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Metropolitan Transportation AuthorityPosted 30+ days ago

Specialist Software Engineer - AI

Full-time
Hybrid
3+ years
$114K – $135K/yr
Posted 30+ days ago

The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City. This role, as Software AI Engineer, is to design, implement, and maintain innovative AI solutions that solve real-world problems and drive significant business results.

Posted
30+ Days Ago
Source
careers.mta.org
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Collaborate with cross-functional teams to understand business needs, define requirements, and translate them into effective AI solutions
  • Develop and maintain machine learning models, ensuring they are accurate, efficient, and scalable
  • Design and implement AI solutions using large datasets, focusing on data security and user privacy
  • Orchestrate the development and maintenance of CI/CD pipelines for deploying and testing AI applications
  • Ensure governance, security, and compliance of all cloud-based AI solutions
  • Implement best practices for AI model deployment, monitoring, and maintenance
  • Write well-documented, clean, and maintainable code, adhering to best practices and methodologies
  • Continuously iterate and improve upon existing models and solution design/implementation processes, incorporating feedback and lessons learned to enhance accuracy, performance, scalability, and security
  • Stay up-to-date with the latest advancements in AI, machine learning, and Azure services, and apply this knowledge to improve our solutions
  • Defines and manages scoping and requirements definition and ensures traceability to source
  • Designs, codes, verifies, tests, documents, amends, and refactors complex programs/scripts and integration software services. Uses appropriate modelling techniques following agreed software design standards, guidelines, patterns, and methodology. Testing: Develops and executes test plans and test cases; implements scalable and reliable automated tests and frameworks
  • Application Support: Maintains application support processes and uses application management software tools to investigate issues, prioritize and diagnose incidents, collect performance statistics, and create reports
  • Project/Product Management: Defines, documents, and executes small projects or sub-projects. May act as product owner for one or more lower-value products or services, managing elements of the product life cycle to meet customer/user needs and achieve financial or other targets
  • Quality & Safety Assurance: Plans, organizes, and conducts quality and safety assessments and suggests opportunities for improvement. Contributes to identifying, analyzing, and documenting hazards and safety risks
  • Supplier Management: Monitors and reports on supplier performance, customer satisfaction, adherence to security requirements, and market intelligence
  • Skills Development: Continuously develops and maintains personal knowledge of software engineering practices, emerging trends, and technologies
  • May mentor less experienced staff

Qualifications

  • Bachelor's Degree in Arts/Sciences (BA/BS)
  • Minimum 3 years of relevant experience. An equivalent combination of education and experience may be considered in lieu of a degree
  • Prefer at least one certification in the current platform/domain/technical skill. Possible certifications could be, but are not limited to: Certified Software Engineer or equivalent, Agile Project Management, technical certifications relevant to the specific position (and software products and toolsets used in that position), experience with System Development Life Cycle with the specific methodologies in use in the Department
  • A software engineering industry certification, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)
  • Experience administering and developing workflows and specialized UIs in Alfresco or other Document Management systems
  • Hands-on experience in AI, ML, model development, and deployment in a business setting
  • Strong knowledge of machine learning architectures
  • Strong programming skills in languages such as Python and familiarity with relevant libraries (e.g., TensorFlow, NumPy, PyTorch)
  • Experience with deep learning and neural network development
  • Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models
  • Good understanding and experience with AI services such as AI Search, Document Intelligence, NLP, and conversational AI
  • Experience working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations
  • Experience writing complex, highly optimized SQL queries
  • Solid understanding of software engineering fundamentals. Experience with software development best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD)
  • Experience building, configuring, and maintaining secure ML cloud infrastructure. Proficiency with Infrastructure as Code technologies such as Terraform
  • Experience with container services, e.g., Kubernetes
  • Good understanding of cloud security best practices

Preferred

  • Data Structures and Algorithms (Thorough Knowledge/Fully Proficient)
  • Database Management (Thorough Knowledge/Fully Proficient)
  • Web Development (Thorough Knowledge/Fully Proficient)
  • DevOps (Thorough Knowledge/Fully Proficient)
  • Operating Systems (Thorough Knowledge/Fully Proficient)
  • Cybersecurity, including encryption and authentication (Thorough Knowledge/Fully Proficient)
  • Cloud Computing (Thorough Knowledge/Fully Proficient)
  • Active Listening, Attention to Detail, Customer Service
  • Prioritization, Problem Solving, Effective Verbal and Written Communication
  • Attention to Detail

Required skills

AI SearchAlfresco Document ManagementArtificial IntelligenceAuthenticationAutomated TestingCloud ComputingCloud InfrastructureCloud SecurityContinuous DeploymentContinuous IntegrationConversational AICybersecurityData Structures and AlgorithmsDatabase Management

Full job description

The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City. This role, as Software AI Engineer, is to design, implement, and maintain innovative AI solutions that solve real-world problems and drive significant business results.

Responsibilities

  • Collaborate with cross-functional teams to understand business needs, define requirements, and translate them into effective AI solutions
  • Develop and maintain machine learning models, ensuring they are accurate, efficient, and scalable
  • Design and implement AI solutions using large datasets, focusing on data security and user privacy
  • Orchestrate the development and maintenance of CI/CD pipelines for deploying and testing AI applications
  • Ensure governance, security, and compliance of all cloud-based AI solutions
  • Implement best practices for AI model deployment, monitoring, and maintenance
  • Write well-documented, clean, and maintainable code, adhering to best practices and methodologies
  • Continuously iterate and improve upon existing models and solution design/implementation processes, incorporating feedback and lessons learned to enhance accuracy, performance, scalability, and security
  • Stay up-to-date with the latest advancements in AI, machine learning, and Azure services, and apply this knowledge to improve our solutions
  • Defines and manages scoping and requirements definition and ensures traceability to source
  • Designs, codes, verifies, tests, documents, amends, and refactors complex programs/scripts and integration software services. Uses appropriate modelling techniques following agreed software design standards, guidelines, patterns, and methodology. Testing: Develops and executes test plans and test cases; implements scalable and reliable automated tests and frameworks
  • Application Support: Maintains application support processes and uses application management software tools to investigate issues, prioritize and diagnose incidents, collect performance statistics, and create reports
  • Project/Product Management: Defines, documents, and executes small projects or sub-projects. May act as product owner for one or more lower-value products or services, managing elements of the product life cycle to meet customer/user needs and achieve financial or other targets
  • Quality & Safety Assurance: Plans, organizes, and conducts quality and safety assessments and suggests opportunities for improvement. Contributes to identifying, analyzing, and documenting hazards and safety risks
  • Supplier Management: Monitors and reports on supplier performance, customer satisfaction, adherence to security requirements, and market intelligence
  • Skills Development: Continuously develops and maintains personal knowledge of software engineering practices, emerging trends, and technologies
  • May mentor less experienced staff

Preferred

  • Data Structures and Algorithms (Thorough Knowledge/Fully Proficient)
  • Database Management (Thorough Knowledge/Fully Proficient)
  • Web Development (Thorough Knowledge/Fully Proficient)
  • DevOps (Thorough Knowledge/Fully Proficient)
  • Operating Systems (Thorough Knowledge/Fully Proficient)
  • Cybersecurity, including encryption and authentication (Thorough Knowledge/Fully Proficient)
  • Cloud Computing (Thorough Knowledge/Fully Proficient)
  • Active Listening, Attention to Detail, Customer Service
  • Prioritization, Problem Solving, Effective Verbal and Written Communication
  • Data Structures
  • Algorithms
  • Database Management
  • Web Development
  • DevOps
  • Operating Systems
  • Cybersecurity
  • Cloud Computing
  • Active Listening
  • Attention to Detail
  • Customer Service
  • Prioritization
  • Problem Solving
  • Effective Communication

Benefits

  • This position is eligible for teleworking, which is currently 2 days per week.
  • New hires are eligible to apply 30 days after their effective date of hire.

Company

  • Public transit and bridge authority serving New York region
  • New York, NY, US

Founded in 1834

  • 10001+ employees

Qualifications

  • Bachelor's Degree in Arts/Sciences (BA/BS)
  • Minimum 3 years of relevant experience. An equivalent combination of education and experience may be considered in lieu of a degree
  • Prefer at least one certification in the current platform/domain/technical skill. Possible certifications could be, but are not limited to: Certified Software Engineer or equivalent, Agile Project Management, technical certifications relevant to the specific position (and software products and toolsets used in that position), experience with System Development Life Cycle with the specific methodologies in use in the Department
  • A software engineering industry certification, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)
  • Experience administering and developing workflows and specialized UIs in Alfresco or other Document Management systems
  • Hands-on experience in AI, ML, model development, and deployment in a business setting
  • Strong knowledge of machine learning architectures
  • Strong programming skills in languages such as Python and familiarity with relevant libraries (e.g., TensorFlow, NumPy, PyTorch)
  • Experience with deep learning and neural network development
  • Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models
  • Good understanding and experience with AI services such as AI Search, Document Intelligence, NLP, and conversational AI
  • Experience working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations
  • Experience writing complex, highly optimized SQL queries
  • Solid understanding of software engineering fundamentals. Experience with software development best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD)
  • Experience building, configuring, and maintaining secure ML cloud infrastructure. Proficiency with Infrastructure as Code technologies such as Terraform
  • Experience with container services, e.g., Kubernetes
  • Good understanding of cloud security best practices
  • Data Structures and Algorithms (Thorough Knowledge/Fully Proficient)
  • Database Management (Thorough Knowledge/Fully Proficient)
  • Web Development (Thorough Knowledge/Fully Proficient)
  • DevOps (Thorough Knowledge/Fully Proficient)
  • Operating Systems (Thorough Knowledge/Fully Proficient)
  • Cybersecurity, including encryption and authentication (Thorough Knowledge/Fully Proficient)
  • Cloud Computing (Thorough Knowledge/Fully Proficient)
  • Active Listening, Attention to Detail, Customer Service
  • Prioritization, Problem Solving, Effective Verbal and Written Communication
  • Minimum 3 years of relevant experience. An equivalent combination of education and experience may be considered in lieu of a degree.

Required skills

  • AI Search, Alfresco Document Management, Artificial Intelligence, Authentication, Automated Testing, Cloud Computing, Cloud Infrastructure, Cloud Security, Continuous Deployment, Continuous Integration, Conversational AI, Cybersecurity, Data Structures and Algorithms, Database Management, Deep Learning, DevOps, Document Intelligence, Encryption, Generative AI Models, Kubernetes, Machine Learning, Natural Language Processing, Neural Network Development, NumPy, Operating Systems, PyTorch, Python, SQL, Semi-supervised Machine Learning, Software Engineering Fundamentals, Supervised Machine Learning, TensorFlow, Terraform, Unsupervised Machine Learning, Version Control, Web Development

Preferred skills

  • Active Listening, Attention to Detail, Customer Service, Cloud Computing (Thorough Knowledge/Fully Proficient), Database Management (Thorough Knowledge/Fully Proficient), DevOps (Thorough Knowledge/Fully Proficient), Operating Systems (Thorough Knowledge/Fully Proficient), Web Development (Thorough Knowledge/Fully Proficient)

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Jul 31, 2026

Work mode

Hybrid

Job source

careers.mta.org

Company

Metropolitan Transportation Authority

Information Technology & AI

Public transit and bridge authority serving New York region

See all 3 jobs from Metropolitan Transportation Authority →
  • New York, NY, US
  • Information Technology & AI

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Specialist Software Engineer - AI

Metropolitan Transportation Authority · $114K – $135K/yr

Apply on company site