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# GenAI Platform Data Engr

- **Company:** Cognizant
- **Location:** Alcalá de Henares, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Data Security, Python (Programming Language), OpenAI, Software Engineering, Management of Software Versions, Working Model 2D, Pinecone, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Hallucination Detection, Llamaindex, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Information Technology, Weaviate, Machine Learning Operations, FAISS, GPT, OpenSearch
- **Published:** October 10, 2026
- **Apply:** https://www.adzuna.es/details/5918535689

## About the Role

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. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national

## Description

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. *