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

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

AI in this role

Architect production AI systems, agentic workflows, and RAG pipelines for strategic enterprise accounts as an AWS Solutions Architect.

BedrockpgvectorSageMakerAmazon BedrockAWS CdkTerraformPostgreSQLPython

prompt-engineeringragsolutions-architectureagentic-aicloud-architecturemachine-learning

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
1. End-to-End Agentic AI Deployment
• 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.

2. Regulated Industry Delivery
• 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.

3. Customer Engineering Partnership
• 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.

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.

Basic qualifications

- 3+ years of working with or evaluating AI systems experience
- Experience working directly in customer implementations
- Experience in a technical position
- • Production experience with LLMs: advanced prompt engineering, multi-agent architectures, RAG pipeline design, evaluation frameworks, and inference optimization.
- • Strong programming skills in Python; proficiency in at least one of TypeScript/Java/Golang. Comfortable writing production-grade code, not just notebooks.
- • Hands-on experience with AWS AI/ML services: Amazon Bedrock (Knowledge Bases, Guardrails, Model Customization), SageMaker, and the broader AWS stack (Lambda, ECS/EKS, RDS/Aurora, OpenSearch, Step Functions).
- • Experience designing distributed systems at enterprise scale: API design, async patterns, event-driven architectures, security (IAM, VPC, KMS), and observability (CloudWatch, X-Ray, OTEL).
- • Demonstrated ability to embed with enterprise customer teams and deliver working prototypes under ambiguity, time pressure, and evolving requirements.
- • Strong communication skills: able to run technical discovery with engineering teams and translate tradeoffs into decisions for CTO/CIO audiences.
- • You identify the right next action without waiting for direction, and you drive clarity rather than seeking it.

Preferred 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

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.

How we rate this

Solutions Architect at Amazon rates 75 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.
Seniority: senior.
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

Prompt engineeringRAGSolutions ArchitectureAgentic AICloud ArchitectureMachine learningBedrockpgvector

Also common in solutions architect jobs at this level

Azure Google Cloud SQL Machine learning AI agents Kubernetes

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 do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, Solutions Architecture, Agentic AI, and Cloud Architecture. 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.

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