SCOR

AI Operation Lead

SCOR  •  Ilfov, RO (Onsite)  •  1 hour ago
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Job Description

The AI Operations Lead contributes hands-on to integration, deployment and monitoring of AI systems such as ML, GenAI, RAG and agentic workflows. The role focuses on a subset of products/services and ensures operational excellence, observability, and performance.

Key duties and responsibilities

  • Implement and operate integration of AI capabilities into enterprise products following standard patterns

  • Contribute to deployment of:

    • RAG pipelines

    • Copilots and AI assistants

    • Agentic workflows

    • Predictive ML services

  • Support delivery squads in integrating AI services into business applications

  • roubleshoot and resolve integration or runtime issues in production

AI Observability & Monitoring (Core focus)

  • Design and implement AI observability frameworks, including:
    • Model performance monitoring (drift, quality, hallucination signals)
    • Usage and adoption metrics
    • Latency, reliability, and system health
  • Ensure proper logging, tracing, and monitoring of AI pipelines
  • Contribute to definition of AI SLAs/SLOs aligned with business expectations
  • Support incident management and post-mortem analysis for AI systems

Cost & Performance Optimization

  • Monitor AI-related cloud consumption and inference costs
  • Optimize pipelines for efficiency (model selection, caching, orchestration)
  • Contribute to FinOps practices specific to AI workloads

Business Acumen

  • Understands operational impact of AI systems on business processes

  • Able to balance performance, cost, and quality trade-offs

  • Communicates effectively with technical and business stakeholders

Required experience & competencies

  • 5–8 years in software/ML engineering

  • Cloud (Azure), Kubernetes, Python

  • Experience with GenAI and ML systems

Technical Skills

  • Strong hands-on experience in:

    • Python, APIs, microservices architecture

    • Cloud environments (Azure preferred, AWS/GCP acceptable)

    • Kubernetes and containerized deployments

  • Experience with:

    • MLOps / LLMOps tooling

    • Monitoring/observability tools (e.g., logs, metrics, tracing)

    • Data pipelines and distributed systems

  • Understanding of:

    • GenAI / LLM systems (RAG, embeddings, prompting)

    • ML lifecycle and deployment patterns

Soft skills

  • Hands-on and problem-solving mindset
  • Ability to debug complex AI systems in production
  • Strong collaboration with engineering and product teams
  • Ability to explain technical issues clearly to non-experts
  • Proactive and continuous improvement mindset

Business acumen

  • Can adapt his/her speech to make relevant for business users
  • Can interact effectively with top management
  • Can support in produce presentations or architecture material

    Required Education

  • Master’s degree (Ph. D. is a plus) in Science, Technology, Engineering, Computer Science,
  • Bachelor’s degree plus ASA or similar work experience is accepted in place of a relevant Master’s degree

  • Certifications on Cloud or Microservices or Kubernetes (CKAD) are plus.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

SCOR

About SCOR

SCOR, one of the world's largest reinsurers, provides its clients with a diversified and innovative range of solutions to control and manage risk. Using its experience and expertise, “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – in Life & Health as well as in P&C.

The reinsurance industry is about combining technical expertise and experience with the developments of science. However many tools we use to conduct our activities (models, databases, pricing tools, reserving tools, and so on), we also need expert judgments and human experience to correctly underwrite. This is what we call the art of underwriting. Reinsurance is a knowledge industry. Expertise is an accumulation variable.

The most advanced tool will never replace the intuition of a seasoned underwriter facing a complex risk. Because at the end of the day, you have to make a decision, to sign, to underwrite. And what we have underwritten, we cannot overwrite - our word is our bond, as is our signature. This dimension of our business, linked to the art of underwriting, is more important than some observers would have people believe.

One way to acquire this art is to share experiences – both good and bad – and to share doubts and questions. Artists always belong to a school, from which they learn their craft.

Like artists, we have to learn, imitate, mimic, and then innovate, in order to find our own style and create our own distinctive work.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
Paris, FR
Year Founded
Unknown
Website
scor.com
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