As a Staff AI-Ops Engineer in the Platform Engineering team, you will play a pivotal role in operationalizing, monitoring, and governing the AI/GenAI platform and the models, pipelines, and agents that run on it.
Responsibilities
Design and operate the MLOps/LLMOps backbone for the AI platform on Databricks and Azure Cloud Services
Develop automated CI/CD pipelines and infrastructure-as-code for models, prompts, and agents using Databricks Asset Bundles
Implement end-to-end lineage and version control across data, prompts, retrievals, models, and responses using MLflow
Build observability for data quality, data and model drift, retrieval and hallucination/grounding health, application performance, and business KPIs
Establish automated regression, A/B, canary, shadow, and champion-challenger validation
Requirements
Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field
Lead TPA's evaluation and scoring work for AI Proving Grounds, managing software engineers and data scientists, implementing and debugging software, and owning delivery.
Compensation
Base salary range: $160,000 - $220,000, reflecting our confidence in your expertise and impact, with the opportunity for annual bonuses tied to company performance and individual contributions.
Responsibilities
Hire, coach and develop software engineers and Data Scientists
Define assessment questions, reference cases, evidence requirements and acceptance criteria
Lead delivery from execution coordination through evidence capture, scoring and usable results
Review architecture and code with the Staff Engineer
Build tests for missing evidence, incompatible versions, interrupted runs and misleading results
Design and develop desktop applications, microservices, and RESTful APIs supporting tire alignment services and equipment using C# and C++ on Azure/Cloud infrastructure.
Responsibilities
Design and develop desktop applications, microservices, and RESTful APIs.
Identify core functionalities of tire alignment services and equipment.
Utilize programming languages such as C# and C++.
Work with cloud technologies and platforms such as Azure.
Lead and manage a team of approximately 15 engineers providing 24x7 application support for data governance tools, ensuring production stability and compliance with Truist standards.
Responsibilities
Lead and manage a team of approximately 15 engineers providing 24x7 application support and ensuring production stability.
Partner with stakeholders to define job SLAs, scope work items, and ensure timely incident resolution.
Serve as Delivery Manager in ServiceNow, ensuring compliance with TDLC processes for change management.
Collaborate closely with customers to understand product roadmaps and business requirements, and translate them into well-defined Rally features for automation and environment stability.
Triage production incidents, prioritize issues, and plan effective resolution strategies that meet incident SLAs and documentation standards.
Requirements
Bachelor's degree in related field
Nice to have: 15+ years overall experience
Nice to have: Strong experience in software architecture and system design
Nice to have: Experience collaborating with customers and stakeholders
The Principal Enterprise Architect, Service & Support is responsible for establishing the strategic architecture direction for the Service & Support domain and ensuring that business capabilities, technology investments, platforms, data, integrations, and solutions evolve in alignment with LPL's enterprise architecture strategy.
Compensation
Pay Range: $155,942.00 - $259,869.00
Responsibilities
Own the Enterprise Architecture strategy for the Service & Support domain, defining current-state, interim-state, and target-state architectures aligned with business capabilities and enterprise technology strategy.
Develop and maintain business capability maps, technology blueprints, reference architectures, transition architectures, and multi-year modernization roadmaps for Service & Support capabilities.
Partner with Business and Product leadership to understand strategic objectives, customer and advisor experience needs, operational challenges, and capability gaps, translating them into architecture priorities.
Provide architectural leadership for the modernization of Service & Support capabilities, including CRM, case management, workflow, knowledge management, contact center, advisor servicing, integration, data, and AI-enabled service capabilities.
Evaluate existing platforms and solutions to identify technical debt, capability duplication, scalability constraints, integration complexity, security risks, and modernization opportunities.
Requirements
Manager, Site Reliability Engineering - Storage Layer Service
Lead a small team of SREs to build and operate MongoDB’s Storage Layer Services, defining SLOs, capacity plans, and ensuring reliability of the next‑generation cloud storage architecture.
Responsibilities
Build and lead a team of 6‑8 engineers
Define and drive a technical vision and roadmap for multi‑tenant distributed storage systems
Contribute through hands‑on technical work such as architectural design reviews and PR reviews
Act as the primary liaison for the Storage Layer Services SRE team
Collaborate closely with other engineering leaders to ensure platform alignment
Architect, deploy, and manage the critical infrastructure services required for large-scale AI model training and inference.
Compensation
For this position we are targeting a base pay between $190,000 - $237,000.
Responsibilities
Architect, deploy, and manage critical infrastructure services for large-scale AI model training and inference
Ensure machine learning platforms are robust and efficient, bridging the gap between raw data and high-performance AI models
Deploy, scale, and manage resilient infrastructure services tailored for distributed AI model training and low-latency inference
Utilize and maintain end-to-end tooling—including MLflow for experiment tracking and model registry—to streamline and optimize the AI development lifecycle
Cloud Engineer, Mid, utilizing cutting-edge enterprise cloud platforms to support clients in modernizing IT infrastructure and meeting national security missions.
Compensation
The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).
Responsibilities
Design, develop, test, and deploy cloud solution components using AWS
Work within a DevOps framework to create and manage container apps
Collaborate with fellow cloud architects and engineers
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