<p><strong>Identity & Access Management (IAM) Architect</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>An organization is seeking an IAM Architect to support enterprise identity and access management initiatives across a diverse technology environment. This role offers the opportunity to provide technical leadership while contributing to the design, implementation, and evolution of secure authentication and access management solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The IAM Architect will lead the design and development of identity and access management solutions that support organizational security, operational efficiency, and business objectives. This individual will work closely with technology and security teams to establish scalable identity frameworks, improve access controls, and support enterprise-wide security initiatives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and maintain identity and access management architectures that support business and security requirements.</li><li>Provide technical leadership and architectural guidance for identity-related projects and initiatives.</li><li>Collaborate with technology teams to implement secure authentication, authorization, and access management solutions.</li><li>Support the design and management of identity lifecycle processes, access controls, and governance practices.</li><li>Evaluate and enhance security controls related to user access, privileged access, and identity management.</li><li>Develop standards, guidelines, and best practices for identity and access management technologies.</li><li>Partner with stakeholders to identify risks and recommend practical security improvements.</li><li>Support integration efforts across enterprise applications, cloud services, and technology platforms.</li><li>Assist with process automation, operational efficiencies, and continuous improvement initiatives.</li><li>Participate in architecture reviews, technology evaluations, and strategic planning activities.</li></ul>
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures.<br><br>Responsibilities:<br>• Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform.<br>• Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion.<br>• Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability.<br>• Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance.<br>• Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements.<br>• Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory.<br>• Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements.<br>• Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions.<br>• Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space.<br>• Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
<p>We are looking for an experienced AI Infrastructure Project Manager to oversee the delivery of a sophisticated data center project in Southern California. This role guides the work from early planning through commissioning and operational readiness, partnering with contractors, engineers, suppliers, and internal infrastructure teams. The ideal candidate brings strong on-site leadership, technical fluency across mission-critical systems, and the ability to keep complex workstreams aligned in a fast-moving environment.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage a master project timeline that ties together permitting, construction activity, equipment procurement, installation milestones, testing, and final handoff.</p><p>• Monitor schedule performance, identify risks to key milestones, and drive corrective actions when progress slips.</p><p>• Lead daily coordination across builders, design partners, vendors, and internal teams to keep execution aligned with project goals.</p><p>• Oversee technical documentation workflows, including design reviews, RFIs, submittals, revisions, and approval tracking through completion.</p><p>• Follow the status of major electrical, mechanical, and technology equipment orders to prevent procurement delays from affecting site progress.</p><p>• Work with utility providers, permitting agencies, and specialty consultants to secure required approvals and maintain project momentum.</p><p>• Align facility and technology stakeholders on infrastructure and equipment needs early enough to support design development and field installation.</p><p>• Maintain organized records of decisions, project risks, ownership assignments, action items, and target dates.</p><p>• Conduct regular site reviews to confirm work quality and progress, then resolve field issues with the appropriate partners.</p><p>• Coordinate commissioning, acceptance testing, turnover documentation, and the transition of the facility into operational use.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p>A global professional services organization is seeking an AI Training & Enablement Consultant to serve as a dedicated AI Subject Matter Expert and lead AI education, adoption, and enablement initiatives across the organization.</p><p>This individual will partner closely with the existing training team to help employees effectively adopt and utilize enterprise AI tools, including Harvey, Claude, OpenAI/ChatGPT, Grok, and other emerging AI platforms.</p><p>The ideal candidate combines deep, hands-on AI knowledge with strong training, presentation, and customer service skills. This person should be comfortable leading AI conversations with everyone from everyday end users to executives and senior leadership, translating complex AI concepts into practical, easy-to-understand guidance.</p><p><br></p><p>Key Responsibilities</p><ul><li>Serve as the organization's AI Subject Matter Expert, providing practical guidance on AI tools, capabilities, workflows, and best practices.</li><li>Lead AI training and enablement initiatives across the organization.</li><li>Develop, maintain, and continuously improve AI training materials, user guides, presentations, and learning content.</li><li>Create and deliver engaging instructor-led training sessions for users with varying levels of AI experience.</li><li>Support the rollout and ongoing adoption of Harvey and other enterprise AI platforms.</li><li>Train employees on effective prompting, prompt development, responsible AI usage, governance, and AI best practices.</li><li>Educate users on token management and optimization, platform capabilities, and effective AI utilization.</li><li>Provide guidance and education around tools including Harvey, Claude, OpenAI/ChatGPT, Grok, and related technologies.</li><li>Support executive, partner-level, and other high-profile end users in a white-glove environment.</li><li>Partner with the training team to incorporate AI learning content into the organization's Learning Management System (LMS).</li><li>Help establish strategies and recommendations that drive AI adoption and effective usage throughout the organization.</li><li>Stay current on emerging AI platforms, features, trends, and best practices and translate those developments into practical recommendations for users.</li><li>Act as a trusted AI resource who can confidently answer questions and establish credibility with both technical and non-technical audiences.</li></ul>
<p>We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity in Southern California. This onsite role requires a highly experienced data engineering specialist who can build resilient, scalable data platforms and support enterprise analytics through well-architected cloud solutions. The ideal candidate will bring deep expertise in AWS-based data ecosystems, modern ETL development, and data warehousing, while maintaining a strong focus on quality, security, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Build and support cloud-based data pipelines that move and transform large volumes of data using AWS services such as S3, Glue, Athena, Redshift, Spectrum, Lambda, and MWAA/Airflow.</p><p>• Create scalable ETL and ELT workflows with Python, PySpark, Apache Spark, or Scala to deliver reliable datasets for reporting, analytics, and operational use.</p><p>• Strengthen data quality by implementing validation rules, exception handling, monitoring, and cleansing processes across integration pipelines.</p><p>• Improve platform efficiency by tuning queries, refining workflow design, and addressing processing bottlenecks to meet performance targets and cost expectations.</p><p>• Partner with analysts, technical teams, and business stakeholders to convert data needs into technical designs and production-ready engineering solutions.</p><p>• Maintain dependable data availability for business intelligence initiatives by ensuring pipelines are stable, timely, and aligned with service-level requirements.</p><p>• Produce and update technical documentation while supporting adherence to data governance, security controls, and regulatory expectations.</p><p>• Contribute to secure data lake operations through access management, policy enforcement, and governance practices within AWS Lake Formation and related cloud services.</p>