Solutions Architect

Amazon is hiring a Solutions Architect in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock, pgvector and RAG.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Bedrockpgvector

rag

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
2. Translate requirements into Guardrails, Automated Reasoning Checks, data residency configurations, and audit-ready compliance artifacts that regulated enterprises can take to their risk teams.
3. Design and deliver working AI prototypes, then architect the path to production, hardening with eval frameworks, IaC (AWS CDK), observability, and enterprise security
4. 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.
5. 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 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
- • 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.
- • 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.
- 4. AWS Field Signal & Product Influence
- • 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.

Preferred qualifications

- Experience working within software development or Internet-related industries

Our 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.

null

How we rate this

Solutions Architect at Amazon rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on June 23, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGBedrockpgvector

Also common in solutions architect jobs at this level

Python Azure Google Cloud SQL Machine learning AI agents

Pay

Typical solutions architect job: $169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used Bedrock in your day-to-day work.
What are the limits of pgvector that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG, Bedrock, and pgvector. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker