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
Logistics Planner (Level 2) to review, analyze, prepare, and modify provisioning data, and provide guidance in the preparation of Provisioning Technical Documentation (PTD) and related data.
Review, analyze, prepare, and modify provisioning data
Provide guidance in the preparation of Provisioning Technical Documentation (PTD) and related data
Identify, select, catalog and determine support material requirements
Support modifications, reviews, and updates to provisioning lists
Attend and support provisioning meetings and conferences
Requirements
Bachelor’s Degree with a minimum of 2 years’ experience in Logistics, Supply Chain Management and or experience as a qualified mechanic, technician, or operator in a technical field such as aircraft, ship, missile, or space systems
Logistics Planner (Level 2) to review, analyze, prepare, and modify provisioning data, and provide guidance in the preparation of Provisioning Technical Documentation (PTD) and related data.
Review, analyze, prepare, and modify provisioning data
Provide guidance in the preparation of Provisioning Technical Documentation (PTD) and related data
Identify, select, catalog and determine support material requirements
Support modifications, reviews, and updates to provisioning lists
Attend and support provisioning meetings and conferences
Requirements
Bachelor’s Degree with a minimum of 2 years’ experience in Logistics, Supply Chain Management and or experience as a qualified mechanic, technician, or operator in a technical field such as aircraft, ship, missile, or space systems
Masters Degree
Nice to have: Aviation maintenance processes
Nice to have: Aircraft systems of a modern military aircraft
Konzeption und Entwicklung generativer AI-Lösungen zur interaktiven Bereitstellung interner Wissensquellen – insbesondere durch den Einsatz von Retrieval-Augmented Generation (RAG), Open-Source-LLMs, Chatbots und intelligenten Assistenzsystemen.
Responsibilities
Konzeption und Entwicklung generativer AI-Lösungen
Integration und Orchestrierung von Sprachmodellen, Agents und internen Datenquellen
Partnerschaftliche Beratung öffentlicher Auftraggeber entlang des gesamten Projektzyklus
Verantwortung für Qualität und Projekterfolg
Requirements
Studienabschluss der (Wirtschafts-) Informatik, Mathematik, Statisik oder eines vergleichbaren Studiengangs
Oversee procurement, material tracking, and logistics support for depot-level maintenance operations at the Forward Deployed Regional Maintenance Center (FDRMC).
Compensation
$80,000 - 90,000
Responsibilities
Identify, initiate, and coordinate procurement orders for planned and emergent material requirements necessary for depot-level maintenance
Provide technical research and logistical support to Waterfront Operations (WFO) maintenance planning teams to meet mission requirements
Review contractor material requirements for technical and administrative accuracy, rejecting requests that do not align with established procedures
Verify the availability of adequate funding before procuring materials and ensure proper budget execution
Track and expedite material shipments to ensure timely delivery
Lead data science initiatives for Apple’s US Decision Intelligence team, building predictive models, automated insight pipelines, and GenAI-powered tools to support sales operations.
Responsibilities
Build and scale automated insight pipelines
Develop ML models to detect opportunities and diagnose performance issues
Embed insights into AI agents, dashboards, and GenAI tools
Translate business problems into technical solutions
Present insights to senior leadership
Requirements
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field
Nice to have: GenAI frameworks (LangChain, LlamaIndex, Haystack)
Design and build enterprise-grade, production-ready conversational and Agentic AI systems, including multi-agent, tool-augmented GenAI solutions capable of reasoning and planning.
Locations (3)
Hyderabad, Telangana, India
Noida, Uttar Pradesh, India
Chennai, Tamil Nadu, India
Responsibilities
Design, develop, and deploy production-grade GenAI solutions using advanced LLMs (OpenAI APIs such as GPT-4.1, GPT-4o, etc.).
Implement Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured enterprise data.
Design hybrid search architectures combining Vector DBs and Graph DBs.
Build Agentic AI workflows using frameworks such as LangChain, LangGraph, and Haystack.
Develop and integrate AI-powered chatbots and agents within the Azure ecosystem.
Lead and manage site operations, staffing, and logistics support for Ogden Air Logistics Complex under the Air Force Industrial Product-Support Vendor contract.
Locations (2)
Hill AFB, Utah, United States
Ogden, Utah, United States
Compensation
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
Responsibilities
Ensure smooth flow of bench stock parts to production lines
Develop and manage staffing requirements and training schedules
Produce required reports for the Government
Brief AF, DLA and ASRC Federal officials on site operations
Oversee bench stock placement and inventory management
Requirements
Associate's Degree or Supply Chain Management Certification
Lead the Building Digitalization team performance analysis and review, manage team operations, and drive improvement initiatives related to building digitalization.
Compensation
$66,300.00 - $94,850.00
Responsibilities
Continuously improve the team’s operations by identifying any inefficiencies and by implementing solutions address them
Create a positive work environment
Work with leadership to drive improvement initiatives and projects respective to the Building Digitalization team
Responsible for training of new team members on tools, systems, and procedures
Ensure the team meets established Service Level Agreements (SLAs) and identification of performance metrics
Requirements
Bachelor’s degree in building or mechanical engineering
technical degree in related field
Nice to have: advanced degree or equivalent experience
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