GenAI Platform Data Engr
# GenAI Platform Data Engr **Cognizant** · Madrid, Madrid provincia · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role As a Senior / Lead GenAI Engineer, you will design, build and scale production-grade Generative AI solutions for a leading company in the banking sector, taking technical ownership from architecture through deployment, in a fully remote role. Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply. ABOUT THE ROLE We are looking for a Senior / Lead GenAI Engineer with deep, hands-on expertise in Python and Large Language Models to design, build and scale Generative AI solutions for a leading banking sector client. In this role, you will take technical ownership of GenAI initiatives end-to-end — from architecture and prototyping through to secure, compliant production deployment — while mentoring engineers and partnering with business, risk and compliance stakeholders to ensure solutions meet the standards of a highly regulated environment. KEY RESPONSIBILITIES GenAI Solution Design & Delivery - Design, build and deploy production-grade Generative AI solutions (RAG pipelines, conversational assistants, multi-agent systems) using Python and modern LLM frameworks. - Lead prompt engineering, chain-of-thought orchestration, structured output parsing, guardrails and evaluation pipelines for LLM-based applications. - Architect and own RAG pipelines end-to-end: document ingestion, chunking, embeddings, vector store management and retrieval optimization. Platform & MLOps - Deploy and operate GenAI applications on cloud infrastructure (AWS, Azure or GCP), with a focus on scalability, security and cost optimization. - Implement evaluation and monitoring frameworks for AI systems: response quality, latency, hallucination detection and feedback loops. - Define MLOps practices for LLM-based systems: versioning, automated evaluation and production monitoring. Leadership & Stakeholder Management - Act as technical lead for GenAI initiatives, mentoring engineers and setting technical direction. - Translate business requirements from banking stakeholders (risk, compliance, customer experience) into robust technical solutions. - Partner with architecture, security and compliance teams to ensure GenAI solutions meet the regulatory standards of the banking sector. REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in software engineering, with significant hands-on experience building Generative AI / LLM-based solutions in production. - Expert-level Python skills, including experience with modern GenAI frameworks (LangChain, LlamaIndex or equivalent). - Deep understanding of LLM concepts: RAG architectures, embeddings, prompt engineering, fine-tuning and evaluation methodologies. - Hands-on experience integrating LLM providers (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI) into production systems. - Experience with vector databases (Pinecone, OpenSearch, FAISS, Weaviate) and embedding optimization. - Solid cloud experience (AWS, Azure or GCP) for deploying and scaling AI workloads. - Strong understanding of data security, privacy and regulatory considerations relevant to the banking / financial sector. - Proven ability to lead technical initiatives and mentor engineering teams. - Fluent English. NICE TO HAVE - Experience designing multi-agent or agentic AI workflows. - Familiarity with AI observability tools (Langfuse, Weights & Biases, Helicone). - Prior experience in banking, financial services or other highly regulated industries. - Experience with MLOps practices and model governance frameworks. EDUCATION - Degree in Computer Science, Software Engineering, AI/ML or a related field. PREFERRED CERTIFICATIONS - AWS, Azure or GCP ML/AI certifications, a plus. WORKING MODEL Fully remote position.
Наблюдалась 2026-10-07, впервые 2026-10-06, источник — Indeed.