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Senior AI Engineer

IBM

Software and Technology Jobs

Senior AI Engineer

full-timePosted: Dec 11, 2025

Job Description

Senior AI Engineer

📋 Job Overview

The Senior AI Engineer at IBM will specialize in Large Language Models (LLMs) within the AI/ML Center of Excellence. The role involves leading data collection for LLM training, integrating LLMs into IBM's product portfolio, and establishing best practices for AI/ML feature implementation. Collaboration with cross-functional teams is key to driving AI innovation across IBM's Automation products.

📍 Location: Krakow, PL (Remote/Hybrid)

💼 Career Level: Professional

🎯 Key Responsibilities

  • Design and implement data collection pipelines for LLM training datasets
  • Develop data quality assessment frameworks
  • Create annotation guidelines and workflows for domain-specific datasets
  • Implement data governance protocols
  • Establish evaluation datasets and benchmarks for LLM performance
  • Architect solutions to integrate LLMs with IBM's products and ecosystem
  • Develop APIs and interfaces for LLM interaction
  • Optimize LLM deployment across various computing environments
  • Implement model compression and optimization techniques
  • Design prompt engineering frameworks for consistent LLM behavior
  • Establish technical standards and best practices for AI/ML feature implementation
  • Create reusable components and design patterns for LLM use cases
  • Develop monitoring systems for model performance, drift, and biases
  • Research and implement techniques for responsible AI
  • Collaborate with product teams to identify AI-driven innovation opportunities

✅ Required Qualifications

  • Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
  • Proven track record in data collection and management for LLM training and evaluation
  • Expertise in integrating LLM technologies into existing and new products
  • Knowledge of data governance and compliance with privacy regulations and ethical AI principles

⭐ Preferred Qualifications

  • Experience with IBM AI Model & Data Catalog
  • Familiarity with FM-Eval and Unitxt for LLM performance evaluation
  • Knowledge of model compression, quantization, and optimization techniques

🛠️ Required Skills

  • Large Language Models (LLMs)
  • Data collection and management
  • Data quality assessment
  • Annotation guidelines and workflows
  • Data governance
  • Privacy regulations
  • Ethical AI principles
  • IBM AI Model & Data Catalog
  • FM-Eval
  • Unitxt
  • API development
  • Interface design
  • Model compression
  • Quantization
  • Optimization
  • Prompt engineering
  • Technical standards
  • Best practices
  • Reusable components
  • Design patterns
  • Monitoring systems
  • Responsible AI
  • Explainability
  • Fairness
  • Collaboration
  • Innovation

🎁 Benefits & Perks

  • Opportunities for learning and career development
  • Encouragement to be courageous and experiment
  • Continuous trust and support in a thriving environment
  • Growth-minded culture with openness to feedback and learning
  • Commitment to diversity and inclusion
  • Equal-opportunity employment

Locations

  • Krakow, PL, India (Remote)

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Data collection and managementintermediate
  • Data quality assessmentintermediate
  • Annotation guidelines and workflowsintermediate
  • Data governanceintermediate
  • Privacy regulationsintermediate
  • Ethical AI principlesintermediate
  • IBM AI Model & Data Catalogintermediate
  • FM-Evalintermediate
  • Unitxtintermediate
  • API developmentintermediate
  • Interface designintermediate
  • Model compressionintermediate
  • Quantizationintermediate
  • Optimizationintermediate
  • Prompt engineeringintermediate
  • Technical standardsintermediate
  • Best practicesintermediate
  • Reusable componentsintermediate
  • Design patternsintermediate
  • Monitoring systemsintermediate
  • Responsible AIintermediate
  • Explainabilityintermediate
  • Fairnessintermediate
  • Collaborationintermediate
  • Innovationintermediate

Required Qualifications

  • Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
  • Proven track record in data collection and management for LLM training and evaluation (experience)
  • Expertise in integrating LLM technologies into existing and new products (experience)
  • Knowledge of data governance and compliance with privacy regulations and ethical AI principles (experience)

Preferred Qualifications

  • Experience with IBM AI Model & Data Catalog (experience)
  • Familiarity with FM-Eval and Unitxt for LLM performance evaluation (experience)
  • Knowledge of model compression, quantization, and optimization techniques (experience)

Responsibilities

  • Design and implement data collection pipelines for LLM training datasets
  • Develop data quality assessment frameworks
  • Create annotation guidelines and workflows for domain-specific datasets
  • Implement data governance protocols
  • Establish evaluation datasets and benchmarks for LLM performance
  • Architect solutions to integrate LLMs with IBM's products and ecosystem
  • Develop APIs and interfaces for LLM interaction
  • Optimize LLM deployment across various computing environments
  • Implement model compression and optimization techniques
  • Design prompt engineering frameworks for consistent LLM behavior
  • Establish technical standards and best practices for AI/ML feature implementation
  • Create reusable components and design patterns for LLM use cases
  • Develop monitoring systems for model performance, drift, and biases
  • Research and implement techniques for responsible AI
  • Collaborate with product teams to identify AI-driven innovation opportunities

Benefits

  • general: Opportunities for learning and career development
  • general: Encouragement to be courageous and experiment
  • general: Continuous trust and support in a thriving environment
  • general: Growth-minded culture with openness to feedback and learning
  • general: Commitment to diversity and inclusion
  • general: Equal-opportunity employment

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IBM logo

Senior AI Engineer

IBM

Software and Technology Jobs

Senior AI Engineer

full-timePosted: Dec 11, 2025

Job Description

Senior AI Engineer

📋 Job Overview

The Senior AI Engineer at IBM will specialize in Large Language Models (LLMs) within the AI/ML Center of Excellence. The role involves leading data collection for LLM training, integrating LLMs into IBM's product portfolio, and establishing best practices for AI/ML feature implementation. Collaboration with cross-functional teams is key to driving AI innovation across IBM's Automation products.

📍 Location: Krakow, PL (Remote/Hybrid)

💼 Career Level: Professional

🎯 Key Responsibilities

  • Design and implement data collection pipelines for LLM training datasets
  • Develop data quality assessment frameworks
  • Create annotation guidelines and workflows for domain-specific datasets
  • Implement data governance protocols
  • Establish evaluation datasets and benchmarks for LLM performance
  • Architect solutions to integrate LLMs with IBM's products and ecosystem
  • Develop APIs and interfaces for LLM interaction
  • Optimize LLM deployment across various computing environments
  • Implement model compression and optimization techniques
  • Design prompt engineering frameworks for consistent LLM behavior
  • Establish technical standards and best practices for AI/ML feature implementation
  • Create reusable components and design patterns for LLM use cases
  • Develop monitoring systems for model performance, drift, and biases
  • Research and implement techniques for responsible AI
  • Collaborate with product teams to identify AI-driven innovation opportunities

✅ Required Qualifications

  • Experience in AI/ML engineering, specializing in Large Language Models (LLMs)
  • Proven track record in data collection and management for LLM training and evaluation
  • Expertise in integrating LLM technologies into existing and new products
  • Knowledge of data governance and compliance with privacy regulations and ethical AI principles

⭐ Preferred Qualifications

  • Experience with IBM AI Model & Data Catalog
  • Familiarity with FM-Eval and Unitxt for LLM performance evaluation
  • Knowledge of model compression, quantization, and optimization techniques

🛠️ Required Skills

  • Large Language Models (LLMs)
  • Data collection and management
  • Data quality assessment
  • Annotation guidelines and workflows
  • Data governance
  • Privacy regulations
  • Ethical AI principles
  • IBM AI Model & Data Catalog
  • FM-Eval
  • Unitxt
  • API development
  • Interface design
  • Model compression
  • Quantization
  • Optimization
  • Prompt engineering
  • Technical standards
  • Best practices
  • Reusable components
  • Design patterns
  • Monitoring systems
  • Responsible AI
  • Explainability
  • Fairness
  • Collaboration
  • Innovation

🎁 Benefits & Perks

  • Opportunities for learning and career development
  • Encouragement to be courageous and experiment
  • Continuous trust and support in a thriving environment
  • Growth-minded culture with openness to feedback and learning
  • Commitment to diversity and inclusion
  • Equal-opportunity employment

Locations

  • Krakow, PL, India (Remote)

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Data collection and managementintermediate
  • Data quality assessmentintermediate
  • Annotation guidelines and workflowsintermediate
  • Data governanceintermediate
  • Privacy regulationsintermediate
  • Ethical AI principlesintermediate
  • IBM AI Model & Data Catalogintermediate
  • FM-Evalintermediate
  • Unitxtintermediate
  • API developmentintermediate
  • Interface designintermediate
  • Model compressionintermediate
  • Quantizationintermediate
  • Optimizationintermediate
  • Prompt engineeringintermediate
  • Technical standardsintermediate
  • Best practicesintermediate
  • Reusable componentsintermediate
  • Design patternsintermediate
  • Monitoring systemsintermediate
  • Responsible AIintermediate
  • Explainabilityintermediate
  • Fairnessintermediate
  • Collaborationintermediate
  • Innovationintermediate

Required Qualifications

  • Experience in AI/ML engineering, specializing in Large Language Models (LLMs) (experience)
  • Proven track record in data collection and management for LLM training and evaluation (experience)
  • Expertise in integrating LLM technologies into existing and new products (experience)
  • Knowledge of data governance and compliance with privacy regulations and ethical AI principles (experience)

Preferred Qualifications

  • Experience with IBM AI Model & Data Catalog (experience)
  • Familiarity with FM-Eval and Unitxt for LLM performance evaluation (experience)
  • Knowledge of model compression, quantization, and optimization techniques (experience)

Responsibilities

  • Design and implement data collection pipelines for LLM training datasets
  • Develop data quality assessment frameworks
  • Create annotation guidelines and workflows for domain-specific datasets
  • Implement data governance protocols
  • Establish evaluation datasets and benchmarks for LLM performance
  • Architect solutions to integrate LLMs with IBM's products and ecosystem
  • Develop APIs and interfaces for LLM interaction
  • Optimize LLM deployment across various computing environments
  • Implement model compression and optimization techniques
  • Design prompt engineering frameworks for consistent LLM behavior
  • Establish technical standards and best practices for AI/ML feature implementation
  • Create reusable components and design patterns for LLM use cases
  • Develop monitoring systems for model performance, drift, and biases
  • Research and implement techniques for responsible AI
  • Collaborate with product teams to identify AI-driven innovation opportunities

Benefits

  • general: Opportunities for learning and career development
  • general: Encouragement to be courageous and experiment
  • general: Continuous trust and support in a thriving environment
  • general: Growth-minded culture with openness to feedback and learning
  • general: Commitment to diversity and inclusion
  • general: Equal-opportunity employment

Target Your Resume for "Senior AI Engineer" , IBM

Get personalized recommendations to optimize your resume specifically for Senior AI Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior AI Engineer" , IBM

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringSoftware Engineering

Answer 10 quick questions to check your fit for Senior AI Engineer @ IBM.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.