AI Solutions Architect (LLMs)
Applied AI Architect, Applied AI Engineer and Forward Deployed Engineer at AI labs such as Anthropic and OpenAI, and LLM solutions roles at other AI companies and clouds.
65
Applied AI posts at Anthropic
81
Applied AI and FDE posts at OpenAI
5 to 10+
years of experience asked
Counted on the companies' public job boards on Nov 3, 2026.
Prepare for a company
Cases
Every question is open. The worked answers are in Pro, except the free ones.
10questions
Readiness check for the AI Solutions Architect loop
1.2Mclaims a year
Claims intake for an insurer
140action codes, live
Live call assist on four GPUs
2 weeksbefore launch
Review a design doc: a maintenance agent for 38,000 apartments
4,000inquiries a day
Medical information answers, with requirements added as you go
18.5 sp95, up from 6.8 s
The booking assistant got slow, and nobody deployed anything
1,400audit staff
"Use AI to stop us chasing clients for evidence"
45 minwith the COO
Discovery call: a distributor wants AI for its quotes
30 minwith the VP
Escalation call: a refund assistant after a bad launch
150questions a week
Take-home: a security-controls assistant on the NIST SP 800-53 catalog
What the job posts ask for
- Production work with LLMs: prompting, context engineering, agents, evals and deployment at scale.
- Python, often with a second language such as TypeScript or Java.
- Customer work: discovery, proofs of concept, owning the technical win, presenting to executives.
- Enterprise security, compliance and architecture requirements.
- Some posts ask for a local language, such as French or German.
What the companies say about their interviews
Anthropic
Describes four phases: the application, take-home assessments, interview preparation and live interviews. Take-homes and live interviews are done without AI unless they say otherwise. AI is welcome for preparation.
Their pageOpenAI
Starts with skills-based assessments that vary by team, such as pair coding, take-home projects and technical tests. Final interviews take 4 to 6 hours with 4 to 6 people, over 1 to 2 days.
Their pageSkills and labs
Each case names the skills it tests. These are the labs that train them, by skill.
How LLMs work
5 labs
How LLMs work
5 labs
Building on LLM APIs
5 labs
Building on LLM APIs
5 labs
Agents, tools and MCP
8 labs
Agents, tools and MCP
8 labs
RAG and search
7 labs
RAG and search
7 labs
Evals
6 labs
Evals
6 labs
LLM apps in production
6 labs
LLM apps in production
6 labs
Serving at scale: routing, capacity, caching, cost
4 labs
Serving at scale: routing, capacity, caching, cost
4 labs
Customer-facing skills
No labs yet
Customer-facing skills
No labs yet
Practised in the role-plays: discovery, proofs of concept, architecture docs, executives.
The behavioral round
No labs yet
The behavioral round
No labs yet
Practised in the follow-ups: your stories, told with numbers.
Certification prep in the same plan
Optional. Practice exams for certifications close to this role.
A source tag says which company and role reported a format, how many independent sources describe it and when. It doesn't mean a company uses our question. Every scenario and number is ours. Preporato is not affiliated with Anthropic, OpenAI, Palantir, AWS. These cases help you prepare and don't promise an interview or an offer.