div>10+ years of experience with deep expertise in GPU architecture (memory hierarchy, tensor cores, NVLink) and GPU resource management across cloud and on‑prem environments, along with 5+ years in performance optimization, parallel computing, and low‑level systems using C++ and GPGPU frameworks (CUDA preferred; HIP/OpenCL/Metal acceptable).
Strong programming in Python (preferred) or Java, with experience in CI/CD and cloud-native tools (Git, Jenkins, Docker, Kubernetes); excellent communication skills, fast-paced delivery mentality, and a Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
What makes this role distinct is that you will also architect and operate the AI-assisted proposal workflow: building and maintaining the answer corpus, tuning retrieval pipelines, and managing the human review loop that ensures every response is accurate, competitive, and on-brand. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals.
This is a great opportunity for someone who thrives in an ambiguous, fast-changing, highly matrixed environment and enjoys working cross-functionally with teams like HR Business Partners, Talent Acquisition, Talent Management, Total Rewards, and People Operations. In this role, you'll play a key role in improving the effectiveness, scalability, and innovation of the HR organization by leading complex, cross-functional initiatives and identifying opportunities to leverage AI and automation across HR processes and workflows.
li>Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns). Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. As a Product Owner within SMAI, you will play an important role on the team that defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business.
For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Through the seamless integration of advanced AI-enabled analytics and automation, you will elevate capacity management—enhancing forecast precision, accelerating decision-making, and optimizing utilization to support a successful ramp and sustained operations.
ul>Initial focus of this position will be to support FE-SMAI Quality pillar initiatives, which includes: Identification and pioneering new solutions driven by business needs from idea inception phase to prototyping and proof of concept delivery to end users. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
This role blends pre-sales evangelism, executive storytelling, workshops, and technical demonstrations to help customers understand what is possible with Microsoft Copilot, AI, data platforms, automation, and secure adoption-and how to move from interest to action. Build and deliver repeatable demos, talk tracks, and workshop experiences that showcase Microsoft Copilot, AI, agents and automation, analytics, and secure adoption patterns.
Micron's Technology & Products Group (TPG) Workforce Development team is seeking an AI Workflow Integration Specialist to drive the adoption and implementation of AI-enabled solutions across Onboarding, On-the-Job Training (OJT) Operations, and Technical Training. The TPG Workforce Development AI Workflow Integration Specialist partners with subject matter experts and leaders to transform workforce development functions through the integration of AI, automation, and process optimization.
li>Build and integrate systems using the Model Context Protocol (MCP) to enable structured context sharing between models, tools, and agents, tool and capability exposure to LLM‑based agents, and interoperability across AI components without hard‑coded integrations. This role focuses on designing and integrating AI-powered solutions using custom agents, Model Context Protocol (MCP), and scalable software engineering practices to accelerate development and deliver reliable, production-grade systems.
Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arizona - Home Teleworkers, Arkansas - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}. As the product owner, this leader will drive vision, strategy, roadmap, and adoption, translating complex business and technical needs into a scalable, governed, and business-aligned product that powers search, analytics, automation, interoperability, and generative AI use cases.
em> 5+ years in a technical operations, platform engineering, or SRE leadership role is required 2+ years building and deploying AI agents in production environments, including AI/ML ops (model monitoring, feature store management, RAG, vector store enablement) is required Experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable) is required Experience building observability and monitoring for production services is required Experience with identity and access management for technical platforms is required Demonstrated understanding of AI security risks: prompt injection, data leakage, model abuse is required Experience leading or building a technical team is required Experience with agent orchestration frameworks (MCP, LangChain, CrewAI, AutoGen, or similar) Experience with LLM operational patterns: token management, caching, rate limiting, fallback strategies Experience in a regulated industry (financial services, insurance, healthcare) Experience with cost optimization for cloud AI consumption Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, or internal frameworks) Experience building or operating an internal AI agent marketplace or enterprise AI access layer Cloud platform certifications preferred (Azure, AWS, or GCP) AI/ML certifications preferred but not required Job Specific: Translates between data teams and infrastructure teams. The ability to work with limited direction and communicate relevant information to the appropriate levels during times of uncertainty MS Office: Skilled proficiency in Excel, Word, Outlook Precision: Is detail orientated and has a strong desire for accuracy and thoroughness Communicator: The ability to communicate clearly and informatively, verbally and in writing, with colleagues, customers, and the community in both technical and non-technical professional language Leadership & Managing Others: Establishes and communicates a compelling and inspiring vision, creates winning strategies and plans, ensures team goals are aligned with company goals; develops both self and others is required.
ul>In collaboration with a domain knowledge expert, develop and maintain core School of Splunk Field Sales Enablement portfolio - including learning paths, agentic interactions and instructor-led experiences, and certifications - with emphasis on the Splunk Digital Resilience Platform, AI upskilling, and Cisco Data Fabric positioning. Be the voice of the seller and sales engineer/technical seller in all content planning and design, ensuring sellers can effectively position Splunk as Cisco''s Digital Resilience Platform, articulate Cisco''s AI strategy, and engage customers in significant Splunk platform conversations.
The ideal candidate will haveRequired Skills & Qualifications Bachelors or Masters degree in Computer Science Engineering Data Science or related field Hands-on experience with Copilot Studio andor AI Foundry Proven track record ofdeploying at least one Copilot Studio or AI Foundry solution into production Strong programming skills inPython Experience working withModel Context Protocol MCPor similar integration frameworks Demonstrated ability to build and operationalize AIML or generative AI solutions at scale Familiarity with cloud platforms preferably Microsoft Azure Strong understanding of APIs microservices and system integrations Excellent problem-solving and stakeholder communication skillsPreferred Skills & Qualifications Experience inutilities energy or gas industryenvironments Knowledge of field operations asset management or regulatory requirements within utilities Experience building conversational AI copilots or autonomous agents Familiarity with data pipelines orchestration tools and real-time data processing Experience with Azure AI services and enterprise AI governancePay Rate 50 - 58 per hour. Pay range offered to a successful candidate will be based on several factors including the candidates education work experience work location specific job duties certifications etc.
p>Key Responsibilities The Product Manager/Owner works directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments. They translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.
li>Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data. Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.
p>Newsweek Recognizes Sedgwick as Americas Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance. Design secure tool integration layers connecting agents to claims systems, policy platforms, data warehouses, document repositories, and external data services.
ul>Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.
p/>The Senior Director, AI, Workforce Innovation, and People Analytics is a visionary leader responsible for driving the strategic integration of advanced technologies, AI, and Human Capital Management (HCM) solutions to transform workforce operations and elevate employee experience. For additional information regarding the Benefit programs available, please see the Benefits Guide posted onmicron.com/careers/benefits.
For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Deep understanding of modern AI stacks (e.g., Azure OpenAI, Microsoft 365 Copilot, vector databases) and MLOps ecosystems; familiarity with security automation tools (for code scanning, vulnerability management, and data classification).
Required Education (must meet one of the following): • Bachelor or International Equivalency degree in Cybersecurity, Computer Science, Electrical Engineering, Information Systems, or closely related field of study; or equivalent work experience (Two years relevant work experience is equivalent to one-year college) • Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely related field of study + 2 years additional experience. The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data.
This role sits at the intersection of business needs and AI technology, where you'll help translate business challenges into innovative AI solutions that deliver measurable impact- all in service of making our members' health journeys easier. What You Bring to Cambia:
Qualifications:
The Product Manager I would have a BA/BS in Business Administration or relevant field with 4+ years' experience in a product management position in healthcare, or equivalent combination of education and experience.
Practical experience with Azure AI Foundry (Azure AI Studio), including: GPT 4/4o models Embeddings and vector search Prompt flow Cognitive Services (Vision, Language, Speech, Search) Ability to design and consume REST APIs and integrate them into Power Platform solutions. Duration: 2+ Months/ Extend **100% Remote**
Job Description:- We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem.
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. PRIMARY PURPOSE OF THE ROLE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.
p style="text-align:inherit"/>The TPG AI Workforce Transformation Specialist partners with TPG leaders, AI pillar teams, and workforce stakeholders to design and scale AI capability aligned to business priorities. This role ensures employees can effectively apply approved AI tools in their daily work by connecting learning to real tasks, workflows, and problem solving — enabling faster execution, new ideas, and improved ways of working.
p style="text-align:inherit"/>As the Senior Manager of AI Platforms Service Management for Micron's EnableAI initiative, you will own the end-to-end service lifecycle for Micron's enterprise AI platforms — including Microsoft 365 Copilot, GitHub Copilot, Anthropic Claude, Azure OpenAI, UiPath, and emerging agentic platforms.
Platform Strategy & Lifecycle Ownership: Own the end-to-end lifecycle for Micron's AI platform portfolio (e.g., Microsoft 365 Copilot, GitHub Copilot, Anthropic, Azure OpenAI, UiPath, agentic platforms) — evaluation, onboarding, deployment, steady-state operations, and retirement.
p style="text-align:inherit"/>As the Principal AI FinOps & Tokenomics lead for Micron’s EnableAI initiative, you will own the enterprise AI financial operating model—ensuring AI consumption is transparent, predictable, and tightly linked to business value. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
p>Working closely with senior stakeholders across business, technology and risk functions, you will support the development of scalable governance, control and remediation approaches; improve visibility and prioritisation through data insights and reporting, and contribute to AI-enabled remediation initiatives. Your role also translates enterprise data management, responsible AI governance and risk priorities into practical delivery approaches that deliver business outcomes, improve control effectiveness, data usability and AI readiness.
p>Our ambition goes further: o9 is pursuing a neurosymbolic AI architecture-combining the reasoning power of large language models with the formal rigor of symbolic computation and constraint-based planning. Neurosymbolic Aptitude: Deep, hands-on familiarity with both large language models (generative AI, embeddings, vector databases) and traditional, structured, constraint-based symbolic computation.
Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
Required: One of the following: 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects. Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services.
p>As a Cloud Security Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for: - Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection.
- Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA).
p>Reporting to the Global Head of Infrastructure/AI Operations and Service Delivery, this leader will establish operational baselines across the full infrastructure stack - hardware, network fabric, GPU clusters, storage, and the operating systems and orchestration layers above - and build the Site Reliability Engineering practice that delivers the availability, reliability, and performance that frontier AI workloads demand. The ideal candidate will bring the following experience, knowledge, and abilities: - 10+ years of engineering leadership experience, with substantial time directly owning physical infrastructure at data center scale - including hardware lifecycle, capacity planning, and facility coordination (power, cooling, rack-and-stack execution).
p>Required: One of the following:
10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects.
- Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services.
p>As a Cloud Security Senior Consultant - Azure Infrastructure & AI on the Cloud Cyber Risk team, you will be responsible for: - Supporting delivery of Azure cloud cyber risk engagements across governance, identity, application security, platform as a service security, infrastructure security, AI security, security monitoring, resilience, and data protection.
- Cybersecurity certification such as Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), Certified Information Systems Security Professional (CISSP), Cisco Certified Network Professional (CCNP), or Cisco Certified Network Associate (CCNA).
li>Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
li>Deep understanding of GPU architecture (memory hierarchy, tensor cores, NVLink), GPU resource management (cloud & on‑prem), 5+ years in performance optimization/parallel computing/low‑level systems, and deep expertise in C++ with GPGPU frameworks (CUDA preferred; HIP/OpenCL/Metal acceptable). Proficiency with LLMs including prompt engineering, function calling/tool use, CoT reasoning; fine‑tuning using PEFT techniques (LoRA, QLoRA); and optimizing inference engines (vLLM, TensorRT‑LLM).
First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements. This individual will work closely with operational leadership, sales, public relations, product, and marketing to support AI readiness, user adoption strategies, communication plans, governance coordination, and organizational change management activities.
Currently, we are seeking a Staff Software Engineer - Search / AI who as a Senior technical leader, be responsible for driving architecture, design, and delivery of scalable, cloud-native platforms built on microservices architecture and AI capabilities. CVS Health is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers' lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world.
p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
In Micron's Automotive Embedded Business Unit, we work at the intersection of systems architecture, advanced memory technologies, and real-world workloads to enable safer, smarter, and more capable edge platforms. You will work closely with internal engineering teams and external partners to translate real application needs into differentiated products and long-term strategies, with a strong focus on AI inference at the edge.
li>Hands-on experience with several of the following: • Microsoft 365 administration (tenant configuration, service management, change management) • Microsoft Copilot enablement (readiness, rollout planning, permissions/data access implications) • Microsoft Entra (identity, conditional access, authentication policies, app integrations) • Microsoft Purview (sensitivity labels, DLP, retention, eDiscovery/compliance operations) • Microsoft Defender (identity, endpoint, cloud apps) • Intune / endpoint management (policy, client readiness, secure configuration) • Information protection and governance (classification, access control, auditability). Partner with Security, Privacy, Legal, and Data Governance teams to implement AI governance‑aligned controls and operationalize responsible AI usage through guardrails, monitoring, auditability, sensitivity labeling, DLP, retention, and eDiscovery readiness.
Through the seamless integration of advanced AI-enabled analytics and automation, you will elevate capacity management-enhancing forecast precision, accelerating decision-making, and optimizing utilization to support a successful ramp and sustained operations. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.