• Drive the evolution of Akamai's platform architectures • Lead cross-engineering efforts to identify, prioritize, and design solutions for critical platform system initiatives • Collaborate with architects across engineering to define solutions • Build consensus around technical strategy decisions • Engage with external partners and stakeholders to achieve platform evolution goals • Ensure platform architecture aligns with product goals

Company Description Hirevue is where hiring happens – transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue’s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe. Job Description At Hirevue, we’re in the business of potential. We build the technology that helps companies discover their next great leaders, but technology only works when it solves a real problem. We are looking for a Solution Architect who can move beyond the features of a product to show our customers the future of their workforce. This is a high-impact role for a consultant who loves the "Eureka!" moment—when a complex business challenge meets a smart, scalable solution. The Role You will serve as the technical and strategic backbone for our Sales and Customer Success teams. Your job is to listen to a customer's business pains and translate them into a clear, actionable roadmap using the Hirevue platform. Key Responsibilities: - Strategic Consulting: Partner with executive-level stakeholders to redesign hiring processes that are more efficient, fair, and data-driven. - The Business Case: Design and present ROI analyses that clearly articulate the financial and cultural impact of investing in Hirevue. - Solution Storytelling: Lead high-level demonstrations that focus on holistic business outcomes rather than just "clicks and buttons." - Market Expertise: Stay ahead of Human Capital Management (HCM) trends to act as a trusted advisor for both clients and internal teams. - Team Mentorship: Act as a subject matter expert, coaching colleagues on effective consulting strategies and industry best practices. Qualifications What We’re Looking For We need a mix of technical SaaS fluency and the interpersonal "soft skills" required to influence a boardroom. - Experience: 5+ years in HCM consulting. You understand the nuances of the talent landscape. - SaaS Fluency: You have a deep understanding of Software-as-a-Service delivery models and how they integrate into enterprise ecosystems. - Communication: You can translate "tech-speak" into "business-speak" effortlessly, tailoring your message for HR directors or CTOs alike. - Analytical Mindset: You enjoy digging into the data to build a compelling narrative for change. - Drive: You are a motivated, solution-oriented professional who works well independently but values a collaborative team win. Additional Information Why Hirevue? All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go. This position is a work-from-home role. The individual in this role must be able to work from home in an environment free from distractions, where they can attend virtual video meetings. Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data. Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines. Hirevue is NOT currently hiring in: AK, HI, IA, ME, MS, NM or WV. #remote-us

Purpose: The Senior AI Architect position requires a high degree of technical expertise in at least 2 relevant domains such as AI solution development, data science, security, cloud, integrations, Healthcare IT or similar. As a Senior AI Architect, you will be challenged with aligning the AI strategy with the business strategy of multiple projects and/or department initiatives. You will lead the creation of best practices, policies, procedures, and other applicable AI documentation. You will collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. You will align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations. Fully Remote Opportunity! Must be able to work eastern standard time. Responsibilities: The AI architect role spans the life cycle of AI solution development. The following paragraphs summarize the key responsibilities at each AI development stage. - - Develop Business Case - The AI architect works with business stakeholders and business owners to develop the architecture needed and clearly define the outcomes and success metrics. - Data Discovery - The AI architect must work with information/data architects, analytics team members and data scientists to identify and make available the data required. In addition, the AI architect must be sensitive to the data’s privacy, security and compliance issues. - Model Selection- Depending on the business outcome sought, the AI solution development team will need to select the right foundation model to deliver the services needed. The AI architect will support the identification of the foundation model and ensure that it can address the needs of the business architecture. - Model Training and Testing-The AI architect must work with stakeholders from across the IT organization to ensure that the right environment and computing resources are available for training and testing. This extends to ensuring that the data needed for testing and training is made available to the development team. The AI architect also supports the development of a training and testing plan, as well as the analysis of results and opportunities for improvement. - Model Deployment- The AI architect will work with business and IT stakeholders to develop a roll-out plan for the AI solution. - Continuous Monitoring- The AI architect will support the development of the monitoring plan and participate in the governance model if needed. - Bachelor's Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience. - Holds deep technical mastery and business knowledge across multiple technology domains. - Strategic thinking and analytical skills with demonstrated ability to combine broad technical, business, clinical and political factors. - Has a broad background implementing different architectures to meet differing needs. - Strong written and verbal communication skills and possesses good presentation skills. - Demonstrated ability to direct the implementation of diverse technologies in a complex organization. - Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies. - Demonstrated experiences innovating beyond the state of the art. - Maximizing technical efficiency and setting technical direction. MUST HAVES: - Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI. - Demonstrates a good understanding of product management, agile principles and development methodologies - Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work - Supports the development and delivery of data strategy for AI solution training, testing and deployment - Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information - Leads evaluation, design and analysis for the implementation of an AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards. - Develops data management strategies for AI model development, training and deployment - Articulates the business impact of AI solutions that translate technical performance into business success metrics - Deliver presentation skills to relevant stakeholders and technical audiences - Demonstrates a broad background implementing different architectures to meet differing needs. - Experience in software development and coding in various languages (C#, .NET, Java etc.) PREFERRED: - Healthcare IT experience preferred. - Has a Healthcare Payers knowledge of business and processes - Deliver presentations to senior-level executives - Experience with such AI techniques as natural-language processing (NLP); computer vision; deep learning tools, such as PyTorch, TensorFlow and AI/ML; libraries, such as GitHub and Hugging Face Licensure, Certifications, and Clearances: N/A UPMC is an Equal Opportunity Employer/Disability/Veteran

Location: Based in CET, Eastern US, or Middle East time zones, with the ability to maintain a 70% schedule overlap with the team’s core working hours of 10 AM to 5 PM CET. Remote | Full-time Compensation: Competitive Job Description We are hiring on behalf of our client who is seeking a Senior Technical Architect to join a high-impact Research & Development Innovation unit. This role is a critical team augmentation for a project focused on the development of a Tiered Pricing Mechanism. The Technical Architect takes full ownership and accountability for the technical decisions of a product, designing solutions—including products, components, features, and libraries—that satisfy both functional and non-functional requirements. This position bridges the gap between engineering and research to bring groundbreaking concepts to life. The role centers on validating technical feasibility, rapidly prototyping solutions, and simulating protocols to test the boundaries of possibility. The successful candidate will design and steer the technical direction of prototypes, transforming innovative product ideas or cutting-edge research into tangible, proof-of-concept models. By working at the intersection of theory and practical engineering, the Technical Architect ensures that innovative concepts are viable solutions ready for the next stage of development. Key Responsibilities Software Architecture and Technical Design - Define and document technical and architectural visions for products, components, and libraries. - Ensure recommended software engineering principles are followed across all projects. - Design solutions that satisfy business, functional, and non-functional requirements, distinguishing features from enablers. - Define subsystems and their interfaces while allocating clear responsibilities across the architecture. - Establish critical non-functional requirements and raise awareness of these needs among stakeholders. - Document all architecture and technical decisions in a centralized, accessible location. - Evaluate and select appropriate software, hardware, and integration methods, ensuring products do not rely on unstable or immature external libraries. - Factor the long-term costs of architectural decisions into the overall decision-making process. Teamwork and Delivery - Support agile software development practices and participate in planning, solution definition, and exploration of alternatives. - Provide technical advice during work prioritization and iteration planning. - Contribute to work breakdown and task allocation to maximize team effectiveness. - Review acceptance criteria for critical developer tasks. - Communicate technical details clearly with scientists, researchers, developers, and business stakeholders. - Summarize proposed technical solutions for management and business decision-makers. - Enable continuous delivery of features through appropriate architectural planning, timeline setting, and milestone definition. Knowledge and Continuous Learning - Acquire a deep technical understanding of the specific problem and solution spaces. - Maintain updated expertise in computer science and engineering techniques. - Review relevant literature and learn new topics as necessary to solve complex technical problems. - Recognize the limits of personal expertise and seek additional knowledge or external input when required.