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Job Post Details

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AWS– Agentic AI Platform (AWS, Bedrock, Multi-Tenant Control Plane) - job post

CloudiQS
Remote
Full-time

Full job description

About the Role

CloudiQS is exiting that we are building a next-generation agentic AI control plane for enterprises and consulting partners.
This platform will allow organisations to:

  • Build, configure, and version AI agents
  • Integrate data sources, tools, and AWS services
  • Deploy agents into enterprise AWS accounts
  • Monitor cost, performance, compliance, and behaviour
  • Manage agent lifecycle end-to-end (design → configure → test → deploy → monitor)

You will be the technical owner and Lead Engineer responsible for architecting and building the platform from the ground up.

This is NOT a basic chatbot builder — this is a full enterprise-grade AgentOps platform, aligned with AWS Bedrock AgentCore, multi-provider LLM routing, secure multi-tenant deployments, and deep observability into agent cost and behaviour.

Key Responsibilities 1. Platform Architecture & Backend

  • Design and implement the multi-tenant agent control plane on AWS
  • Build backend microservices for:
  • Agent creation wizard
  • Agent Studio (configuration, prompts, tools, data, memory, security, grounding)
  • Model selection & cost optimisation
  • Data ingestion pipelines (S3, DynamoDB, RDS, Connectors)
  • Deployment engine (ECS/Lambda/EKS)
  • Monitoring, logging, and audit events
  • Implement LLM Gateway / LiteLLM for multi-provider routing (Bedrock, OpenAI, Anthropic)

2. Frontend / UX

  • Build clean, modular, React-based interface with:
  • Workspace + agent library
  • Agent creation wizard (multi-step, AI-assisted)
  • Agent Studio tabs (Model, Knowledge, Data Sources, Tools, Memory, Security, Advanced)
  • Test & validation playground
  • Deployment dashboard
  • Monitoring dashboard (tokens, cost, latency, failures)

3. AWS Integration

You must be deeply experienced with:

  • Amazon Bedrock (models, guardrails, knowledge bases, agents)
  • IAM & KMS for granular agent permissions
  • Lambda, Step Functions, ECS for runtime orchestration
  • DynamoDB, S3, RDS for agent data + metadata
  • CloudWatch & CloudTrail for observability and auditing
  • Cognito for workspace identity management

Bonus:

  • Experience implementing multi-provider model gateways
  • Experience integrating LiteLLM or similar (smart routing, cost controls)

4. Agent Lifecycle (Core Capability)

You will design and implement:

  • Agent versioning
  • Rollback workflow
  • Deployment approval workflow
  • Automated testing:
  • latency, correctness, grounding, guardrail hits
  • Compliance and audit reporting
  • Cost optimisation logic

5. Security & Compliance

Build enterprise-grade security features:

  • PII detection
  • Guardrails configuration
  • IAM policy generation
  • Encryption at rest and transit
  • Audit logs, activity monitoring
  • Regional data residency

Required Skills: Technical (Must-Have)

✔ Expert in AWS architecture (5+ years)
✔ Deep knowledge of Amazon Bedrock
✔ Experience with LLM systems, agents, RAG, memory
✔ Strong backend engineering with Python or Node.js
✔ Frontend capability (React, Next.js, TypeScript)
✔ Experience building enterprise SaaS platforms
✔ Strong understanding of:

  • Multi-tenant architectures
  • Authorisation models
  • Event-driven systems
  • API design
  • Observability & monitoring

Nice to Have

  • Experience with LangChain, CrewAI, AgentCore, or similar agent frameworks
  • Experience in cost optimisation for AI workloads
  • Knowledge of MLOps or AIOps pipelines
  • Worked with consulting teams or enterprise customers

What You Will Build

As the Lead Engineer, you will help design and deliver:

  • An internal control plane for building and shipping agents
  • A marketplace-ready platform that customers can deploy inside their own AWS account
  • A partner-ready system for AWS and consulting partners

This is an opportunity to build one of the most advanced agent lifecycle and deployment platforms on AWS today.

Why Work With Us?

  • You own the architecture
  • You work directly with founders
  • No legacy systems — greenfield AI platform
  • Massive market demand (enterprise AI agents + governance)
  • Opportunity to build a flagship product in the Agentic AI ecosystem

How to Apply

Send your CV + GitHub + portfolio to:
jobs@cloudiqs.com

Job Type: Full-time

Pay: ₹1,660,000.00 - ₹2,075,000.00 per year

Experience:

  • AWS Engineer: 5 years (Required)
  • AWS Architect: 5 years (Required)

Work Location: Remote

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