GE Aerospace is hiring a Senior AI Architect

GE Aerospace is hiring a Senior AI Architect to lead the creation of transformative AI capabilities within our Supply Chain domain. You will architect scalable, secure, and high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to enhance decision-making, streamline workflows, and solve complex campaign-level modeling challenges in the defense sector.

What You'll Do

• Work with business teams, data scientists, and engineers to comprehend business objectives and define technical requirements.
• Architect Generative AI solutions using techniques like retrieval augmented generation and transformer architectures for large-scale, intricate solutions.
• Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5/4.0, Anthropic Claude, Google PaLM 2, and Meta Llama2/Llama3.
• Apply frameworks like LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models.
• Assess and choose suitable Generative AI technologies, tools, and frameworks for performance, precision, and scalability.
• Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices.
• Construct and sustain Generative AI workflows, incorporating stages like data cleansing, pre-processing, model training/fine-tuning, and feedback loops.
• 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 in Generative AI and pinpoint opportunities for use within the organization.
• Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of LLMs in operational environments.
• Document Generative AI design choices and technical specifications for reference and knowledge dissemination.

What We're Looking For

• Bachelor's Degree in Computer Science or STEM Majors from an accredited college or university.
• Minimum of 5 years of AI/ML/Software Engineering Development experience.
• Must be a U.S. Person (U.S. lawful permanent resident, U.S. Citizen, or protected individual under 8 U.S.C. 1324b(a)(3)).

Nice to Have

• 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 business needs.
• 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 and guide customers as they integrate with legacy tech investments.
• Adept at navigating the organizational matrix; understanding people's roles, foresee obstacles, identify workarounds, leverage resources.
• 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 outcomes.
• Able to produce functional area information using presentation and storytelling concepts.
• Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level.
• Demonstrated working knowledge of internal organization.
• Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.
• Demonstrated Change Management / Acceleration capabilities.
• Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels.
• Proven analytical and problem resolution skills.
• Ability to influence and build consensus with other Digital Technology teams and leadership.

Technical Stack

• Generative AI, Retrieval Augmented Generation, Transformer Architectures
• Models: OpenAI GPT 3.5/4.0, Anthropic Claude, Google PaLM 2, Meta Llama2/Llama3
• Frameworks: LangChain, Llama Index
• Large Language Models (LLMs)

Team & Environment

You will work with business teams, data scientists, software engineers, infrastructure teams, and 3rd party partners.

Benefits & Compensation

• Annual salary range: $131,000.00 - $175,000.00
• Health care coverage (medical, dental, vision, pharmacy).
• Access to a Health Coach, a 24/7 nurse-based resource.
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement plan includes GE Retirement Savings Plan and a 401K with Company matching contributions.
• Life Insurance options.
• Disability coverage.
• Paid time-off.
• Tuition assistance.
• Adoption assistance.
• Paid parental leave.

Work Mode

This position is remote and open to candidates located within the United States.

GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.