Ai Architect (Cloud & Generative Ai)

Abbott
Barcelona, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Barcelona, Spain

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Information Leak Prevention
DevOps
Github
Identity and Access Management
Python
Service Design
Systems Integration
Management of Software Versions
Cloud Platform System
Data Ingestion
Flask
Large Language Models
Generative AI
FastAPI
Maintaining Code
Bitbucket
Machine Learning Operations

Job description

Experteer Overview As an AI Architect on Abbott's Diabetes Care platform, you design and deliver cloud-based GenAI solutions that scale from PoC to production.You blend cloud architecture with practical GenAI engineering to build secure, reliable, and cost-efficient systems.You'll shape the GenAI tech stack, ensure safe operation, and drive measurable business outcomes.You work across teams to translate requirements into safe-by-design implementations, delivering high-impact AI features.This is an AI-first role focused on practical delivery at scale.Compensaciones / Beneficios- Own end-to-end GenAI solution architecture including data ingestion, retrieval, context assembly, model/agent logic, evaluation, deployment, and monitoring- Design, build, and optimize RAG systems with grounding and citation patterns- Lead context engineering: prompts, memory/state patterns, tool calls, defenses against prompt injection and data leakage- Build scalable services/APIs (FastAPI/Flask) and connect GenAI to tools and enterprise systems- Define cloud platform patterns for GenAI workloads with DevOps and IaC practices- Add observability for GenAI services: tracing, logs, metrics, dashboards, alerting- Implement evaluation-driven development with golden datasets and automated checks- Establish LLMOps/GenAIOps: versioning, CI/CD, monitoring, incident response- Partner with security, legal, compliance, quality, and product stakeholders; mentor engineers and set standardsResponsabilidades- Strong cloud architecture experience (AWS/Azure/GCP) including security, networking, IAM, and scalable service design- Hands-on GenAI/LLM experience beyond notebooks (OpenAI/Azure OpenAI, AWS Bedrock, or similar)- Proven experience implementing RAG systems, vector stores, and context engineering for reliable grounding- Strong Python engineering and ability to ship prototypes quickly- Experience building production APIs/services and integrating with enterprise systems- DevOps/CI-CD experience (GitHub Actions and/or Bitbucket pipelines) with automated testing and quality gates- Experience using coding models to accelerate delivery while maintaining code quality, security, and traceability- Strong understanding of GenAI reliability and safety (hallucination mitigation, prompt injection awareness)- Excellent communication and documentation skills for technical and non-technical audiencesRequisitos principales-

Requirements

Proven experience implementing RAG systems, vector stores, and context engineering for reliable grounding

  • Strong Python engineering and ability to ship prototypes quickly
  • Experience building production APIs/services and integrating with enterprise systems
  • DevOps/CI-CD experience (GitHub Actions and/or Bitbucket pipelines) with automated testing and quality gates
  • Experience using coding models to accelerate delivery while maintaining code quality, security, and traceability
  • Strong understanding of GenAI reliability and safety (hallucination mitigation, prompt injection awareness)
  • Excellent communication and documentation skills for technical and non-technical audiencesRequisitos principales

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