Participates in the Bank’s Technology Development Program (TDP), a 2-year rotational training program for Bachelor degreed individuals in a technical discipline, focusing on Data & API Engineering.
Compensation
The pay range for this position is $29.57 - $43.99 per hour.
Responsibilities
Mentor with experienced technology staff to develop in-depth technical skills in a specific technical discipline such as Software Engineering, Engineering, Architecture, Data Engineering or Cybersecurity.
Complete a series of rotations, over a set timeframe, in multiple technical disciplines beyond original discipline, to gain a broader understanding of them, how they are utilized at the Bank and how they work together to deliver solutions and services to internal and external customers.
Determine post-program assignment in one of the core areas through career path design, performance, assessment, and interest.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Promote an environment that supports belonging and reflects the M&T Bank brand.
Requirements
Bachelor’s degree in Computer Science, Information Technology related field
Nice to have: Intermediate to advanced programming skills
Nice to have: Experience from technology internships
Support the full lifecycle of platform solutions, from technical design and implementation through to monitoring, optimization, and post-implementation support
Design, develop, maintain, and enhance .NET-based APIs and integrations connecting CRM with enterprise platforms and other internal systems
Ensure integrations are reliable, scalable, and capable of supporting high transaction volumes and demanding processing requirements
Analyze and strengthen monitoring and observability across interfaces using technologies such as Microsoft Application Insights, OpenTelemetry, and Grafana
Develop and enhance internal tooling for monitoring, compliance, and visibility across the connected technology ecosystem
Lead technical vision and architecture for AI‑powered loyalty experiences at Expedia Group.
Compensation
The total cash range for this position in San Jose is $249,000.00 to $348,500.00. Employees in this role have the potential to increase their pay up to $398,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Set the architectural vision, design, and delivery approach for complex software solutions across multiple technical domains, enabling AI and machine learning powered loyalty offers and experiences.
Drive system design, API development, and data modeling to keep platforms secure, maintainable, and scalable.
Take on the most technically demanding problems across the loyalty experience ecosystem, closing critical gaps.
Mentor and raise the bar for engineering teams, fostering technical excellence and encouraging genuine innovation.
Elevate and simplify, keeping business problems and customer metrics in view.
Requirements
Bachelor's degree in Computer Science or a related technical field
The AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth.
Responsibilities
Design and implementation of the environment that deploys scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows that support clinical, operational, and business objectives.
Develops and maintains end-to-end machine learning and RAG pipelines supporting data ingestion, application feature engineering, training, evaluation, deployment, and lifecycle management.
Architects and supports production-grade DevOps practices, including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.
Deploys and manages AI/ML applications in cloud environments, ensuring solutions are secure, reliable, performant, and operationally supportable.
Implements observability and performance evaluation practices to manage compute resource utilization, performance, and cost efficiency.
A hands-on technical contributor (Generative AI) responsible for building, deploying, and maintaining production-grade AI/ML and Generative AI solutions across client and internal initiatives.
Compensation
The pay range for this position is $107500.00 - $161300.00/yr.
Responsibilities
Design, implement, test, deploy, and maintain production-grade AI/ML and Generative AI solutions.
Build and integrate LLM-powered application capabilities including summarization, Q&A, document processing, semantic search, and workflow augmentation.
Develop retrieval-augmented generation (RAG) solutions using embeddings, chunking strategies, vector databases or search, semantic retrieval, and grounding techniques.
Integrate hosted AI services and foundation models into enterprise applications through secure APIs, microservices, and cloud-native services.
Develop and maintain backend services, APIs, pipelines, and automation using Python and related frameworks.
Design, build, and maintain full-stack applications using TypeScript and Python, owning features and products throughout the software development lifecycle, and contributing to emerging AI initiatives.
Compensation
The pay range for this position is $69.00 - $73.00/hr.
Responsibilities
Design, build, and maintain full-stack applications using TypeScript and Python
Own features and products throughout the entire software development lifecycle
Develop and maintain scalable APIs and cloud-native services
Partner with business and product stakeholders to gather requirements and translate them into technical solutions
Build reliable, secure, and maintainable production systems
AI/ML Engineer IITEKsystems · Remote, US