GE Aerospace is looking to lead the creation of transformative AI capabilities in the Supply Chain domain by architecting scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to boost decision-making, streamline workflows, and solve complex campaign-level modeling challenges in the defense space.
Requirements
- Minimum of 5 years of AI/ML/Software Engineering Development experience
- Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level
- Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business.
- Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.
- Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.
- Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.
- Able to lead early-stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.
Responsibilities
- Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.
- Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.
- Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
- Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.
- Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.
- Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.
- Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.
Other
- Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.
- Conduct frequent code assessments and provide technical mentorship to less experienced team members.
- Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.
- Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.
- Document Generative AI design choices and technical specifications for reference and knowledge dissemination.
