Senior Applied AI Engineer - Hybrid, Production AI

RTX (Raytheon)

Farmington (CT)

On-site

USD 140,000 - 190,000

Full time

2 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

RTX is seeking an experienced Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions addressing complex business and engineering problems across RTX. The role blends strong software engineering with hands-on AI/ML expertise, including generative AI, retrieval, and agentic AI.

You will collaborate with AI Architects, Platform Engineers, data teams, product teams, and other engineering groups to move solutions from prototype to secure production environments

Qualifications

University Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related STEM discipline.
Minimum of 8 years of relevant professional experience.

Responsibilities

Design, develop, and deploy production-grade AI and ML solutions across RTX.
Build AI agents and intelligent workflows that reason and interact with enterprise data and tools.
Develop retrieval and context-engineering solutions using embeddings, vectors, and knowledge sources.
Evaluate models and select approaches based on quality, reliability, latency, cost, security, and scalability.
Deliver end-to-end AI software, APIs, integrations, and reusable components.
Diagnose AI system behavior using telemetry, feedback, and failure analysis.

Education

University Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related STEM discipline

Job description

You will collaborate with AI Architects, Platform Engineers, data teams, product teams, and other engineering groups to move solutions from prototype to secure production environments

Get your free, confidential resume review.

or drag and drop your file here.