AWS GenAI Platform Engineer (Cloud Engineer with AWS + AI)

Location: Chennai, Tamil Nadu, India

Date Posted: 13/05/2026

Job description

Key Responsibilities:

Cloud Architecture Engineering (AWS):

Design, build, and operate scalable, secure, highly available AWS workloads (compute, networking, storage, data, serverless).

Develop reference architectures and IaC modules aligned to best practices and guardrails.

DevOps Platform Automation:

Implement CI/CD pipelines, automated testing, and

GitOps workflows. Own Infrastructure as Code (Terraform/CDK/CloudFormation), configuration management, and environment provisioning across dev/test/prod.

Observability Reliability:

Set up logging, metrics, tracing, and SLOs using CloudWatch.

Drive incident response, postmortems, capacity planning, and reliability improvements.

Security Compliance:

Embed security-by-design (IAM, KMS, Secrets Manager), enforce least privilege, and implement threat detection and vulnerability management.

Support compliance needs (e.g., SOC2, ISO 27001, GxP) via policy-as-code and automated controls.

Cost Management FinOps:

Monitor and optimize cloud spend with tagging, budgets, RI/SP management, right sizing, and usage analytics. Advise teams on cost efficient architectures.

Data Integration:

Build data pipelines (AWS Glue, Step Functions, Lambda, EventBridge) and API integrations (API Gateway, AppSync, ALB/NLB) to support AI workloads and product features.

AI Platform Enablement (Bedrock, GenAI):

Design and operate Amazon Bedrock integrations, model access patterns, prompt and retrieval pipelines, and RAG architectures using AWS native and open tooling.

Agentic AI Orchestration:

Implement agentic workflows (tool use, planning, memory) with frameworks (LangChain, AWS Agents for Bedrock) and secure tool adapters (search, code, data).

Manage observation and safety layers.

MLOps for Foundation Models:

Establish versioning, evaluation, governance, and rollout practices for prompts, datasets, embeddings, and model variants.

Automate offline/online evaluation, A/B tests, and canary releases.

Cross Functional Collaboration:

Partner with product, data science, security, and compliance to translate requirements into robust cloud and AI solutions.

Provide technical documentation and knowledge sharing.

Required Qualifications:

Education/Experience:

Bachelor’s degree in Computer Science/Engineering or equivalent experience;

Minimum 6-9 years of experience in the IT Industry.

5+ years in cloud engineering/DevOps with 3+ years hands-on in AWS.

AWS Expertise:

Proficiency in IAM, VPC, EC2/EKS, Lambda, API Gateway/AppSync,

S3, RDS/Aurora/DynamoDB, CloudWatch, KMS, Secrets Manager, Step Functions, EventBridge, Glue.

DevOps IaC:

Strong skills in Terraform (or AWS CDK/CloudFormation), CI/CD

(GitHub Actions/GitLab CI/AWS CodePipeline), containerization (Docker, Kubernetes/EKS), and artifact management.

Security:

Solid understanding of cloud security, networking, encryption, key management, least privilege, and policy-as-code (e.g., OPA/AWS Config).

AI Skills:

Hands-on with Amazon Bedrock, LLM integration, prompt engineering, RAG pipelines (vector stores like OpenSearch, Aurora, or DynamoDB + embedding), and

agent frameworks (e.g., LangChain, Agents for Bedrock). Experience with model evaluation, guardrails, and content moderation.

MLOps/Governance:

Knowledge of versioning (DVC/Git), experiment tracking

(MLflow/SageMaker), feature/embedding stores, A/B testing, and deployment strategies for AI features.

Soft Skills:

Strong communication, documentation, collaboration, and ownership mindset. Comfortable working in regulated environments with risk‑based decision making.

Key Job Details

Primary Location

Chennai, Tamil Nadu, India

Job Type

Experienced

Required Experience

6

Skill

CIS-AWS Infra - DevOps.

Travel

No

Date Posted

13/05/2026