<p>For our client, we are seeking an AI Consultant to help design, develop, and implement artificial intelligence solutions that improve operational efficiency, automate business processes, and support data-driven decision-making. This individual will work closely with technical teams and business leaders to identify AI opportunities and deliver scalable solutions using modern AI technologies.</p>
We are looking for an AI Consultant to join a contract opportunity in New Jersey. This role is ideal for a technically strong educator and advisor who can translate advanced AI concepts into practical learning experiences for engineers, professionals, and business teams. The position combines hands-on instruction, curriculum development, and learner coaching while keeping training programs aligned with current industry applications and emerging digital technologies.<br><br>Responsibilities:<br>• Lead live training sessions covering artificial intelligence, machine learning, generative AI, data science, cloud technologies, cybersecurity, and related technical domains.<br>• Build and facilitate practical labs, workshops, and applied exercises that help learners use modern tools and frameworks in realistic scenarios.<br>• Guide participants through assignments, projects, and capstone work by offering technical mentorship, feedback, and problem-solving support.<br>• Develop and refine instructional materials, lab content, assessments, and program modules to keep learning paths current and effective.<br>• Tailor delivery methods to suit different audience backgrounds, experience levels, and business needs.<br>• Incorporate relevant industry examples, use cases, and market-informed perspectives into training sessions to strengthen real-world application.<br>• Monitor learner performance, review submissions, and provide structured evaluations that support strong completion rates and measurable outcomes.<br>• Partner with internal stakeholders to shape learning programs that reflect evolving client expectations and technology trends.
We are looking for an AI Consultant to join a high-performing team supporting innovation within a pharmaceutical-focused third-party logistics environment in Coppell, Texas. This Long-term Contract position will focus on shaping practical AI solutions that improve how users interact with documents, data, and business workflows. The role combines hands-on prompt design, user enablement, and governance oversight to ensure AI tools are effective, reliable, and aligned with operational needs.<br><br>Responsibilities:<br>• Build and manage a centralized prompt catalog that supports recurring business scenarios such as content summarization, question answering, information extraction, code-related assistance, and document review.<br>• Develop and refine prompting approaches using structured instruction design, example-driven guidance, contextual framing, and other advanced techniques to improve output quality.<br>• Create AI-enabled workflows that connect business data, operational records, document repositories, and related enterprise sources for practical internal use cases.<br>• Support the rollout and ongoing enhancement of AI applications, including knowledge assistants, conversational tools, and workflow optimization solutions across the organization.<br>• Run controlled testing on prompt variations, measure response quality, and document findings to guide continuous improvement efforts.<br>• Advise users on effective ways to work with AI tools when referencing local files such as PDFs, spreadsheets, word processing documents, and code assets.<br>• Design reusable prompt frameworks that perform consistently with large documents, multiple file inputs, and structured datasets.<br>• Evaluate prompts and file-based AI workflows for safety, bias, misuse exposure, and governance risks before production release.
We are looking for an AI Consultant to support advanced analytics and machine learning initiatives for a Hi Tech Engineering organization in Des Moines, Iowa. This Long-term Contract position will partner closely with business and technical stakeholders to turn complex questions into practical, data-driven solutions while strengthening internal AI and analytics capabilities. The ideal candidate brings strong Python-based analytical expertise and can clearly recommend the most effective modeling, forecasting, or statistical approach for each use case.<br><br>Responsibilities:<br>• Partner with stakeholders to define business objectives and convert them into actionable AI, machine learning, and advanced analytics plans.<br>• Build, review, and refine Python-based analysis using appropriate methods for data preparation, modeling, statistical evaluation, and insight generation.<br>• Examine large and complex datasets to uncover anomalies, trends, outliers, and other meaningful patterns that inform decision-making.<br>• Assess existing analytical and machine learning models, recommend suitable algorithms, and outline practical next steps for improvement.<br>• Evaluate anomaly detection methods and suggest alternative techniques when current approaches do not align with the data or business need.<br>• Advise on forecasting and predictive modeling strategies by selecting methodologies that best fit available data and intended outcomes.<br>• Validate data quality and determine whether datasets are suitable for machine learning, predictive analytics, or traditional analytical methods.<br>• Work alongside the internal data analyst to troubleshoot analytical work, expand team knowledge, and strengthen overall AI and ML capabilities.<br>• Communicate technical findings and methodological recommendations clearly to both technical audiences and non-technical stakeholders, including client-facing discussions.
We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey. This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value. The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business.<br><br>Responsibilities:<br>• Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development.<br>• Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights.<br>• Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery.<br>• Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements.<br>• Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization.<br>• Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting.<br>• Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks.<br>• Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives.<br>• Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions.<br>• Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.
<p>We are looking for an experienced AI Business Analyst/Consultant to support a growing portfolio of artificial intelligence initiatives. This position offers the opportunity to work closely with business and technical teams to turn high-value ideas into practical AI solutions using Microsoft-based tools and platforms. The role is well suited for someone who can bridge business needs and technical delivery while helping bring scalable, production-ready solutions to life.</p><p><br></p><p>Responsibilities:</p><p>• Engage with business partners to uncover operational needs, clarify objectives, and define solution requirements for AI-focused initiatives.</p><p>• Convert business challenges into practical concepts, prototypes, and implementation plans that align with organizational goals.</p><p>• Create, test, and launch AI-enabled tools, automated workflows, prompts, and agent-based solutions in a Microsoft-centered environment.</p><p>• Use Microsoft Copilot capabilities and related technologies to deliver solutions that improve efficiency and support day-to-day business processes.</p><p>• Work alongside internal AI specialists and cross-functional teams to strengthen designs, prepare solutions for production, and coordinate successful releases.</p><p>• Guide end users through adoption by providing training, usage support, and clear communication around new tools and processes.</p><p>• Manage assigned work with a high degree of independence, moving initiatives from early discovery through deployment and follow-up.</p><p>• Contribute to the evaluation and prioritization of a large pipeline of AI opportunities to help advance multiple initiatives each quarter.</p>
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation.<br><br>Responsibilities:<br>• Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback.<br>• Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments.<br>• Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products.<br>• Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation.<br>• Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness.<br>• Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions.<br>• Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness.<br>• Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team.<br>• Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
<p>We are seeking an experienced <strong>AI Engineer</strong> with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.</p>
<p>We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services.</li><li>Build and optimize prompts, RAG pipelines, and AI workflows.</li><li>Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.</li><li>Develop APIs and microservices that support AI solutions.</li><li>Collaborate with data engineers and software developers to deploy AI models into production.</li><li>Monitor model performance and improve accuracy, reliability, and scalability.</li><li>Implement AI security, governance, and responsible AI practices.</li><li>Document technical designs and best practices.</li></ul><p><br></p>
<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</p>
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments.</p><p>This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong.</p><p><br></p><p>Responsibilities:</p><p>· <strong>Build department workspaces end to end.</strong> Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).</p><p>· <strong>Work on regulated workflows.</strong> Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.</p><p>· <strong>Replace CollectOne, one department at a time.</strong> Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.</p><p>· <strong>Write database migrations safely.</strong> Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.</p><p>· <strong>Wire integrations.</strong> Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.</p><p>· <strong>Drive AI agents well.</strong> Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.</p><p>· <strong>Keep CI honest.</strong> Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.</p><p>· <strong>Sit with users.</strong> Turn a messy request from a supervisor into a clear spec, then show them the working screen.</p>
<p>We are seeking an experienced <strong>Network Architect</strong> to design, optimize, and future-proof our enterprise network environment with a strong focus on scalability, security, performance, and readiness for emerging <strong>AI-driven technologies</strong>. This role requires deep expertise in <strong>Cisco architecture</strong>, advanced routing and switching, and modern network design principles to support a growing and evolving business. Based on general knowledge.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and lead enterprise network architecture across LAN, WAN, wireless, data center, and cloud-connected environments. Based on general knowledge.</li><li>Develop network strategies that support <strong>AI futureproofing</strong>, including scalable bandwidth, low-latency design, resilient connectivity, and infrastructure readiness for automation and data-intensive workloads. Based on general knowledge.</li><li>Lead architecture standards, roadmaps, and modernization initiatives across core networking platforms. Based on general knowledge.</li><li>Serve as the subject matter expert for <strong>Cisco-based environments</strong>, including routing, switching, security, SD-WAN, and wireless technologies. Based on general knowledge.</li><li>Evaluate current network performance, identify gaps, and recommend improvements for capacity, resilience, and operational efficiency. Based on general knowledge.</li><li>Partner with infrastructure, security, cloud, and application teams to ensure integrated and secure network solutions. Based on general knowledge.</li><li>Design high-availability and disaster recovery network solutions to support business continuity. Based on general knowledge.</li><li>Guide implementation teams on best practices, configuration standards, and troubleshooting for complex network initiatives. Based on general knowledge.</li><li>Maintain architecture documentation, diagrams, standards, and technical recommendations for leadership and engineering teams. Based on general knowledge.</li><li>Assess new technologies and vendor solutions that align with long-term network and business strategy. Based on general knowledge.</li></ul><p><strong>Required Qualifications</strong></p><ul><li>7+ years of progressive network engineering and architecture experience, including enterprise-level design responsibility. Based on general knowledge.</li><li>Deep hands-on experience with <strong>Cisco networking technologies</strong> in complex enterprise environments. Based on general knowledge.</li><li>Strong expertise in routing, switching, BGP, OSPF, VLANs, QoS, VPNs, firewalls, wireless, and network segmentation. Based on general knowledge.</li><li>Experience designing highly available, secure, and scalable networks across on-premises and cloud-connected environments. Based on general knowledge.</li><li>Knowledge of network architecture considerations for <strong>AI, automation, and future-state digital transformation initiatives</strong>. Based on general knowledge.</li><li>Strong understanding of network security principles, access controls, and performance optimization. Based on general knowledge.</li><li>Proven ability to create architectural standards, lead network modernization, and support enterprise growth. Based on general knowledge.</li><li>Excellent communication skills with the ability to present technical strategy to both technical and non-technical stakeholders. Based on general knowledge.</li></ul>
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity<br>Location: Hybrid - Des Moines, IA<br>Salary: $80,000 - 100,000 base annual salary plus exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>AI / Machine Learning Engineer<br>Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges?<br>We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.<br>In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.<br>What You'll Do<br> • Develop and improve machine learning and predictive analytics models<br> • Analyze complex data using Python and SQL<br> • Support anomaly detection, forecasting, and advanced analytics initiatives<br> • Evaluate model performance and recommend improvements<br> • Collaborate with analysts, stakeholders, and leadership to solve business problems<br> • Help shape AI/ML tools, methodologies, and best practices<br>What We're Looking For<br> • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience<br> • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn<br> • Experience with statistical modeling, predictive analytics, and machine learning<br> • Strong SQL and data analysis skills<br> • Ability to explain technical concepts to both technical and non-technical audiences<br> • Collaborative, self-directed, and entrepreneurial mindset<br>Why Join?<br> • Make a visible impact in a growing AI/ML practice<br> • Work directly with decision-makers and leadership<br> • Collaborative, team-oriented culture with exceptional employee tenure<br> • Hybrid work environment<br> • Opportunity to influence strategy, architecture, and future AI initiatives<br> • Competitive compensation and benefits<br><br>This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment.<br><br>*** 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. ***
We are looking for an ACH Specialist to support daily deposit operations and ensure transaction processing is completed accurately and on schedule. This position plays an important role in maintaining compliance with banking regulations, reconciling key accounts, and assisting with a range of operational banking activities. Based in Memphis, Tennessee, this role also partners with internal teams to provide dependable service and help keep deposit-related processes running smoothly.<br><br>Responsibilities:<br>• Manage ACH origination activity and review transactions for adherence to applicable banking rules and internal controls.<br>• Reconcile daily cash letters, bank cash, and other operational balances to confirm accuracy and resolve discrepancies promptly.<br>• Process collection items, overdrafts, stop payments, returns, adjustments, and chargebacks in accordance with established procedures.<br>• Support deposit account operations by handling special item requests, monitoring maintenance reports, and assisting with account-related processing needs.<br>• Oversee online banking, mobile banking, and debit card activity by researching issues and providing timely internal or customer support.<br>• Complete recurring daily and monthly reconciliations, settle bank funds, and assist with year-end operational and compliance tasks.<br>• Monitor document retention and deposit compliance requirements, including regulatory notices, dormant account review, and large-dollar item tracking.<br>• Process legal and regulatory items such as garnishments and Regulation D correspondence while coordinating with compliance or leadership as needed.<br>• Provide operational support to bank operations and branch administration teams and take on additional duties assigned by management.
<p>Seeking a detail-oriented IRA Associate to support the administration of self-directed retirement accounts and provide excellent client service. Responsibilities include opening and closing accounts, processing transactions and distributions, maintaining accurate account records, preparing client documentation, assisting with IRS reporting and compliance deadlines, and supporting billing and accounts receivable. The ideal candidate will have strong organizational, communication, and analytical skills, excellent follow-up abilities, basic computer proficiency, and the ability to manage multiple priorities while working independently and collaboratively with clients, financial institutions, and other professionals.</p>
<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>
<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>
We are looking for an experienced IT Consultant II to guide disaster recovery initiatives for critical business applications in Providence, Rhode Island. This Long-term Contract position will focus on planning, coordination, and execution across recovery onboarding, strategy development, testing, and issue resolution for Tier 0-3 applications. The role is fully remote, with a preference for candidates located near a company office, and requires strong communication skills to work effectively with technical teams and leadership. Success in this position will come from balancing hands-on recovery planning expertise with clear reporting, stakeholder alignment, and cross-functional coordination.<br><br>Responsibilities:<br>• Facilitate disaster recovery reviews with application stakeholders to define recovery approaches, business impact considerations, and support needs across critical systems.<br>• Create, refine, and validate recovery documentation, including operational runbooks, test materials, formal plans, and post-test summary reports.<br>• Organize recurring disaster recovery exercises, failover events, and preparedness reviews to confirm application and team readiness.<br>• Evaluate application interdependencies, recovery time objectives, recovery point objectives, and supporting infrastructure requirements to strengthen recovery strategies.<br>• Lead follow-up efforts to address identified gaps, assign action items, and monitor remediation progress through completion.<br>• Contribute to ServiceNow-related implementation activities and support operational workflows tied to disaster recovery governance.<br>• Prepare dashboards, status summaries, and executive-facing updates that communicate progress, risks, and key performance metrics.<br>• Partner with infrastructure, cloud, cybersecurity, and enterprise application teams to align recovery planning with broader technology and governance standards.
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.
Designs, develops, tests, deploys, and maintains code supporting Damar’s AI product stack, including data pipelines, model integrations, APIs, application logic, and other supporting systems<br>• Monitors and improves the reliability, performance, scalability, and maintainability of AI-enabled applications and supporting infrastructure<br>• Identifies, troubleshoots, and resolves bugs, system issues, and technical debt, including improving or refactoring code and systems inherited from previous development work<br>• Independently prototypes, develops, tests, and ships new AI product features and enhancements based on organizational and user needs<br>• Evaluates technical approaches and makes practical engineering decisions that balance product needs, maintainability, scalability, security, and speed of delivery<br>• Serves as an internal technical resource and point of contact for AI products, systems, integrations, and related development work<br>• Partners with external technology vendors and translates technical discussions, requirements, limitations, and recommendations into clear information for non-technical leaders and staff<br>• Collaborates with internal stakeholders to translate business needs and workflow challenges into technical requirements and product solutions<br>• Creates and maintains clear technical documentation for code, architecture, integrations, configurations, processes, and key technical decisions to ensure institutional knowledge remains within the organization<br>• Contributes to the technical roadmap for AI products by identifying priorities, technical dependencies, system improvements, risks, and future development opportunities
<p>We are looking for an AR Specialist to support an organization in New Berlin, Wisconsin. This position is ideal for someone who is highly organized, detail-oriented, and comfortable managing accounts receivable activities in a fast-paced environment. The role will focus on maintaining accurate financial information, applying incoming payments, and following up with customers to keep accounts current.</p><p><br></p><p>Responsibilities:</p><p>• Maintain accurate accounts receivable records and ensure customer account activity is documented correctly.</p><p>• Apply incoming payments to the appropriate invoices and reconcile posted transactions with supporting records.</p><p>• Monitor outstanding balances and communicate with business clients regarding overdue accounts and payment status.</p><p>• Review account details regularly to identify discrepancies and help resolve billing or payment issues promptly.</p><p>• Collaborate with internal teams to support smooth cash application and account maintenance processes.</p><p>• Prepare receivable-related reports and provide updates on collection activity and account trends.</p>