Technical Architect / DevOps Lead
New York, NY
$210,000
Are you interested in owning the architecture of an AI-powered platform that will run an entire private equity firm?
Does building a custom ERP system with AI agents, real data, and real business impact sound like something you’d want your name on?
If so, check this out.
We’re hiring a Technical Lead / Technical Product Owner (AI Platform) to own the architecture, scalability, and technical execution of a next-generation internal platform called AI.Peak.
This is not a support role.
This is not a maintenance role.
This is platform ownership.
You will be the person who:
Owns architecture decisions
Enforces code quality and standards
Ensures multiple teams build cleanly into one system
Keeps the entire platform scalable, reliable, and fast
And yes—you’ll still be hands-on coding.
A highly operational private equity firm (~100 people) building its own internal operating system.
AI.Peak is:
A custom-built ERP platform
Connecting the full lifecycle:
Deal sourcing
Due diligence
Portfolio operations
Fund reporting
Powered by:
Shared APIs
Centralized data layer
AI/LLM intelligence layer
~10% is live today.
The next 2 years = full-scale buildout and expansion
4–8+ years in software engineering
Experience as a technical lead / architect / platform owner
Strong DevOps + CI/CD ownership
Deep experience with:
JavaScript / TypeScript (full stack)
API design + microservices
SQL / database design
Experience managing:
Multiple dev streams
External engineering teams
Strong systems thinking → you see problems before they happen
Azure-based infrastructure
GitHub + CI/CD pipelines
FastAPI backend
TypeScript stack
SQL databases
LLM stack (OpenAI, Claude, agents, RAG pipelines)
Azure expertise (big plus)
LLM / AI experience:
RAG pipelines
embeddings
prompt orchestration
Experience with:
LangChain / LangGraph / Claude APIs
Experience in platform or internal tooling builds
Own the end-to-end architecture across:
APIs
database
modules
Define:
coding standards
branching strategy
PR review process
Ensure platform integrity across parallel builds
Act as the central technical hub
Manage:
external dev team (current)
future internal contributors
Translate product → technical execution
Build:
smaller modules
AI-powered features
Work directly in code:
TypeScript
APIs
database layers
Own CI/CD pipelines
Manage environments + deployments
Build testing + reliability frameworks
Handle scaling + performance strategy
You’re building a company-wide operating system
Direct partnership with the Head of AI (your only internal counterpart initially)
Greenfield influence on:
architecture
tooling
engineering standards
You will replace an external dev team with internal ownership
AI is not a side project—it’s core to the platform
0–30 Days
Audit architecture + codebase
Define standards + CI/CD improvements
Start coordinating dev efforts
30–60 Days
Run parallel development streams cleanly
Ship first internal module
Start AI feature development
60–90 Days
Establish scalable dev rhythm
Ship additional modules + AI capabilities
Define 6-month technical roadmap
Base: $200K – $220K+
Bonus potential
Hybrid NYC (flexibility possible)
Direct exposure to firm leadership
Path to build and lead internal engineering team
DevOps / Platform Architect who:
Has seen systems break at scale
Knows how to prevent it
Someone who:
Doesn’t need structure
Creates it
Builder mindset:
Not “ticket taker”
Not “pure manager”
April 15, 2026