Lead AI Systems Architect (Data-Centric AI & Multimodal)

Jobgether SRL; Ireland; Remote; EUR 11,000 - 14,000; Full time

Job summary

Jobgether SRL seeks a Lead AI Systems Architect (Data-Centric AI & Multimodal) to design and scale AI systems that transform unstructured social media content into structured data products. You will lead multimodal pipelines combining vision, speech, and LLMs, building reliable data extraction workflows and scalable inference infrastructure.

The role includes advising junior developers, establishing standards, and driving cost-aware architectures while collaborating with data engineers and

Qualifications

• 5+ years in applied AI, NLP, or computer vision.
• Experience designing multimodal pipelines that integrate vision, speech, and text models.
• Proficient in Python and DL frameworks such as PyTorch or TensorFlow.
• Experience with production LLM orchestration and structured output tools (DSPy, Instructor, Pydantic, LangChain, or LlamaIndex).
• Hands-on fine-tuning and serving open-source models using vLLM, TGI, or similar engines.
• Experience with vector databases (Qdrant, pgvector, Pinecone) and retrieval-augmented generation at scale.
• Ability to establish best practices and mentor junior developers.

Responsibilities

• Design and build multimodal pipelines for data extraction and structuring.
• Develop automated ingestion and labeling workflows coupled with validation.
• Optimize model performance and manage costs with open-source inference engines.
• Lead architectural decisions and set engineering standards.
• Guide junior engineers and promote engineering best practices.

Skills

Multimodal pipelines

Python

PyTorch

LangChain

LLM orchestration

Open-source models

Tools

DSPy

Instructor

Pydantic

vLLM

TGI

Groq

Qdrant

pgvector

Pinecone

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Systems Architect (Data-Centric AI & Multimodal) based in Ireland.

This is an opportunity for an experienced AI engineer to design and scale advanced AI systems that transform unstructured social media content into high-quality, structured data products. You will lead the development of multimodal pipelines combining computer vision, speech recognition, and large language models. The role focuses on building reliable data extraction workflows, optimizing model performance, and improving the quality of large-scale datasets. You will also drive the adoption of open-source models and efficient inference infrastructure to improve scalability and control costs. Working at the intersection of applied AI, data engineering, and social media intelligence, you will help shape the technical architecture of an evolving AI and Data Lab. You will also provide technical guidance to junior developers and establish engineering practices that support sustainable growth.

Accountabilities

• Multimodal AI Pipeline Development: Design and build automated ingestion pipelines combining computer vision for scene classification and aesthetic scoring, speech-to-text technologies such as Whisper, and large language models.
• Structured Data Extraction: Develop programmatic extraction frameworks using tools such as Instructor, Pydantic, DSPy, and Outlines to ensure generative models produce consistent, validated JSON outputs.
• Model Optimization and Cost Management: Transition workloads from commercial AI APIs to fine-tuned open-source models, including Llama, Qwen, and DeepSeek, deployed through local or high-throughput inference engines such as vLLM, TGI, and Groq.
• Data Labeling and Quality Assurance: Implement data-centric AI techniques and frameworks, including Cleanlab, Snorkel, and active learning, to automate large-scale labeling processes and improve the quality of noisy datasets.
• AI Architecture and Technical Leadership: Define architectural roadmaps, establish engineering standards, and guide junior developers in building robust, maintainable AI systems.
• Scalable Data Infrastructure: Support the development of AI-driven enrichment workflows and retrieval systems capable of processing large volumes of unstructured content efficiently.

Requirements

The ideal candidate brings strong applied AI expertise, hands‑on experience with multimodal systems, and the ability to translate advanced machine learning techniques into reliable production solutions.

• At least 5 years of experience in applied AI, natural language processing, or computer vision.
• Proven experience designing and implementing multimodal pipelines that integrate vision, speech, and text models.
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong experience with production LLM orchestration and structured output tools, including DSPy, Instructor, Pydantic, LangChain, or LlamaIndex.
• Hands‑on experience fine‑tuning and serving open‑source models using vLLM, TGI, or comparable high‑throughput inference engines.
• Experience with vector databases such as Qdrant, pgvector, or Pinecone, and with retrieval‑augmented generation (RAG) architectures at scale.
• Ability to establish technical best practices, make architectural decisions, and mentor junior developers.

Preferred Qualifications

• Experience building social media data pipelines involving platforms such as TikTok, Instagram Reels, or YouTube Shorts.
• Background in data‑centric AI, active learning, or synthetic data generation.

Benefits

• Fully remote working arrangement.
• Annual salary of $12,000–$16,000.
• Opportunity to work on advanced multimodal AI systems, open‑source model deployment, and large‑scale data intelligence.
• Technical leadership opportunities, including architectural planning and mentoring junior developers.

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.