You'll design the architecture that lets AI run compliance at scale.
Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk.
AI isn't a feature bolted onto our product. It's the product. Every flow, every agent, every retrieval pipeline that touches a customer's compliance program runs through architecture someone has to own — and right now, that ownership is spread across teams making local decisions with no shared reference point.
We're bringing that under one roof. This role sets the architecture that every AI initiative at Sedric builds on, and sits close enough to the roadmap to shape what we build next.
The mission?
We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product — they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business.
This role reports to the AI Team Lead and is based in Tel Aviv (hybrid model.
What You’ll Do
You'll own Sedric's AI reference architecture end to end — the patterns, standards, and platform capabilities that every AI initiative across engineering builds on. You'll lead architecture reviews, set the technology roadmap, and make the call on what we adopt, pilot, or retire.
Be part of Sedric's AI architecture design and ensure every AI initiative aligns with it
Define reusable patterns for AI services, agents, retrieval systems, evaluation pipelines, and infrastructure
Evaluate emerging technologies, vendors, and foundation models, and maintain a forward-looking roadmap
Partner with Product leadership during early discovery on AI-intensive initiatives
Requirements
You have 5+ years of ML/AI architecture experience in a SaaS company
You bring both the technical depth and the leadership range this role demands.
You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook
You've set up AI governance and evaluation harnesses from scratch
You have proven, hands-on experience with AI in production systems
You can take a project from concept to shipped and interface with stakeholders the whole way
You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus
You're comfortable in front of customers and executives, translating technical tradeoffs into business terms
You're probably not a fit if…
You want to execute against someone else's architecture, not design your own
You'd rather avoid customer or stakeholder conversations than lead them
You think about the technology and skip the business context it lives in
You need long runway before shipping — this role moves fast and mixes design with execution
You want a playbook handed to you rather than writing the first one
What Success Looks Like
Your first 90 days goals:
Day 30 — You understand the AI architecture of the platform end to end — the systems, the constraints, the decisions already made.
Day 60 — You've shipped LLM-driven improvements and optimized existing flows for latency and reliability.
Day 90 — You own AI design across the platform — teams come to you before they build, not after.
Compensation & Benefits
Competitive salary + meaningful equity. We’ll be transparent on numbers in the first conversation.
Meaningful equity in a high-growth compliance AI company
Direct access to leadership — no bureaucracy between you and impact
Flexible, output-first culture — we care what you ship, not when you log on
Work on problems that matter in an industry that’s ready to change
How to apply
Send your CV to sedric.AIarchitect@comeetapply.com.
Important Notice: Our interviews may be recorded and may utilize AI-assisted tools for evaluation purposes. By participating in the interview process, candidates consent to these practices.
