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Software Development · 51 to 200 Employees · New York, US
Hiring: Engineering
What employees say
+ A great place to work with, Everyone are easily approachable, provides room for improvement and good exposure.
− There is none about the organization.
More reviews on the company profile.
Interview experience · Backend Developer
It was average focused on technical abilities more than memorising things. Interviewer was also good nature .Had a great experience This is about Round 1 . More focus was on python fundamentals.
Average difficulty · India · 15 reports
More interview insightsJob description
Overview
Were looking for a highly skilled Technical Architect with deep expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures.
Responsibilities
- Design multi-tenant, enterprise-grade AI systems using AWS services such as:
- Implement best practices for:
- Drive Conversational AI / RAG implementations:
- Collaborate closely with product, engineering, data science, and client teams through architecture reviews and workshops
- Lead full lifecycle AI architecturefrom PoC to productionwith reliability and performance focus
- Design and guide implementation of:
- Ensure security, compliance, and governance:
- Drive client strategy:
Qualifications
- 912 years of overall experience, with robust background in technical architecture and cloud solutions
- Proven experience designing and delivering production-grade AI/ML and GenAI applications
- Strong hands-on expertise across AWS services, especially:
- Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS/Fargate, OpenSearch, RDS
- Deep knowledge of cloud-native architecture patterns:
- microservices
- event-driven systems
- serverless architecture
- Proven ability to lead technical teams and mentor engineers
- Strong client-facing skills:
- requirement gathering
- architecture walkthroughs
- solution presentations
- stakeholder alignment
- Exposure to multi-cloud environments (AWS + Azure/GCP)
- Strong background in building reusable frameworks/platform accelerators for GenAI delivery
- Core Technology Stack
- Cloud, DevOps & Security
- AWS: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
- MLOps/DevOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions), Terraform, AWS CDK
- Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito
- AI/ML & Generative AI .
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Job application FAQ
Last updated 15 September 2026
- How do I apply for AI Architect (Alappuzha) at GoML?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. GoML may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Architect (Alappuzha) remote or on-site in Kochi, Kerala?
- This listing is marked hybrid with location Kochi, Kerala. Confirm details on the job description before applying.
- What skills matter for this AI Architect (Alappuzha) role at GoML?
- This is a mid-level AI Architect (Alappuzha) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.