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Available now · Onboard in 7 days
Hire an AI Solutions Architect to design scalable, secure, enterprise-grade AI systems.
Onboard a senior AI Solutions Architect to define reference architectures, choose models and platforms, set MLOps standards, and embed Responsible AI controls across your AI stack.
SASKRN+9
4.9/5
Trusted by 120+ teams shipping AI products
- 10+ years architecting enterprise systems
- LLM, RAG & agent architecture
- Cloud-native MLOps
- Onboard in 7 days
Why hire an AI Solutions Architect
Outcomes you can ship in the first 90 days
Production-ready AI
Reference architectures that survive real load, security review, and business growth — not just demos.
Lower AI total cost
Right-sized infra, model routing, caching, and platform choices reduce AI spend by 30–60%.
Secure & compliant
Architectures aligned to SOC 2, HIPAA, GDPR, and ISO 27001 — with auditable controls and lineage.
Scalable & future-proof
Modular blueprints that swap models, vendors, and components without rewriting your platform.
Core responsibilities
What your AI Solutions Architect will own
Architecture, model strategy, data, security, scalability, and governance — the full surface of an enterprise AI platform.
Reference Architecture
- Design end-to-end AI architecture across LLMs, RAG, agents, and ML services
- Define service boundaries, data flows, and integration patterns
- Document architectural decisions and trade-offs
Model & Platform Strategy
- Choose between hosted LLMs, open-source models, and fine-tuning
- Evaluate AWS Bedrock, Azure OpenAI, Vertex AI, and self-hosted options
- Plan model lifecycle, versioning, and migration strategy
Data & Knowledge Architecture
- Design retrieval, embedding, and vector store strategy
- Plan data ingestion, governance, and lineage for AI use cases
- Architect feature stores, knowledge bases, and caching layers
Security, Compliance & Responsible AI
- Apply zero-trust patterns, secrets management, and PII controls
- Align with SOC 2, HIPAA, GDPR, and AI-specific regulations
- Define guardrails, policy enforcement, and audit trails
Scalability, Reliability & Cost
- Plan for throughput, latency, and concurrency at scale
- Optimize token cost, caching, batching, and model routing
- Design DR, failover, and multi-region resiliency
Lifecycle & Governance
- Define MLOps, CI/CD, and release governance for AI
- Set standards for evaluations, monitoring, and incident response
- Mentor engineers on AI architectural best practices
Skills & expertise
Distributed systems mastery meets AI strategy
Architects who can size infrastructure, choose models, design for compliance, and lead engineering teams to a production-ready AI platform.
- Enterprise AI architecture
- LLM & RAG architecture
- Agentic AI systems
- Cloud architecture (AWS / Azure / GCP)
- Microservices & event-driven design
- MLOps & CI/CD
- Data governance
- Security & zero-trust
- Compliance (SOC 2 / HIPAA / GDPR)
- Cost optimization
- Scalability & reliability
- Technical leadership
AI tools & stack we operate in
Hands-on across cloud, models, data, security, and observability tooling for enterprise AI.
Cloud & AI Platforms
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- Hugging Face
- Databricks
- Snowflake Cortex
Models & Frameworks
- OpenAI GPT-5
- Anthropic Claude
- Google Gemini
- Llama
- Mistral
- LangChain / LlamaIndex
Infrastructure & DevOps
- Kubernetes
- Docker
- Terraform
- Pulumi
- GitHub Actions
- ArgoCD
Data & Vector
- Pinecone
- Weaviate
- Qdrant
- pgvector
- Redis
- Kafka
Security & Compliance
- Vault
- AWS KMS
- OPA
- Cloudflare
- Datadog Security
- Wiz
Observability & MLOps
- Prometheus
- Grafana
- Langfuse
- MLflow
- Weights & Biases
- Arize
Engagement models
Hire on terms that match your stage
Dedicated Full-time
Senior AI Solutions Architect embedded full-time to own end-to-end AI architecture.
- 40 hrs / week
- Full ownership
- Long-term roadmap
Part-time / Fractional
20 hrs/week of strategic architecture leadership — perfect for design reviews and audits.
- Architecture reviews
- Standards setting
- Flexible cadence
Project / Outcome-based
Fixed-scope engagement to deliver an architecture, migration plan, or audit report.
- Defined deliverables
- Milestone billing
- Predictable timeline
How to hire
From first call to first sprint in under a week
02
Shortlist in 48 hours
Receive 2–3 pre-vetted AI Solutions Architects with relevant case studies.
03
Interview & evaluate
Run system design rounds, architecture reviews, and optional paid trial workshops.
04
Onboard in 7 days
Sign, kick off, and start delivery — backed by a 14-day risk-free trial.
FAQs
Hiring an AI Solutions Architect — questions we hear most
What does an AI Solutions Architect do?+
An AI Solutions Architect designs the end-to-end blueprint for your AI systems — model and platform choices, data architecture, security, compliance, scalability, MLOps, and Responsible AI guardrails — so engineering can ship with clarity and confidence.
How is this different from a software architect?+
AI Solutions Architects bring deep expertise in LLM behavior, RAG, agents, vector stores, evaluation, model lifecycle, and AI-specific cost, latency, and compliance trade-offs — on top of strong general distributed systems and cloud architecture skills.
Can you architect across multiple clouds and on-prem?+
Yes. Our architects design for AWS, Azure, GCP, and hybrid or on-prem environments, including air-gapped deployments and data residency constraints common in regulated industries.
Do you cover security, compliance, and Responsible AI?+
Absolutely. Architectures we design align with SOC 2, HIPAA, GDPR, and ISO 27001, and embed Responsible AI principles such as guardrails, audit trails, transparency, and human oversight from day one.
Can you modernize an existing AI platform?+
Yes. We audit current AI systems, identify scalability, cost, security, and quality risks, and produce a phased modernization roadmap — without forcing a full rewrite.
How quickly can the architect start?+
Most engagements start within 7 days of contract signing. Urgent needs can be accelerated to 72 hours.
Ready to hire your AI Solutions Architect?
Share your AI architecture goals and we'll send a shortlist of pre-vetted architects within 48 hours — backed by a 14-day risk-free trial.
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