Applied AI Engineer

RTX • Farmington, CT

13h • Hybrid

About The Position

This position is part of the Enterprise Services – Data & AI organization within RTX Corporate, supporting the company’s mission to develop and scale AI capabilities responsibly and securely across the enterprise. The Applied AI Engineer designs and builds AI-enabled applications that enhance productivity and decision-making across RTX. This hands-on role focuses on developing reusable components, autonomous workflows, and multi-agent patterns that demonstrate measurable business value from modern AI technologies.

Requirements

• Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
• Python & TypeScript for AI apps
• LLM frameworks (LangChain, AutoGen, Semantic Kernel)
• Agentic AI concepts; vector search (Pinecone, FAISS, Azure AI Search)
• Cloud AI services & APIs (OpenAI, Anthropic, Azure AI, Bedrock)

Nice To Haves

• Hands-on experience building and deploying agents for business use cases (e.g., workflow orchestration, data transformation or analysis, multi-agent system)
• Understanding of prompt engineering, contextual retrieval, and self-reflective agent design.
• Familiarity with enterprise integration patterns and secure API development.
• Strong communication skills and ability to translate business requirements into technical solutions.

Responsibilities

• Build and deploy AI applications that leverage large language models (LLMs) and agentic reasoning frameworks to perform complex, multi-step tasks.
• Design and implement context-aware orchestration, tool-use, and memory mechanisms that allow AI systems to operate autonomously within defined boundaries.
• Collaborate with business stakeholders to prototype AI copilots and digital assistants that augment human workflows in engineering, sustainment, and operations.
• Develop reusable SDKs, documentation, and internal demos to accelerate adoption of AI capabilities.
• Partner with platform and MLOps teams to ensure solutions are secure, scalable, and governed.

Benefits

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees