Data and AI Platform Engineer, Solution Architect jobs in United States
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RTX · 3 hours ago

Data and AI Platform Engineer, Solution Architect

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. They are seeking a Data and AI Platform Engineer, Solution Architect to design and implement ML and Agentic architectures, evaluate emerging technologies, and collaborate with various teams to translate AI models into operational value.

AerospaceManufacturingSecuritySensorTelecommunications
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Responsibilities

Design and implement ML and Agentic architectures across a wide range of business domains
Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, efficiency, and scalability
Establish and enforce best practices for agentic systems, including protocol adoption, agent / tool strategies, reasoning orchestration and basic functions such as context management and memory capabilities
Work closely with data scientists, ML engineers, software developers, and business stakeholders to translate AI models into operational value
Maintain and continuously improve the operational model of the platform, including working with the Operations team to provide best-in-class monitoring, logging, alerting, incident management, and disaster recovery procedures
Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, robustness, efficiency, security and scalability
Partner with the enterprise architecture and data and AI governance teams to align the platform capabilities and controls to internal and external Legal, Cyber and Governance requirements
Partner with teams implementing “embedded” [COTS] agents to integrate into the platform

Qualification

AI/ML platform designArchitectureSystems engineeringData governanceAerospaceDefense experienceABAC policy managementMachine learningScaled Agile familiarityDevOps frameworksCommunicationProblem-solving ability

Required

Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience
10+ years of experience in architecture, systems engineering, software, or related area with demonstrated technical skills in the above areas

Preferred

Advanced degree in STEM
Experience in Aerospace and Defense or other regulated industries
Experience with Gov or Classified Environments
Experience with ABAC policy management (Immuta, Privacera)
Experience with analytics, machine learning and use-of-data patterns
Demonstrated ability to convert technology to business value
Ability to solve complex problems
Excellent communication skills
Experience specifically in designing, deploying, and operating AI/ML platforms or complex distributed systems
Familiarity with Scaled Agile Product Management and DevOps frameworks

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
Holidays

Company

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Funding

Current Stage
Public Company
Total Funding
$3.2M
Key Investors
LIFT Ecosystem Accelerator
2024-02-22Grant· $0.2M
2019-06-09Acquired
2010-01-14Grant· $3M

Leadership Team

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Daniel Conroy
Chief Technology Officer - Digital
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Kevin DaSilva
Corporate Vice President & Treasurer
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Company data provided by crunchbase