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GenAI Solutions Architecture

L6 Staff/Principal · 810h · 11 courses · 270 chapters

Design enterprise GenAI reference architectures, create ADRs and technical standards, bridge GenAI with enterprise workflows.

Role-alignedHands-on labsCapstone project30-day money-back

What you'll own in this role

Core responsibilities this discipline prepares you for.

Define enterprise GenAI architecture

with proper documentation and governance

Write Architecture Decision Records (ADRs) for GenAI system design choices with trade-off analysis
Design reference architectures for common enterprise GenAI use cases
Create ADRs, design reference architectures, and present trade-off analyses to stakeholders

Design scalable RAG systems

at enterprise scale

Architect full RAG stacks: document processing → embedding pipelines → pgvector → hybrid search with reranking
Design multi-tenant data isolation with embedding pipeline separation and row-level security
Benchmark RAG systems against enterprise-scale document volumes for throughput and accuracy

Architect multi-agent systems

with MCP mesh and A2A network topology

Design MCP mesh architecture for distributed tool access across organizational boundaries
Plan A2A agent network topologies with lifecycle governance and communication protocols
Stress-test multi-agent architectures with simulated failure scenarios and cascading fault injection

Lead PoC development and production rollouts

with model selection and cost estimation

Compare models across providers with cost-per-request modeling and quality benchmarking
Build prototype evaluation frameworks with production readiness checklists and go/no-go criteria
Evaluate models for specific use cases, build cost projections, and create decision frameworks

Design GenAI governance architecture

— RBAC, audit trails, and compliance

Build multi-tenant GenAI governance with role-based access control for models, prompts, and data
Design audit trail architecture with policy-as-code enforcement and compliance reporting
Architect governance for multi-business-unit enterprises and validate regulatory compliance

Oversee operational architecture

— observability, FinOps, SLA management

Design full-stack observability architecture spanning metrics, logs, traces, and LLM-specific telemetry
Architect FinOps dashboards and incident response workflows with SLA definition and monitoring
Validate operational architecture designs against production SLA targets and failure scenarios

Integrate GenAI with enterprise data platforms

— pipelines, knowledge graphs, streaming

Design data architectures integrating PostgreSQL, pgvector, Kafka streaming, Neo4j, Redis, and MinIO
Architect data flows that support multiple GenAI use cases simultaneously across shared infrastructure
Build data architecture designs for multi-use-case enterprise scenarios with isolation and scaling

Present architecture decisions

with cost/risk analysis to leadership

Apply ADR methodology with structured trade-off analysis and risk quantification frameworks
Conduct architecture reviews with stakeholders and defend design decisions under scrutiny
Write ADRs, conduct architecture reviews, and present cost/risk arguments for design choices

Tools you'll ship with

Industry-standard stack for current L4–L6 GenAI engineering roles.

LiteLLMOpenAI SDKAnthropic SDKGoogle ADKLangGraphLlamaIndexDSPyRAGASNeMo GuardrailsOpenTelemetryPrometheusGrafanaK8spgvector

Your learning route

11 courses · sequenced for compounding · 270 chapters · ~810 hours

Step 1 · Foundations

Python Essentials for Agent Builders

13 chapters

Step 2

LLM Foundations for Agent Builders

20 chapters

Step 3

Kubernetes Essentials for GenAI Engineers

17 chapters

Step 4

Web APIs & Services for GenAI Engineers

12 chapters

Step 5

Data Infrastructure Essentials for GenAI

10 chapters

Step 6

GenAI Inference Engineering

15 chapters

Step 7

GenAI Agent Engineering

16 chapters

Step 8

Enterprise LLM Customization

11 chapters

Step 9

GenAI Operations

10 chapters

Step 10

GenAI Evaluation, Safety & Governance

14 chapters

Step 11 · Capstone

GenAI Architecture & Design Patterns

132 chapters

Start the GenAI Solutions Architecture discipline today

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