Job opportunity
AI Systems Architect
DarkRoast Design
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We’re building an AI intelligence infrastructure embedded inside a B2B platform used by consumer brands to manage creative work, assets, and workflows.
This infrastructure is designed to support a wide range of intelligent and intuitive product features, including (but not limited to) conversational interfaces, image generation, contextual recommendations, automation, analysis, and decision support.
This is not a chatbot project.
This is not a ChatGPT wrapper.
Senior AI Systems Architect
We’re looking for a senior AI Systems Architect to design the foundational intelligence layer that powers these capabilities in a way that is reliable, evolvable, and cost‑controlled.
Responsibilities
You will own the
design of the AI intelligence layer
and this includes:
Designing a clear
intelligence architecture
that supports multiple AI‑driven features
Defining a robust
memory taxonomy
(short‑term, long‑term, client‑level, org‑level, and meta memory)
Designing
RAG‑based retrieval systems
that serve different product use cases
Defining
retrieval + reasoning flows
that adapt to intent, context, and confidence
Establishing
failure handling and guardrail strategies
for production AI systems
Designing
idempotent AI workflows
for actions, updates, and automation
Establishing
cost controls, usage boundaries, and observability
Designing
evaluation and feedback loops
so intelligence improves through use
Deliverables
Memory schemas and retrieval strategies
Interface contracts and reference patterns for implementation
A
Phase‑2 build plan
outlining how intelligence evolves post‑MVP
What You'll Not Do
Building UI or frontend features
Acting as a generalist full‑stack developer
Shipping one‑off demos or prototypes
Writing large amounts of production code
Optimizing prompts in isolation from system design
Desired Profile
Have designed
AI intelligence systems inside real products
Think in terms of
systems, state, and failure modes
Are fluent in
RAG, memory design, and retrieval strategies
Care deeply about
idempotency, reliability, and cost control
Can guide engineers through
clear abstractions and contracts
Fractional / Contract
10–20 hours per week
Opportunity for full‑time employment
How to Apply
Examples of
production AI systems
you’ve architected
How you think about
memory, retrieval, and reasoning
Any diagrams, writing, or artifacts that show your system‑level thinking
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Design Services
#J-18808-Ljbffr
Apply on source site We’re building an AI intelligence infrastructure embedded inside a B2B platform used by consumer brands to manage creative work, assets, and workflows.
This infrastructure is designed to support a wide range of intelligent and intuitive product features, including (but not limited to) conversational interfaces, image generation, contextual recommendations, automation, analysis, and decision support.
This is not a chatbot project.
This is not a ChatGPT wrapper.
Senior AI Systems Architect
We’re looking for a senior AI Systems Architect to design the foundational intelligence layer that powers these capabilities in a way that is reliable, evolvable, and cost‑controlled.
Responsibilities
You will own the
design of the AI intelligence layer
and this includes:
Designing a clear
intelligence architecture
that supports multiple AI‑driven features
Defining a robust
memory taxonomy
(short‑term, long‑term, client‑level, org‑level, and meta memory)
Designing
RAG‑based retrieval systems
that serve different product use cases
Defining
retrieval + reasoning flows
that adapt to intent, context, and confidence
Establishing
failure handling and guardrail strategies
for production AI systems
Designing
idempotent AI workflows
for actions, updates, and automation
Establishing
cost controls, usage boundaries, and observability
Designing
evaluation and feedback loops
so intelligence improves through use
Deliverables
Memory schemas and retrieval strategies
Interface contracts and reference patterns for implementation
A
Phase‑2 build plan
outlining how intelligence evolves post‑MVP
What You'll Not Do
Building UI or frontend features
Acting as a generalist full‑stack developer
Shipping one‑off demos or prototypes
Writing large amounts of production code
Optimizing prompts in isolation from system design
Desired Profile
Have designed
AI intelligence systems inside real products
Think in terms of
systems, state, and failure modes
Are fluent in
RAG, memory design, and retrieval strategies
Care deeply about
idempotency, reliability, and cost control
Can guide engineers through
clear abstractions and contracts
Fractional / Contract
10–20 hours per week
Opportunity for full‑time employment
How to Apply
Examples of
production AI systems
you’ve architected
How you think about
memory, retrieval, and reasoning
Any diagrams, writing, or artifacts that show your system‑level thinking
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Design Services
#J-18808-Ljbffr