AI Architect at Aleph

Ljubljana, Ljubljana, Slovenia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Advertising, TechnologyIndustries

Requirements

Expert-level command of AI/ML Design and Architecture: Deep knowledge of AI architecture, machine learning models, data science, and the ability to translate complex business requirements into tangible technical AI solutions
Full-Stack Model Proficiency: Ability to independently develop, train, and tune a variety of AI models. Proficient in implementing various neural network architectures (e.g., CNNs, RNNs, Transformers)
MLOps Mastery: Deep understanding of model optimization, deployment, and MLOps principles. Proven experience designing and maintaining AI models in production environments
Cloud & Engineering: Experienced with major cloud computing platforms (e.g., AWS, GCP, Azure). Strong software engineering principles and code versioning skills (e.g., Git)
Data & Ethics: Experience with data analysis and A/B testing for AI models. Familiarity with ethical AI guidelines and responsible AI practices
Soft Skills: Strategic thinking, leadership and mentoring, exceptional communication and presentation skills, ability to influence and persuade

Responsibilities

Lead Complex Projects: Take full ownership of the AI solution for large-scale, ambiguous, and strategically important projects from discovery to launch
Own End-to-end AI Development: Own the entire lifecycle for AI models, including independent development, training, tuning, and ongoing performance monitoring for specific product features
Define Strategy: Influence the product roadmap and AI strategy by defining architecture, data flows, and interaction paradigms for AI systems
Create High-Fidelity Mockups: Design and deliver system design and solution mockups and prototypes that clearly communicate the intended user experience for AI applications
Facilitate & Mentor: Mentor junior AI developers on complex technical challenges, model optimization, and best-in-class software engineering practices
Advocate for Users: Collaborate closely with software and data engineers to seamlessly integrate deployed AI models into production applications and monitor their performance
Stakeholder Management: Confidently present and defend architectural and design decisions for AI systems to stakeholders and senior leadership

Skills

Key technologies and capabilities for this role

AI ArchitectureMachine LearningModel TrainingMLOpsModel DeploymentData PipelinesLLMStrategic PlanningTechnical MentorshipProduct Roadmap

Questions & Answers

Common questions about this position

What is the employment type for this AI Architect position?

This is a full-time permanent position.

Is this AI Architect role remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for the AI Architect role?

The role requires expert-level command of AI/ML design and architecture, deep knowledge of machine learning models and data science, and full-stack model proficiency to independently develop, train, and tune models.

What is the company culture like at Aleph?

Aleph offers a fast-growing, innovative team in a dynamic, global environment where your work makes a direct impact, ideal for ambitious, forward-thinking individuals.

What makes a strong candidate for the Lead AI Architect position?

A strong candidate has a rare blend of strategic systems thinking, hands-on model development expertise, deep technical mentorship skills, and the ability to own end-to-end AI development for complex projects.

Aleph

Enhances spreadsheets for financial planning teams

About Aleph

Aleph enhances the financial planning and analysis (FP&A) process by improving the functionality of spreadsheets, which are widely used by finance teams. Instead of replacing Excel with new web-based tools, Aleph integrates advanced features into the familiar spreadsheet environment. This allows finance professionals to continue using a tool they are comfortable with while gaining access to real-time data integration, automated reporting, and collaborative capabilities. Unlike traditional FP&A solutions that require users to learn new systems, Aleph's approach minimizes the learning curve and maximizes productivity. The company operates on a subscription-based model, providing continuous updates and improvements to its software, which helps finance teams streamline their budgeting and forecasting tasks. Aleph's goal is to empower finance teams to work more efficiently and effectively by supercharging the spreadsheets they already rely on.

New York City, New YorkHeadquarters

2020Year Founded

$16.4MTotal Funding

SERIES_ACompany Stage

Fintech, Financial ServicesIndustries

11-50Employees

Benefits

Remote Work Options

Risks

Competition from established FP&A providers like Anaplan and Adaptive Insights is increasing.

Scaling operations in new markets like Nigeria may require additional resources.

Spreadsheet reliance may face criticism from companies seeking innovative FP&A tools.

Differentiation

Aleph enhances spreadsheet capabilities, unlike traditional FP&A tools replacing Excel.

Aleph offers real-time data integration with 150+ integrations, streamlining financial processes.

Aleph's no-code dashboards allow finance teams to interact with data easily.

Upsides

Growing demand for real-time data integration boosts Aleph's market potential.

No-code platforms trend supports Aleph's user-friendly approach for finance teams.

Aleph's expansion into Nigeria taps into emerging market fintech opportunities.

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