Senior AI Architect

Job Description Summary

We’re looking for a Senior AI Architect to lead the creation of transformative AI capabilities in the Supply Chain domain. You’ll architect scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting‑edge generative AI to boost decision‑making, streamline workflows, and solve some of the most complex campaign‑level modeling challenges in the defense space. If you thrive at the intersection of AI innovation, technical leadership, and mission impact, this is your chance to invent the future Supply Chain from concept to operational deployment.

Bring your expertise, shape the strategy, mentor top talent, and push the boundaries of what’s possible in AI.

• Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.
• 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 Llama
  3.
• Apply frameworks such as Lang Chain 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.
• 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.

• Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) from an accredited college or university
• Minimum of 5 years of AI/ML/Software Engineering Development experience
• GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.

• 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.

• Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates
• Understand how internal and/or external business model works and facilitate active customer engagement
• Able to articulate the value of what is most important to the business/customer to achieve…