163 Results for Artificial Intelligence Ai Engineer Jobs

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DevOps Engineer

Rutland, VT
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a DevOps Engineer to support scalable cloud operations and strengthen automated software delivery for a construction-focused organization based in Rutland, Vermont. This Long-term Contract position is ideal for someone who enjoys improving deployment processes, enhancing platform reliability, and partnering with technical teams in a remote work environment. The role centers on building efficient infrastructure automation, advancing CI/CD practices, and helping maintain secure, high-performing production systems. Responsibilities: • Develop and enhance automated delivery workflows using Azure DevOps, ensuring releases move through environments efficiently and reliably. • Create and manage infrastructure provisioning with Terraform and related automation practices to support consistent cloud environments. • Embed testing, validation, and quality controls into deployment pipelines to reduce risk and improve release confidence. • Monitor application and platform health through logging, alerting, and observability tools, then act on issues to maintain uptime and performance. • Investigate incidents in production, identify underlying causes, and implement corrective actions that improve long-term stability. • Partner with development, infrastructure, and security stakeholders to coordinate deployments and align cloud operations with business needs. • Apply Infrastructure as Code standards, maintain supporting documentation, and promote repeatable operational practices across environments. • Support secure cloud operations by incorporating established security controls and assisting with compliance-related requirements.
2026-10-14T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-09-23T00:00:00Z

Software Engineering Instructor (Ruby, Python, Django)

Monroe, NY
onsite
Permanent / Full Time
65000 - 80000 USD / Yearly
We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises. The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner. Key Responsibilities<ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly AWS.</li><li>Help learners understand and apply modern AI technologies, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul>
2026-10-08T00:00:00Z

DevOps/Cloud Engineer

Pittsburgh, PA
onsite
Temporary / Contract
90000 - 200000 USD / Yearly
We are looking for Cloud and DevOps professionals interested in exploring new opportunities with organizations modernizing their infrastructure, cloud environments, and software delivery capabilities. Location: Pittsburgh, PA (Hybrid Onsite Opportunities Available)Compensation: $100,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Cloud Engineer</li><li>Cloud Architect</li><li>DevOps Engineer</li><li>Site Reliability Engineer (SRE)</li><li>Platform Engineer</li><li>Infrastructure Engineer</li><li>Systems Engineer</li><li>Cloud Operations Manager</li><li>Solutions Architect</li></ul>Responsibilities:<ul><li>Design, implement, and support cloud infrastructure</li><li>Automate deployments and infrastructure provisioning</li><li>Develop and maintain CI/CD pipelines</li><li>Improve reliability, scalability, and system performance</li><li>Monitor and respond to infrastructure issues</li><li>Implement security and compliance best practices</li><li>Collaborate with development and operations teams to streamline delivery processes</li></ul>
2026-10-14T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

Senior Data Engineer (Databricks)

Morristown, NJ
remote
Permanent / Full Time
120000 - 145000 USD / Yearly
A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling RESPONSIBILITIES Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. Build & Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader. Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs. Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. Partner & Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.
2026-10-13T00:00:00Z

Transition Engineer

Eastaboga, AL
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Transition Engineer to lead critical integration and platform transition efforts for a Long-term Contract assignment based in Eastaboga, Alabama. This role focuses on ensuring reliable connectivity between external providers, enterprise transportation systems, and internal dispatch tools while supporting operational continuity. The ideal candidate will bring strong systems integration experience, sound change control practices, and the ability to translate business process needs into stable technical solutions. Responsibilities: • Lead the company-side readiness for provider cutover activities, including network routing, certificate setup, and end-to-end connection validation. • Track transaction flow from the external provider through the McLeod platform and into the internal dispatch environment to confirm data integrity across systems. • Adjust the dispatch application only where necessary so it can accept and process the incoming feed with minimal disruption to operations. • Plan and execute rollback rehearsals and full-cycle testing, including month-end validation, to confirm production readiness before final transition. • Partner with the designated McLeod specialist to coordinate integration behavior, align mapping dependencies, and resolve handoff issues efficiently. • Decommission legacy integrations by confirming inactivity, retiring obsolete interfaces, and documenting shutdown steps for affected systems. • Evaluate an external customer portal and provide a clear recommendation on whether it should be retired, modernized, or replaced. • Support the move of dispatch decisioning into the McLeod planning board by converting documented business rules into actionable system configuration requirements. • Maintain operational ownership of Linux-based servers and related applications, ensuring stability, controlled changes, and complete technical documentation throughout the engagement.
2026-10-14T00:00:00Z

Tool & Die Engineer

Des Moines, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Tool & Die Engineer - Manufacturing Location: Greater Des Moines area Salary: $80,000 - $100,000 *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Tool & Die Engineer Join a stable manufacturer that continues to invest in its people, products, and U.S. operations. This is an opportunity to work in a modern, climate-controlled facility where you'll design and improve tooling that directly impacts quality, efficiency, and production success. What You'll Do • Design and develop press tooling, dies, fixtures, and manufacturing solutions • Improve manufacturing processes and tooling performance • Review engineering drawings and blueprints • Support spare parts planning and documentation • Troubleshoot production issues and drive continuous improvement • Provide technical leadership and coaching to team members • Ensure product quality and compliance standards are met What We're Looking For • 5+ years of Tool & Die Engineering experience • Associate degree in Tool & Die Technology, Mechanical Engineering, or related field • CAD experience (SolidWorks preferred; AutoCAD, Mastercam, and KeyCreator a plus) • Strong blueprint reading, troubleshooting, and problem-solving skills • Leadership experience preferred Why Join? • $80,000 - $100,000 base salary • First shift: 7:00 AM – 3:00 PM • Financially sound company with exceptional stability • No history of layoffs • Climate-controlled facility • Growing business with new products and facility expansion • Opportunities for long-term career growth If you're an engineering-minded professional who enjoys solving complex manufacturing challenges and wants to make a tangible impact, we'd love to have a confidential conversation. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

GCP DevOps Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, deploy, and maintain cloud infrastructure within GCP using Terraform.</li><li>Develop and manage Infrastructure as Code (IaC) frameworks, modules, and deployment standards.</li><li>Build and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Cloud Build.</li><li>Administer and support containerized environments using Kubernetes (GKE) and Docker.</li><li>Implement cloud networking, IAM, security controls, monitoring, and governance best practices.</li><li>Automate operational processes, system provisioning, and environment management.</li><li>Collaborate with software engineers, data engineers, and AI teams to support cloud-native application deployments.</li><li>Support AI/ML infrastructure including Vertex AI, model deployment pipelines, vector databases, and related cloud services.</li><li>Monitor platform performance, reliability, availability, and cost optimization.</li><li>Troubleshoot infrastructure, deployment, networking, and application performance issues.</li></ul>
2026-10-19T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

SCADA Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a SCADA Engineer to lead the engineering, performance, and long-term reliability of real-time control systems that support distributed energy and microgrid operations in Houston, Texas. This position blends hands-on technical execution with system-level ownership, giving you the opportunity to shape scalable architectures, strengthen operational visibility, and support critical grid-connected assets. The ideal candidate brings deep experience with SCADA platforms, field integrations, and utility telemetry, along with the ability to guide standards and technical decisions across a growing fleet. Responsibilities: • Lead the design and ongoing improvement of SCADA architecture for distributed generation and microgrid assets, ensuring the environment can support expansion without sacrificing reliability. • Manage the configuration, administration, and optimization of real-time operational systems in partnership with operations, IT, and engineering teams to improve system performance and data accessibility. • Act as the senior technical resource for SCADA platforms and connected control environments, providing design direction, resolving escalated issues, and helping set engineering priorities. • Define and maintain standards for telemetry mapping, tag hierarchy, alarm strategy, and data quality to promote consistency across sites and systems. • Support around-the-clock control center operations by helping maintain stable system availability and responding to complex technical issues affecting monitoring or control functions. • Direct utility and market integrations by designing secure data exchanges and telemetry frameworks that align with grid participation and compliance needs. • Oversee the engineering and commissioning of new site connections, including review of control drawings, point structures, HMI layouts, historian configuration, and controller programming. • Partner with infrastructure and operations teams to strengthen cybersecurity, harden system connectivity, and maintain readiness for high-impact grid events. • Drive automation, tooling, database improvements, and governed deployment practices, including support for upgrades and technology changes within the SCADA environment.
2026-10-05T00:00:00Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-09-24T00:00:00Z

M365 Solutions Engineer

Buda, TX
onsite
Temporary / Contract
70 - 85 USD / Hourly
M365 Solutions EngineerOnsite | Buda, TX | Contract Robert Half is hiring a Microsoft 365 Solutions Engineer to lead collaboration platform optimization and integration efforts during a major business transformation initiative. This role will focus on modern workplace technologies, tenant consolidation, governance, and user collaboration solutions. Responsibilities: <ul><li>Assess and document Microsoft 365 collaboration environments.</li><li>Lead migration, consolidation, and integration activities across Microsoft 365 platforms.</li><li>Design and support Teams, SharePoint Online, OneDrive, Exchange Online, and related services.</li><li>Establish governance, security, and collaboration best practices.</li><li>Support user adoption and platform modernization initiatives.</li><li>Create technical documentation and future-state architecture recommendations.</li></ul>
2026-10-01T00:00:00Z

163 results for Artificial Intelligence Ai Engineer jobs