AI Facilitator/Instructor
Deliver virtual and in-person AI training sessions to educators across the MENA region. Guide participants through certification activities and adapt facilitation approaches to various learner profiles.
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Deliver virtual and in-person AI training sessions to educators across the MENA region. Guide participants through certification activities and adapt facilitation approaches to various learner profiles.
Architect and build proprietary AI agents and automation workflows to drive operational excellence and competitive advantage. Manage the AI stack, curate a skill library, and lead internal enablement to upskill marketing professionals on AI-augmented work.
Design and deploy autonomous agent frameworks and tool-API layers to automate document-heavy workflows. Build high-performance context engines and evaluation stacks to ensure the reliability and safety of AI-driven products.
Co-own the technical architecture and design of data and AI systems, focusing on data pipelines, agent systems, and service integration. Lead the technical execution of initiatives from discovery to production while mentoring engineers and upholding engineering standards.
Co-own the technical architecture and design of data and AI systems, focusing on data pipelines, agent systems, and service integration. Lead the technical execution of initiatives from discovery to production while mentoring engineers and upholding engineering standards.
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The Staff AI Engineer will architect and own ShiftKey's AI infrastructure, focusing on the organizational knowledge platform and agentic infrastructure on AWS. This includes evolving retrieval layers, building reference agent implementations, and managing the AI infrastructure cost model.
The Staff AI Engineer will architect and own ShiftKey's AI infrastructure, focusing on the organizational knowledge platform and agentic infrastructure on AWS. This includes evolving retrieval layers, building reference agent implementations, and managing the AI infrastructure cost model.
The Director of AI Evaluation defines and enforces quality standards for all internal and vendor-provided AI systems across the enterprise. This role manages a multidisciplinary team of data scientists and analysts to ensure AI performance, equity, and clinical outcomes are rigorously validated.
Act as the operational founder of a B2B AI venture focused on retail execution for the fashion and luxury sectors. Responsibilities include leading customer discovery, defining the product MVP, acquiring first paying customers, and preparing the company for spin-off and seed fundraising.
Design, train, and validate machine learning and deep learning models for clustering, classification, and anomaly detection. Integrate these models into production pipelines and collaborate on cloud-based proofs of concept and technical documentation.
Architect and scale GTM systems across sales, marketing, and product using AI-powered workflows and agents. Design intelligent systems for lead scoring, routing, and onboarding to drive revenue and remove growth bottlenecks.
Lead the design and integration of an enterprise virtual assistant connecting Moveworks and ServiceNow with various SaaS platforms. Translate business needs into scalable technical architectures to automate IT and business workflows across the enterprise.
Lead complex AI engagements from use-case identification and business case development to technical architecture and delivery. Drive the internal AI-native transformation of the consultancy and mentor junior consultants.
Manage a portfolio of trial customers to ensure they realize value from the Mazlan AI tool through onboarding and tailored guidance. Collaborate with Sales and Product teams to drive conversion and share customer feedback for product improvement.
Review, evaluate, and annotate AI-generated content across various formats including text, images, audio, and video. Perform quality checks and provide feedback to improve datasets and annotation guidelines for generative AI models.
The role focuses on detecting, investigating, and containing risks across AI tools, agents, and models to prevent shadow AI and data exfiltration. It involves monitoring telemetry, tuning detection rules, and supporting ISO 42001 certification and AI governance.
The role focuses on detecting, investigating, and containing risks across AI tools, agents, and models to prevent shadow AI and data exfiltration. It involves monitoring telemetry, tuning detection rules, and providing evidence for ISO 42001 certification.
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The role bridges Finance expertise and AI capabilities to ensure AI outputs are contextually correct and trustworthy. Key tasks include validating AI-generated outputs, prototyping solutions with low-code tools, and collaborating with Data Science teams to improve Finance processes.
Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and consistency. Contribute to the development of high-quality datasets and provide feedback to improve annotation guidelines.
Train and refine the Grok AI by curating and annotating high-quality multilingual audio data. Collaborate with technical staff to improve speech recognition, accent variation handling, and audio annotation tools.
Develop and deploy scalable machine learning models, including recommendation engines and predictive analytics, to enhance customer intelligence. Collaborate with cross-functional teams to translate business requirements into production-quality code and data pipelines.
Lead the enterprise AI transformation strategy by developing and deploying AI-enabled workflows, agents, and data products. Establish governance frameworks and operating models to drive measurable business outcomes and operational efficiency.
Design and build the orchestration and abstraction layers of a central AI system, connecting LLMs to tools and data. Establish strategies for retrieval (RAG), tool-surface design, and the use of specialized sub-agents.
Define and own the end-to-end model training strategy for Commercial AI products, covering both traditional ML and LLMs. Manage the entire data lifecycle including sourcing, curation, governance, and the creation of reproducible training pipelines.
Manage the implementation of automation and AI tools to streamline operational processes and reduce manual effort. Develop unified analytics dashboards to track AI agent performance and drive internal adoption across the operations team.
Manage the implementation of automation tools and AI agents to streamline operational workflows. Develop unified analytics dashboards to track AI performance and drive internal adoption through training and documentation.
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The role involves working with prospects to demonstrate the value of Allscripts products through technical architecture and integration options. It also requires collaborating with sales teams and clients to generate proposals, review contracts, and provide technical consultancy.
Design end-to-end AI-native product experiences and define new interaction patterns for legal professionals. Collaborate with engineers and product managers to transform complex legal workflows into intuitive, high-fidelity interfaces.
Serve as the deputy to the practice owner, leading the technical field and go-to-market motion for agentic AI solutions. Responsibilities include prototyping AI agents, shaping technical narratives for customers, and driving cross-functional execution to close opportunities.
Design and build scalable Data and AI platform capabilities to support analytics, data science, and Generative AI workflows. Develop reusable frameworks and standardize data pipelines while ensuring security, reliability, and operational excellence.
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