Lead a team of software engineers to deliver meaningful customer and business outcomes.
Compensation
Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead a team of software engineers to deliver meaningful customer and business outcomes.
Own the technical quality and engineering outcomes of the team.
Drive engineering excellence across design, implementation, testing, deployment, security, reliability, performance, and maintainability using AI to improve engineering quality and effectiveness.
A deeply technical Principal Software Engineer who combines exceptional engineering judgment with a drive for results, providing technical leadership within Microsoft Purview Insider Risk Management (IRM) across high-throughput, multi-tenant cloud services, large-scale distributed data processing systems, and AI-powered capabilities.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Set technical direction for complex, high-scale systems
Lead complex initiatives across team boundaries
Raise the engineering bar across architecture, design, implementation, testing, deployment, security, reliability, performance, and maintainability
Solve systemic engineering problems
Multiply the impact of other engineers through mentoring and coaching
Requirements
Bachelor's Degree in Computer Science or related technical discipline
Join an early-stage AI video team as a founding backend engineer, helping build the systems behind generative video products. You will provide technical leadership on a small team and establish strong engineering practices as the product and infrastructure grow.
Compensation
Base salary: $225,000 to $275,000 annually. Visa sponsorship is not available.
Responsibilities
Design and develop scalable backend systems for AI-powered video creation.
Build infrastructure for agentic workflows, video generation pipelines, reinforcement learning loops, and real-time data processing.
Own distributed systems architecture and improve reliability through automated testing, performance benchmarks, and end-to-end observability.
Partner with research, engineering, and design teammates to develop product features and APIs.
Write production code, set technical direction and engineering guidelines, and raise the team's engineering standards.
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products against 3DEP, ASPRS, contractual, and project-specific requirements.
Responsibilities
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products
Develop and implement advanced methods for evaluating lidar point density, spatial distribution, completeness, and localized deficiencies
Perform vertical accuracy assessments using GNSS, total-station, terrestrial laser scanning, UAS, and other independent reference datasets
Investigate lidar anomalies and determine whether observed deficiencies are associated with acquisition, calibration, classification, processing, or product-generation workflows
Develop scalable Python-based tools for processing tens of millions of points per tile and thousands of production datasets
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.
Lead the engineering organization responsible for defining, building, and delivering complex data and AI infrastructure software.
Compensation
The target salary range for this position is 266,050 - 396,000 USD.
Responsibilities
Own end-to-end engineering delivery, from design through implementation, testing, and production reliability.
Provide deep technical leadership, design reviews, and guidance on performance, scalability, security, and system tradeoffs, including accelerated computing where relevant; partner with senior architects to turn technical direction into robust products.
Translate product priorities and customer commitments into realistic engineering plans with clear owners, milestones, dependencies, quality gates, and measurable outcomes.
Build a disciplined execution culture with high engineering velocity, transparent progress, timely decisions, and accountability for commitments.
Recruit, coach, and retain exceptional engineers and engineering leaders; define team structures, clarify decision rights, develop successors, and raise the technical bar.
Senior Data Architect responsible for defining, governing, and evolving the Asset Management Group data architecture across analytical, operational, and digital domains.
Locations (2)
Cleveland, Ohio, United States
Pittsburgh, Pennsylvania, United States
Compensation
Base Salary: $112,000.00 – $228,800.00
Responsibilities
Define and maintain target-state architecture for domain analytical and operational data platforms
Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures
Define migration strategies for existing Hadoop-based analytical environments and data workloads
Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability
Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models
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