaborate with AWS SA leadership, Specialists, Partner SA, and ISV teams to deliver joint engagements.
- Represent AWS AI at customer EBCs, industry conferences, and CXO briefings.
Krav
- 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 delivering products to volume production.
- Experience translating customer needs into business requirements.
- Experience in customer engagement.
- Experience navigating prospective accounts from and into a senior executive level to identify new customer opportunities.
Önskade kvalifikationer
- Experience working within software development or Internet-related industries.
Förmåner
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
#Solutions Architect#AI#Amazon Bedrock#AgentCore#Strands Agents