Senior AI Engineer - Applied AI & Data Validation

SAP
Sofia
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: high_schoolSkills: ["Collaboration","Communication","Problem structuring","Technical decision-making"]

Build and operationalize production-ready AI and agent-based solutions that address real business needs. Translate business requirements into technical designs, data requirements, evaluation approaches, and delivery plans. Act as an ad-hoc data scientist to assess data relevance and quality, then clean, validate, and profile enterprise data. Partner with stakeholders across the delivery lifecycle to define success metrics, implement pipelines and workflows, and ensure testing, monitoring, and post-launch improvement.

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FursaFursa
SAP
SAP
2 hours ago

Senior AI Engineer - Applied AI & Data Validation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and operationalize production-ready AI and agent-based solutions that address real business needs. Translate business requirements into technical designs, data requirements, evaluation approaches, and delivery plans. Act as an ad-hoc data scientist to assess data relevance and quality, then clean, validate, and profile enterprise data. Partner with stakeholders across the delivery lifecycle to define success metrics, implement pipelines and workflows, and ensure testing, monitoring, and post-launch improvement.
Location: Sofia
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operationalize AI and agent-based solutions for production environments.
  • •Translate business needs into technical designs, data requirements, evaluation approaches, and delivery plans.
  • •Assess data sources for relevance, completeness, trustworthiness, and fit for intended use cases.
  • •Explore, clean, profile, and validate data from enterprise systems to improve model quality and reduce delivery risk.
  • •Implement prototypes, pipelines, model workflows, orchestration logic, and integration components, including testing/evaluation and production readiness documentation.
Travel: Low travel

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related fields.
  • •Strong hands-on experience in AI engineering, machine learning, data science, software engineering, or similar roles.
  • •Proven ability to take AI/ML solutions from idea to implementation, including data validation, prototyping, testing, deployment, and operational support.
  • •Strong programming skills in Python and solid SQL experience.
  • •Experience with enterprise data profiling, quality assessment, transformation, and validation.
Experience:Enterprise dataMachine learning
Education:High School in Computer Science, Data Science, Engineering, Mathematics, Statistics
Skills:CollaborationCommunicationProblem structuringTechnical decision-making
Tech Stack:PythonSQL

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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