Lead AI Engineer, Generative AI & Digital Pathology

Job Description:

We are seeking a Lead AI Engineer to drive the strategic development of AI/ML solutions across biological and digital pathology datasets. In this role, you will enhance the generative AI roadmap, oversee model architecture decisions, and lead a team in building state-of-the-art single-modality (VAE, DINOv2, diffusion models) and multimodal generative systems. You will collaborate cross-functionally with scientific, engineering, and product teams to translate research problems into scalable AI-driven solutions.

Job responsibilities:

• Lead end-to-end development of generative AI systems integrating biological, imaging, and sequencing data.
• Design foundational model architectures and ensure scientific and computational rigor.
• Provide technical leadership, mentorship, and performance guidance to a team of ML engineers and researchers.
• Partner with domain scientists to define target outcomes, requirements, and data strategies.
• Drive innovation by evaluating new methodologies, proposing research directions, and leading PoCs.
• Oversee compliance with GCP/GCLP and ensure data quality, reproducibility, and audit readiness.
• Guide integration of LLM-based automation and/or multimodal diffusion architectures into production workflows.
• Represent the team in cross-functional discussions.

Required qualifications:

• Master’s or PhD strongly preferred in ML, Bioinformatics, Computational Biology, Biomedical Engineering, or similar.
• 5+ years of experience in ML/CV.
• Proven track record of designing complex generative or multimodal AI systems.
• Good communication and cross-functional collaboration skills.
• Strong ability to translate scientific needs into AI/ML architectures and pipelines.
• Experience leading teams, establishing processes, and driving ML strategy will be a plus.
• English and Russian languages proficiency.

Technical skills

• Expert-level Python and PyTorch skills.
• Deep specialization in generative modeling (diffusion models, VAEs, multimodal architectures).
• Experience with large-scale biological data processing (RNAseq, xCR, digital pathology).
• Strong grasp of MLOps, experiment tracking, and scalable model deployment.

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• Advanced statistical analysis and experimental design.
• Experience integrating LLM-based automation and designing complex multimodal systems as a plus.
• Ability to evaluate tradeoffs and make strategic technical decisions.

Please note that the role supposes relocation to Armenia (relocation support provided).

What we offer:

• Comfortable office in the center of Yerevan, next to "Druzhba" metro station.
• Health insurance (comprehensive coverage including medical, dental, and vision plans).
• Flexible / hybrid work options (hybrid format, flexible hours).
• Professional development (support for trainings, workshops, conferences, and further education).
• Business trips (opportunities to build partnerships, attend conferences, and support the company's global presence).
• Staff referral program (bonuses for referring suitable candidates).
• Meals (free or subsidized meals, snacks, and beverages at the workplace).