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GE Aerospace

Builds jet engines for airlines and armed forces

AI Strategy Manager

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of IT experience, including practical experience designing or implementing AI, machine learning, or Generative AI solutions.
  • Very good knowledge of architecture for solutions based on large language models, including retrieval-augmented generation, embeddings, vector databases, AI agents, and API integrations.
  • Practical knowledge of AI tools and platforms.
  • Experience designing and implementing solutions in on-premise, containerized, or hybrid environments.
  • Knowledge of data security, access control, system integration, and application architecture.
  • Ability to translate business needs into technology solutions and coordinate their delivery.
  • Experience leading proofs of concept and technology projects from concept through implementation.
  • Very good spoken and written Polish and English.

Responsibilities

  • Contribute to developing and executing the bank's AI strategy with consulting partners, business teams, and IT.
  • Translate the AI strategy into concrete initiatives, technology solutions, and an implementation plan.
  • Identify opportunities to use AI to automate and optimize banking processes.
  • Monitor AI technology developments and recommend solutions that meet the bank's needs.
  • Design and develop the architecture of AI solutions.
  • Coordinate the development and evolution of the internal AI Sandbox platform for safe experimentation with language models.
  • Evaluate, select, and integrate large language models and tools for chatbots, AI assistants, retrieval-augmented generation solutions, and process automation.
  • Design AI integrations with the bank's existing systems and data sources.
  • Evaluate the performance, security, scalability, and costs of proposed solutions.
  • Help business units identify and define AI use cases.
  • Assess the technical feasibility, potential value, and risks of AI initiatives.
  • Coordinate proofs of concept, pilots, and production deployments.
  • Work with business owners to define success criteria and measure implementation outcomes.
  • Build standards and good practices that enable effective use of AI by bank employees.
  • Work with Compliance, Risk, IT Security, and the Data Protection Officer to create and implement AI governance principles.
  • Ensure designed solutions account for the AI Act, DORA, GDPR, banking regulations, and internal policies.
  • Support risk classification of AI use cases and definition of security and control requirements.
  • Participate in developing standards for AI model management, testing, monitoring, and lifecycle management.
  • Support safe progression from experiments and proofs of concept to production solutions.
  • Work with corporate teams responsible for AI, architecture, and security.
  • Identify opportunities to use platforms, models, tools, capabilities, and good practices available across the corporation.
  • Assess whether corporate solutions can be applied in the bank while accounting for local regulatory requirements.
  • Work with technology vendors and external partners.

Desired Qualifications

  • Experience in banking or other regulated institutions.
  • Knowledge of the AI Act, DORA, GDPR, and regulatory requirements for using technology in financial institutions.
  • Practical experience deploying and optimizing open-source or open-weight models on GPU servers.
  • Knowledge of Python, Docker, Kubernetes, and continuous integration and continuous delivery tools.
  • Experience designing and implementing retrieval-augmented generation solutions based on internal knowledge bases.
  • Knowledge of machine learning operations and large language model operations, model-quality monitoring, and AI lifecycle management.
  • Experience working with international corporate structures.

About the Company

GE Aerospace

Builds jet engines for airlines and armed forces

GE Aerospace designs, builds and services jet engines and aircraft systems for airlines, plane makers and armed forces around the world. Through CFM International, a 50-50 venture with France's Safran, it makes the LEAP engine, the only engine on Boeing's 737 MAX and one of two offered on Airbus's A320neo family. Its other units make avionics and electrical power systems for civil and military aircraft. Most of its revenue comes from repairs, spare parts and long-term service deals that airlines buy over the decades each engine stays in use, with the work done in its own and partner shops. GE Aerospace traces to General Electric, founded in 1892, and is based in Evendale, Ohio.

Company size
10,001+
Company stage
Grant
Total funding
$1B
Headquarters
Evendale, OH
Founded
1892

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