We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.<br><br>Responsibilities:<br>• Analyze large client datasets to perform Matchback reporting using Excel and internal tools.<br>• Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights.<br>• Present analytical findings and recommendations directly to clients, showcasing strong communication skills.<br>• Collaborate with team members and executives to ensure alignment on data-driven strategies.<br>• Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed.<br>• Maintain and optimize reporting processes to ensure accuracy and efficiency.<br>• Utilize Python and SQL to support data analysis and visualization tasks.<br>• Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting.<br>• Provide timely updates and insights to stakeholders, contributing to strategic decision-making.
Principal Data Scientist – Data & AI (Hybrid)<br><br>Global Technology Organization<br><br>We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.<br><br>In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.<br><br>What You’ll Work On<br><br>Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.<br><br>Lead the design and optimization of scalable data pipelines to support production-grade ML systems.<br><br>Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.<br><br>Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.<br><br>Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.<br><br>Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.<br><br>Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.<br><br>Preferred Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).<br><br>10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.<br><br>Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.<br><br>Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.<br><br>Proven experience deploying models in cloud-based or distributed environments.<br><br>Who Thrives Here<br><br>Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.<br><br>Strong analytical thinkers with exceptional communication skills.<br><br>Collaborative professionals who enjoy working across engineering, product, and data teams.<br><br>Individuals who embrace continuous learning and stay ahead of modern ML trends.
<p>We are looking for a highly skilled Data Scientist to join our Enterprise Data and Analytics team on a long-term contract basis. In this role, you will apply advanced machine learning techniques and statistical analysis to large datasets, helping us better understand our customers and communities. The ideal candidate will have a passion for transforming data into actionable insights that support strategic decision-making and business growth.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced analytics models to derive value from large-scale datasets.</p><p>• Conduct experiments and develop predictive models to address complex business challenges.</p><p>• Research and apply cutting-edge machine learning, deep learning, and AI methodologies.</p><p>• Develop and refine algorithms for training and evolving machine learning models.</p><p>• Present data-driven insights and recommendations to influence product development and strategy.</p><p>• Promote best practices in analytics and data utilization across teams.</p><p>• Manage the end-to-end model development process, including requirement gathering, data sourcing, model building, result presentation, and production implementation.</p><p>• Collaborate with cross-functional teams to drive data science initiatives and improve analytical capabilities.</p><p>• Ensure the organization’s data infrastructure supports robust analytics and reporting.</p><p>• Stay updated on emerging technologies and trends in data science and machine learning.</p>
<p>As a Data Scientist, you will analyze complex datasets to extract actionable insights and build data-driven solutions. You will work closely with cross-functional teams to design predictive models, create data visualizations, and develop algorithms that support business objectives.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze large, structured, and unstructured datasets to identify patterns and trends.</li><li>Design, develop, and implement machine learning models and statistical algorithms.</li><li>Conduct exploratory data analysis (EDA) to support decision-making.</li><li>Collaborate with engineering and business teams to translate business needs into data-driven solutions.</li><li>Create and deploy predictive and prescriptive analytics solutions.</li><li>Build and maintain data pipelines and workflows to support data accessibility.</li><li>Develop visualizations, dashboards, and reports to communicate findings effectively.</li><li>Stay updated with the latest advancements in data science and integrate them into projects.</li></ul><p><br></p>
<p>We are seeking an innovative <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that drive business transformation. This role involves working with machine learning models, natural language processing, and automation technologies to solve complex problems and enhance operational efficiency. The ideal candidate is passionate about AI, has strong programming skills, and thrives in a collaborative environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement AI and machine learning models for business applications.</li><li>Develop algorithms for predictive analytics, NLP, and computer vision.</li><li>Collaborate with data scientists and engineers to integrate AI solutions into existing systems.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Conduct research on emerging AI technologies and recommend innovative solutions.</li><li>Ensure compliance with data privacy and security standards.</li><li>Document processes, models, and workflows for future reference.</li></ul><p><br></p><p><br></p><p><br></p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p><br></p>
We are looking for a skilled Generative AI Analyst/Prompt Engineer to join our team on a contract basis in New York, New York. In this role, you will leverage your expertise in data science and artificial intelligence to develop and optimize innovative solutions. This position is an excellent opportunity to work in the financial services industry while applying cutting-edge AI technologies to real-world challenges.<br><br>Responsibilities:<br>• Design, implement, and optimize AI-driven models and solutions tailored to business needs.<br>• Develop and maintain scalable data pipelines and workflows using tools like Apache Kafka, Spark, and Hadoop.<br>• Write and debug Python code, utilizing Jupyter Notebooks for effective data analysis and visualization.<br>• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.<br>• Research and experiment with state-of-the-art generative AI techniques to improve system performance.<br>• Build and manage APIs to facilitate seamless communication between applications and AI models.<br>• Utilize cloud-based technologies, including AWS, to deploy, scale, and monitor AI solutions.<br>• Visualize complex data insights through effective data visualization techniques and tools.<br>• Implement algorithms that solve specific business problems in a robust and efficient manner.
<p><strong>Job Title:</strong> Data Analytics Specialist – SAP Data Governance & Quality</p><p> <strong>Service Type:</strong> Temporary, 44 Week Contract</p><p> <strong>Location:</strong> Remote (Must be located in EST or CST)</p><p><strong>Position Overview</strong></p><p>Are you passionate about data? Do you find joy in transforming raw information into meaningful insights? If so, we invite you to apply for the role of <strong>SAP Data Analytics Specialist</strong>. This position plays a key role in preparing for our migration to SAP S/4HANA by ensuring the integrity, accuracy, and optimization of data across SAP systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Profiling:</strong> Analyze SAP data for quality, consistency, and completeness. Identify patterns, anomalies, and areas for improvement.</li><li><strong>Data Quality Management:</strong> Develop and apply data quality rules, perform validation checks, and recommend corrective actions.</li><li><strong>Data Governance:</strong> Collaborate with stakeholders to uphold data governance standards and promote best practices.</li><li><strong>Data Migration & Integration:</strong> Support SAP data migration efforts, ensuring clean and structured data, and assist with data mapping and integration.</li><li><strong>Reporting & Analytics:</strong> Create and maintain dashboards and reports to monitor KPIs related to data quality and system performance.</li><li><strong>Cross-Functional Collaboration:</strong> Partner with SAP functional teams (e.g., MM, SD, FICO) to resolve data issues and implement data-driven solutions.</li><li><strong>Continuous Improvement:</strong> Contribute to process enhancements that improve data accuracy and system efficiency.</li><li><strong>Documentation & Training:</strong> Document methodologies and procedures; assist in developing training materials for data management processes.</li></ul><p><br></p><p><strong>What You Will Learn</strong></p><ul><li>How to transform raw data into high-quality, fit-for-purpose assets.</li><li>How to collaborate across departments to unlock the value of enterprise data.</li><li>The strategic role data plays in driving business decisions.</li><li>Best-in-class tools and techniques that will elevate your career.</li></ul><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Cloud AI Engineer (contract).</strong> In this role, you will lead the design, development, and implementation of enterprise AI solutions in cloud environments. <strong>This role is onsite 3 days per week in Austin, TX. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Supports strategic initiatives and technology projects with a focus on AI and cloud solutions.</li><li>Define, design, and administer highly scalable AI systems on cloud platforms such as AWS, Azure, and GCP.</li><li>Implement essential capabilities including model training, inference, reporting and seamless integration.</li><li>Participates in end-to-end delivery of AI solutions including systems analysis, coding, testing, deployment, and optimization.</li><li>Supports troubleshooting, risk management, technical standards SOPs, and documentation.</li></ul>
<p>We’re looking for an innovative AI Designer in North Carolina to help shape intuitive, human-centered experiences powered by artificial intelligence. This role bridges creative design thinking with emerging AI technologies, crafting tools, interfaces, and interactions that feel seamless, ethical, and intelligent.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design user experiences that integrate AI capabilities such as personalization, generative content, and automation.</li><li>Collaborate with product managers, engineers, and data scientists to define how AI enhances user journeys.</li><li>Create wireframes, prototypes, and interaction models that illustrate AI behavior, responses, and feedback loops.</li><li>Translate complex AI concepts into clear, usable design solutions.</li><li>Conduct user research and usability testing to ensure AI-driven features meet user needs and maintain trust.</li><li>Contribute to design systems and frameworks that account for AI interaction patterns.</li><li>Stay informed on emerging AI design best practices, ethics, and technologies (e.g., conversational interfaces, generative tools, adaptive UX).</li></ul><p><br></p>
<p>We’re looking for a software engineer with a strong foundation in Python and deep experience in Artificial Intelligence and Machine Learning, particularly in the areas of Large Language Models (LLMs) and Computer Vision. The right candidate will have a proven track record of building, testing, and scaling Python-based systems, along with a solid grasp of AI/ML methodologies and their practical applications. </p><p><br></p><ul><li>Analyze software requirements and evaluate technical solutions to meet functional goals.</li><li>Stay current with emerging research and publicly available models in LLMs, Computer Vision, and multimodal AI.</li><li>Collaborate with peers to assess and refine proposed technical strategies.</li><li>Develop Python-based microservices aligned with architectural designs.</li><li>Conduct testing and integrate services into the broader software ecosystem.</li><li>Maintain thorough documentation of research findings and implementation details.</li><li>Contribute to a collaborative and knowledge-sharing team culture. </li></ul><p><br></p><ul><li>Eligible for a security clearance.</li><li>2 to 5 years of practical experience in Python software development.</li><li>Bachelor’s degree in Computer Science, Data Science, or a closely related discipline.</li><li>Proficiency with machine learning libraries such as Pandas, NumPy, PyTorch, and spaCy.</li><li>Familiarity with LLM tools and ecosystems like Langchain, LlamaIndex, and providers such as sglang, vLLM, and OpenAI.</li><li>Experience working in environments like Jupyter Notebooks, Google Colab, and visualization tools such as Matplotlib, Plotly, and geoplotlib.</li><li>Understanding of transformer models, embedding techniques, transfer learning, and fine-tuning.</li><li>Solid foundation in statistical analysis and machine learning approaches including clustering, regression, neural networks, and deep learning.</li><li>Strong communication skills, both written and verbal, with the ability to convey technical concepts to stakeholders.</li><li>Willingness to travel occasionally for client engagements. </li></ul><p><br></p><ul><li>Exposure to Agentic AI frameworks (e.g., langgraph) and concepts like MCP and Retrieval-Augmented Generation (RAG).</li><li>Knowledge of natural language processing techniques such as TF-IDF, Bag of Words, Named Entity Recognition, and Part-of-Speech tagging.</li><li>Experience with distributed computing and data platforms like Spark, Hive, MongoDB, and MapReduce.</li><li>Understanding of modern cloud-native architectures and tools such as Docker, AWS, GCP, Jenkins, and TeamCity.</li><li>Master’s degree in a relevant technical field is a plus.</li></ul><p><br></p>
<p>Robert Half is seeking a Database Designer for a fulltime remote role with a Medical software company.</p><p>Must be based in Austin, TX, metropolitan area.</p><p><br></p><p>The Database Designer will be responsible for creating and implementing sound database schema and data models that support our SaaS platform’s scalability, performance, and maintainability. This role will refactor our existing fragmented and non-normalized databases into a cohesive, well-structured model, while guiding developers to adopt best practices moving forward.</p><p><br></p><p>While the primary focus will be schema and data model design in SQL Server, experience with ETL, reporting, and data warehouse design is a plus. The ideal candidate can also provide occasional DBA coverage during absences, ensuring operational continuity.</p><p><br></p><p>Duties and Responsibilities</p><p>-Analyze current database structures to identify and resolve design flaws, redundancies, and normalization issues.</p><p>-Redesign and refactor schemas to align with best practices for scalability, maintainability, and performance.</p><p>-Consolidate multiple databases into logical schemas where appropriate.</p><p>-Collaborate closely with developers to ensure application features align with the data model.</p><p>-Define and enforce database design standards, naming conventions, and documentation practices.</p><p>-Work with the DBA to ensure designs are operationally sound, secure, and maintainable.</p><p>-Assist in ETL process design, reporting architecture, and data warehouse modeling (as needed).</p><p>-Provide coverage for the DBA during planned absences, including monitoring, maintenance, and basic administrative tasks.</p><p>-Document all schemas, relationships, and design decisions in a maintainable format (e.g., data dictionaries, ER diagrams).</p><p>Other duties as needed</p>
We are looking for an Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This is a contract-to-permanent position, offering an exciting opportunity to apply cutting-edge AI technologies to real-world challenges. The ideal candidate will have a strong background in machine learning, data preprocessing, and model development, as well as a keen interest in exploring innovative AI tools and frameworks.<br><br>Responsibilities:<br>• Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI solutions into existing applications and services within secure on-premises environments.<br>• Experiment with large language models (LLMs) and agent-based coding tools to assess their potential for automation and analytics.<br>• Process and analyze structured and unstructured data from various internal systems to enhance model performance.<br>• Collaborate with teams to ensure compliance with Criminal Justice Information Systems and Personally Identifiable Information protection standards.<br>• Work alongside analysts and IT professionals to identify opportunities for AI-driven operational improvements.<br>• Participate in code reviews, testing, and deployment processes to ensure high-quality outcomes.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance principles.<br>• Conduct feature engineering and model evaluations to refine AI solutions.
We are looking for an experienced Senior AI Engineer to join our team in San Francisco, California. In this role, you will leverage cutting-edge technologies to design and implement advanced AI solutions, ensuring optimal performance and scalability. This position offers the opportunity to work on innovative projects that push the boundaries of artificial intelligence.<br><br>Responsibilities:<br>• Develop and optimize AI models and systems to meet business objectives.<br>• Collaborate with cross-functional teams to integrate AI technologies into existing workflows.<br>• Design and implement algorithms using Python and other programming languages.<br>• Utilize Agentic AI and LangGraph to create intelligent solutions tailored to client needs.<br>• Conduct thorough testing and validation to ensure the accuracy and reliability of AI models.<br>• Analyze complex datasets to uncover insights and improve system performance.<br>• Stay updated on industry trends and advancements, applying them to enhance project outcomes.<br>• Provide technical guidance and mentorship to less experienced team members.<br>• Document processes and solutions to maintain transparency and facilitate knowledge sharing.
<p>We are looking for an experienced Python Data/ML/AI Engineer to join our team in Tampa, Florida. This is a contract position with the potential for a long-term opportunity, offering the chance to work on challenging projects while contributing to the design and development of advanced data solutions. The ideal candidate will possess a strong background in data engineering, analytics, and database management, and will play a key role in transforming data into actionable insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement business intelligence solutions tailored to user requirements and organizational goals.</p><p>• Collaborate with stakeholders to gather technical and functional requirements, ensuring the successful creation of reporting solutions.</p><p>• Design, model, and maintain databases and data marts that support analytical and reporting needs.</p><p>• Build and manage ETL processes to efficiently load data into data repositories.</p><p>• Monitor and enhance data quality, recommending governance practices and controls for self-service analytics.</p><p>• Create automated validation and reconciliation checks to ensure data accuracy and integrity.</p><p>• Design data warehouses and implement dimensional modeling techniques such as star and snowflake schemas.</p><p>• Utilize programming languages like Python to clean, merge, and reshape data for analysis.</p><p>• Write optimized queries, functions, and stored procedures for databases such as SQL Server and PostgreSQL.</p><p>• Debug and troubleshoot issues across application and database layers to ensure seamless operations.</p>
We are looking for a Principal AI Software Architect to lead the design, development, and implementation of cutting-edge AI and software solutions across the organization. This role is ideal for a visionary leader who excels in combining technical expertise with architectural strategy to deliver scalable, innovative systems. As a contract position based in Columbus, Ohio, this opportunity requires someone with a strong background in AI, software engineering, and enterprise-level architecture.<br><br>Responsibilities:<br>• Lead the architecture, design, and deployment of AI-driven platforms and scalable software systems that align with organizational goals.<br>• Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to identify and address technical challenges.<br>• Evaluate and select advanced AI tools, frameworks, and technologies to optimize performance and scalability.<br>• Establish and enforce best practices for AI model development, MLOps, software engineering, DevOps, and system architecture.<br>• Provide mentorship and guidance to engineering teams, fostering a culture of innovation and technical excellence.<br>• Drive the technical strategy and long-term planning to align engineering initiatives with enterprise objectives.<br>• Ensure adherence to data privacy, security, and ethical standards in all AI and software development efforts.<br>• Conduct code reviews, implement automated testing processes, and promote continuous integration and delivery pipelines.<br>• Monitor emerging technologies and methodologies to identify opportunities for innovation and improvement.
<p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
<p>We are looking for an AI Conversation Designer to join our team on a part-time contract basis. This role involves designing and optimizing AI workflows to improve employee efficiency within an insurance organization. Based in New Jersey, you will work closely with cross-functional teams to develop and refine AI tools using Microsoft Copilot and proprietary AI models.</p><p><br></p><p>Responsibilities:</p><p>• Design, test, and refine AI prompts and workflows to automate internal processes and enhance employee productivity.</p><p>• Collaborate with marketing and innovation team members to implement AI strategies tailored to individual roles and tasks.</p><p>• Develop AI agents that integrate seamlessly with Microsoft tools such as SharePoint, Excel, Word, and PowerPoint.</p><p>• Translate business requirements into actionable AI prompt logic to address specific team needs.</p><p>• Optimize existing AI libraries and build new ones to improve agent performance and efficiency.</p><p>• Support employees in leveraging Microsoft Copilot and SelectiveGPT to create virtual coworkers that reduce task completion time.</p><p>• Partner with AI consultants and IT teams to align prompt engineering with broader organizational AI initiatives.</p><p>• Provide technical guidance and support for additional AI-related tasks as needed.</p><p><br></p><p><br></p><p>02720-0013313424</p><p><br></p>
