RTX Corporate, through RTX Enterprise Services, is seeking an Applied AI Engineer to design, build, evaluate, and deploy production-grade AI, machine learning, and Generative AI solutions. This hybrid role emphasizes retrieval and agentic AI, reliable system behavior, and integrating AI capabilities into secure, scalable enterprise environments.
Responsibilities
- Design, develop, and deploy production-grade AI and ML solutions using suitable combinations of traditional machine learning, Generative AI, retrieval-augmented generation, agentic AI, and software engineering.
- Build AI agents and intelligent workflows that can reason, use tools, interact with enterprise applications and data, and execute multi-step processes with appropriate human oversight.
- Develop retrieval and context-engineering solutions leveraging enterprise data, embeddings, vector and enterprise search, knowledge sources, prompts, memory, and other grounding techniques.
- Integrate AI solutions with enterprise applications, APIs, data sources, and tools via standard interfaces and interoperability approaches such as Model Context Protocol (MCP).
- Select models and solution approaches based on quality, reliability, latency, cost, security, scalability, and business requirements, and create systematic evaluation cases to measure performance.
- Develop production-quality software, APIs, integrations, tools, and reusable AI components to deliver end-to-end AI solutions while leveraging enterprise platform capabilities.
- Diagnose and improve AI system behavior using evaluations, traces, telemetry, user feedback, and failure analysis, addressing groundedness, task completion, robustness, and production reliability.
- Partner with AI Architecture, Platform Engineering, Data, Evaluation, Cybersecurity, and business teams to transition solutions from experimentation into secure, scalable production environments.
Requirements
- A University Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related STEM, plus a minimum of 8 years of relevant professional experience, or an Advanced Degree in a related field plus a minimum of 5 years of relevant professional experience.
- Minimum 3 years of hands-on experience developing, integrating, or deploying AI/ML solutions, including experience moving AI/ML capabilities beyond experimentation into production or production-like environments.
- Software engineering experience, including hands-on Python development and experience creating production-quality, tested, maintainable software.
- Experience building applications using Generative AI and large language models, including prompt or context engineering, model integration, structured outputs, retrieval, or tool use.
- Experience integrating software with APIs, databases, enterprise applications, cloud services, or other external systems.
- Experience applying software development practices such as source control, automated testing, CI/CD, containerization, and production deployment.
- Experience with machine learning fundamentals, model evaluation, and model selection tradeoffs for business problem solving.
Technologies
- Python
- Generative AI
- Large language models
- Retrieval-augmented generation
- Agentic AI
- Embeddings
- Vector databases
- Enterprise search
- Knowledge graphs
- Model Context Protocol (MCP)
- LangGraph
- CrewAI
- IBM watsonx
- AWS Bedrock
- Microsoft AI platforms
- n8n
- Docker
- Kubernetes
- CI/CD
- Containerization
Benefits
- Healthcare, wellness, retirement and work/life benefits
- Parental (including paternal) leave
- Flexible work schedules
- Achievement awards
- Educational assistance
- Child/adult backup care
- Medical, dental, vision, life insurance
- Short-term disability, long-term disability
- 401(k) match
- Flexible spending accounts
- Employee assistance program
- Employee Scholar Program
- Paid time off and holidays
- Annual short-term and/or long-term incentive compensation programs (depending on level and coverage)
Citizenship and Security Requirements
- This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons.
- Security clearance type: None/Not Required
- Security clearance status: Not Required
Work Location
This is a hybrid role. Eligible candidates must reside within commuting distance of Farmington, CT, El Segundo, CA, San Jose, CA, Tucson, AZ, McKinney, TX, Andover, MA, Cedar Rapids, IA, or Charlotte, NC. Employees in hybrid roles work regularly both onsite and offsite, with the onsite time ratio determined in partnership with their leader.
Salary Range
USD 107,500 - 204,500 per year.
