Solutions Architect

Amazon Web Services (AWS)

Bengaluru

On-site

INR 400,000 - 700,000

Full time

28 hours ago

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Job summary

AWS India - Karnataka is seeking Solutions Architects to embed within India's enterprise accounts, architecting production AI systems with measurable business impact. You will guide engagements from discovery to production, co-building agentic AI workloads and ensuring governance across data residency and security.

Lead workshops, design multi-agent pipelines, and deliver IaC for repeatable deployments, while shaping AWS AI roadmaps for the India market and driving customer success.

Qualifications

4+ years of technology experience in software, cloud, systems, security or networking.
2+ years in design, implementation, or consulting for applications and infrastructure.
10+ years of IT development/implementation experience in software or internet industries.
Experience with AWS technologies and customer engagement.
Lead discovery workshops with customer CTOs/engineers to map AI use cases.

Responsibilities

Lead discovery through production rollout for strategic enterprise accounts and architect AI systems on Bedrock and related tools.
Translate requirements into Guardrails, data residency configurations, and audit-ready artifacts for risk teams.
Design and deliver AI prototypes and production-ready architectures with IaC, observability, and security.
Co-develop MCP servers, RAG pipelines, multi-agent orchestrations, and eval frameworks with customer teams.
Create repeatable deployment patterns and feed signals to AWS Bedrock/AgentCore teams to guide AI roadmap in India.
Collaborate with AWS leadership and ISV teams to deliver joint engagements and avoid duplications.

Skills

Cloud computing

Software development

Systems engineering

Infrastructure

Security

Networking

Data analytics

Customer engagement

AWS technologies

Discovery workshops

Tools

Amazon Bedrock

AgentCore

Strands SDK

AWS CDK

CloudFormation

Terraform

OpenSearch Serverless

Aurora pgvector

Job description

Description

AWS is hiring for Solutions Architects, who embeds directly inside India's 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
Translate requirements into Guardrails, Automated Reasoning Checks, data residency configurations, and audit-ready compliance artifacts that regulated enterprises can take to their risk teams.
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, leaving them with complete, owned deployment packages they can operate independently.
Codify 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.

Basic Qualifications

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 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 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 AWS's GenAI capability in the field.