Solutions Architect

AWS is hiring for Solutions Architects who embeds directly inside Indias most strategic enterprise accounts to architect production AI systems that deliver measurable business impact. The role will support complete engagement from discovery and scoping through architecture and help build/co-build.

Key job responsibilities
Lead discovery through production rollout for strategic enterprise accounts co-building and architecting agentic systems on Amazon Bedrock AgentCore and Strands Agents
requirements into Guardrails Automated Reasoning Checks data residency configurations and audit-ready compliance artifacts that regulated enterprises can take to their risk teams.
and deliver working AI prototypes then architect the path to production hardening with eval frameworks IaC (AWS CDK) observability and enterprise security
and co-develop production MCP servers RAG pipelines multi-agent orchestrations and LLM-as-judge eval frameworks alongside customer engineering teams leaving them with complete owned deployment packages they can operate independently.
repeatable deployment patterns into AWS-wide playbooks and feed structured field signal (model gaps eval results feature friction) directly to Amazon Bedrock PM and AgentCore engineering teams shaping the AWS AI roadmap for India.


- 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 across multiple industry verticals.
- 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 that the customer can own post-engagement.
- Navigate Indias 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 against domain-specific test sets and produce launch-evidence packages that satisfy customer risk / model governance teams.
- Run structured discovery (jobs-to-be-done process mining failure mode analysis) to identify AI leverage points and sequence delivery for maximum early impact.
- Build long-term technical relationships with customer engineering leadership and proactively surface new AI deployment opportunities across the account lifecycle.
- Codify repeatable deployment patterns into AWS-wide playbooks reference architectures and GitHub samples that scale insights across hundreds of customers.
- 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 to deliver joint engagements and avoid duplicating effort.
- Represent AWS AI at customer EBCs industry conferences and CXO briefings you are the technical face of AWSs GenAI capability in the field.

- 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

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