AI Architecture
End-to-end AI solution design: use-case framing, reference architecture, risk & compliance, and operating model.
- RAG / agent architectures
- Data & retrieval strategy
- Security, privacy, governance
Applied AI • Cloud Architecture • Platform Engineering
Applied AI & Cloud Architecture
I help companies design and build production-grade AI systems and cloud platforms — secure, scalable, and ready for real users. From strategy and architecture to hands-on delivery: data ingestion, RAG/search, APIs, CI/CD, and operations.
16+years in cloud & software
$12Mplatform budget ownership
AWS + Azuremulti-cloud delivery
Stavros Amanatidis
Applied AI & Cloud Architecture Consultant
TOGAF 9.2
Azure Solutions Architect Expert
DevOps Engineer Expert
AWS Solutions Architect
Services
Pragmatic, hands-on consulting with senior-level ownership — strategy, architecture, and execution.
AI Engineering
Build production-grade AI features with measurable quality: evaluation, observability, and continuous improvement.
- Embeddings & vector indexes
- Prompting, tools, guardrails
- Automated tests & evals
Cloud & Platform Engineering
Design and evolve internal platforms that accelerate teams: self-service, templates, golden paths, and IaC.
- Azure & AWS landing zones
- Terraform / IaC modernization
- Developer experience (DX)
DevOps & CI/CD
Reduce lead time and MTTR by improving pipeline reliability, release discipline, and quality engineering.
- Build & release architecture
- Test automation strategy
- Operational excellence KPIs
Modernization & Delivery
Upgrade legacy systems with a clear path to value: incremental modernisation, integration patterns, and clean code.
- .NET / C# / JavaScript
- API-first integrations
- Performance & cost optimization
Leadership & Mentoring
Hands-on leadership for teams in transition: architecture guardrails, coaching, and engineering excellence.
- Team enablement & standards
- Stakeholder alignment
- Audit-ready documentation
Proof, not hype
Selected highlights from recent work — focused on outcomes and production readiness.
2022–2025
Director, Cloud & Platform Engineering (Genmab)
Led global teams across AWS/Azure, platform and quality engineering. Owned technical roadmap for a self-service engineering platform supporting R&D, data and ML/AI workloads in a regulated environment. Managed a $12M budget.
2021–2022
Group Manager / Solution Architect (Avanade)
Drove Azure security, scalability, reliability, and cost optimization for enterprise clients. Delivered API-first integration architecture and standardized CI/CD & IaC practices across teams.
2016–2021
Software Engineer (Microsoft)
Built features for Dynamics 365 and improved core product capabilities. Integrated early AI/ML features to add predictive analytics using AzureML.
Now
Consulting: AI + Platform + Delivery
Hands-on consulting across AI engineering, platform engineering, and modernization — including data ingestion pipelines, embeddings/vector indexes, cloud infrastructure, and CI/CD foundations.
How I typically engage
Week 1: discovery & architecture baseline. Weeks 2–4: build the first production slice. Ongoing: scale-out, guardrails, and coaching.
About
I’m a hands-on AI and cloud leader with deep engineering roots. I’ve delivered enterprise-grade platforms across Azure and AWS, led global engineering teams, and built software from startups to large-scale SaaS.
I care about what actually makes systems work in production: security, reliability, cost control, quality engineering, and clear architecture guardrails that teams can follow.
AI architecture & agents
RAG & vector search
Azure / AWS
Platform engineering
CI/CD + test automation
Enterprise architecture (TOGAF)
Contact
If you want a senior consultant who can both design the architecture and help ship it — let’s talk.