Staff Data & AI Architect at Immunai

Ramat Gan, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

15 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, AI Architecture, ML Experimentation, MLOps, Data Management, Cloud-Native Systems, Kubernetes, Data Lake, Lakehouse, BigQuery, Databricks, ML Lifecycle Systems, Experiment Tracking, Data Governance, Security, Compliance

Industry

Biotechnology Research

Description

About Immunai: Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: The Staff Data & AI Architect will define and own the end-to-end architecture of Immunai’s data and AI platform, spanning large-scale data systems, ML experimentation infrastructure, and production-grade model deployment. This role sets the architectural vision and technical standards for data and AI infrastructure across the company, ensuring scalable, compliant, research-accelerating systems that power both research and product development in a regulated biomedical environment. Location: Ramat Gan, Israel (hybrid model) What will you do? Architect and evolve a scalable, resilient, and secure data and AI infrastructure supporting Immunai’s research and product platforms. Identify recurring infrastructure and workflow challenges to drive the creation of generalized, reusable platform solutions. Define scalable experimentation and MLOps patterns supporting experiment tracking, compute orchestration, dataset versioning, and reproducibility guarantees. Lead the design and implementation of enterprise-grade data management. Establish and enforce data principles (e.g., FAIR, Medallion/Lakehouse architectures) to ensure data quality, lineage, discoverability, and reuse, while guaranteeing that all infrastructure meets security, privacy, and regulatory requirements. Serve as the senior technical authority for data and AI infrastructure, partnering with Research, Engineering, and Product leadership to align architectural decisions with scientific and business priorities. Lead technology evaluation and adoption decisions for AI infrastructure, balancing scalability, cost efficiency, compliance, and long-term maintainability. Requirements Required qualifications: 8+ years of experience building and operating large-scale data and AI systems, with 5+ years in architecture or platform leadership roles driving technical direction across multiple teams. Demonstrated experience defining and executing architectural vision in complex, multi-team environments, including setting standards, leading design reviews, and influencing long-term roadmaps. Deep expertise in cloud-native distributed systems (GCP, AWS, or Azure), including Kubernetes-based infrastructure (e.g., GKE), scalable storage and compute, reliability, and security at scale. Strong command of modern data architectures (data lake, lakehouse, warehouse) and large-scale analytics platforms (e.g., BigQuery, Databricks), including data lifecycle, metadata, and governance strategy. Proven experience designing internal data and ML platforms that enable reproducible experimentation, self-serve workflows, and efficient research-to-production transitions. Experience architecting end-to-end ML lifecycle systems, including training infrastructure, experiment tracking, versioning, CI/CD for ML, deployment patterns (batch/online), and monitoring across MLOps platforms (e.g., ClearML, RunAI, or equivalents). Strong understanding of security, privacy, and compliance requirements in regulated environments, including fine-grained access control, auditing, and data protection best practices. Desired personal traits: You want to make an impact on humankind You prioritize “We” over “I” You enjoy getting things done and striving for excellence You collaborate effectively with people of diverse backgrounds and cultures You have a growth mindset You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Responsibilities

The Staff Data & AI Architect will define and own the end-to-end architecture for Immunai’s data and AI platform, covering large-scale data systems, ML experimentation infrastructure, and production model deployment. This role involves setting architectural vision and technical standards to ensure scalable, compliant, and research-accelerating systems.