Cloud + GenAI Architect
AWS cloud architecture and GenAI delivery that ships.
Pipeline-e combines AWS platform engineering with production-grade GenAI. We design secure cloud foundations, build AI-ready data pipelines, and deliver governed RAG experiences for public-sector and enterprise teams.
AWS foundations
Landing zones, identity, networking, and secure multi-account design.
GenAI platform build
RAG pipelines, model gateways, and enterprise AI UX.
Security + FinOps
Least-privilege design, audit logging, and cost guardrails.
Capabilities
A full-stack cloud and AI delivery surface.
We design, build, and operate modern AWS platforms with production-grade GenAI baked in. Every engagement includes security, reliability, and cost discipline.
Cloud architecture
Landing zones, VPC design, identity, and multi-account governance.
Platform engineering
Terraform, CI/CD, GitOps, and golden-path developer platforms.
GenAI enablement
Bedrock, OpenAI, or local LLMs with RAG pipelines and guardrails.
Security & compliance
Zero-trust access, audit logging, data retention, and PCI/SOC alignment.
Reliability + FinOps
Observability, SLOs, backups, and cost guardrails from day one.
Embedded delivery
Senior engineers embedded with your team or full turnkey delivery.
GenAI readiness
From data to governed AI experiences.
We build GenAI systems that are safe, explainable, and aligned with public-sector policies. Expect clear data flows, human review options, and measurable outcomes.
Data pipeline + RAG
Secure ingestion, chunking, and vector search with pgvector.
Model routing
Bedrock, OpenAI, or local models with policy-based selection.
Governance + audit
PII redaction, access controls, and complete observability.
Product UX
Chat and workflow interfaces that teams actually adopt.
Engagement model
Move from discovery to delivery fast.
We start with a short discovery sprint, then execute in delivery waves with clear milestones and demos.
1. Architecture sprint
Assess goals, security needs, and data readiness. Deliver a reference architecture and scope.
2. Build + integration
Implement cloud foundations, GenAI pipelines, and product surfaces with CI/CD.
3. Operate + optimize
Monitoring, FinOps, and continuous improvements with training for your team.
Tooling + credentials
AWS-first, GenAI-ready stack.
Led by an AWS Certified Solutions Architect with Kubernetes Cloud Native Associate credentials and GenAI-focused training aligned to AWS AI Practitioner tools.
Ready to plan your architecture?
Let us scope your AWS + GenAI roadmap.
Share your goals, data sources, and compliance needs. We will propose a phased plan with milestones.