Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role - you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role - you will be in front of customers regularly and are expected to travel up to 25% of the time. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5-8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges - leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success - and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts - architecture diagrams, solution proposals, SOWs - tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude - equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 5+ years of experience in a customer-facing technical role - Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns - and thoughtful about how to apply them to build reliable, scalable solutions For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Role Description This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy. You will build scalable and innovative solutions that directly influence patient outcomes and business operations. As part of a highly collaborative environment, you will take end-to-end ownership of AI initiatives and play a key role in defining how intelligent systems are embedded across the organisation. We look for someone who combines strong software engineering background with applied AI expertise and enjoys turning ambitious ideas into reliable real-world solutions. Qualifications - Strong experience in building production-grade Machine Learning and Generative AI solutions, with a focus on production-ready systems - You enjoy working at the intersection of technology, healthcare, and business impact - A mindset of ownership and curiosity, with a drive to explore new AI innovations - You value collaboration and don’t like solving complex challenges on your own Requirements - Design, build and evolve scalable ML and generative AI systems that deliver measurable value in customer-facing and operational use cases - Develop robust end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement of AI solutions in production - Collaborate closely with product, engineering, data, and business stakeholders to bring AI capabilities into core digital healthcare systems and operations - Explore and implement cutting-edge AI advancements to continuously enhance innovation and solution effectiveness - Take ownership as AI Technical Owner, shaping the technical roadmap and driving the full AI lifecycle across strategic initiatives - Contribute to and adhere to our governance, experimentation, model quality, versioning, observability, and compliance practices in a regulated environment Benefits - Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. - Personal development: Grow! We support and encourage your individual development through various in- and external trainings. - Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties. - Corporate pension plan: We offer a company pension scheme and have a dedicated external consultant to offer you the best guidance and advice. - Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.

• AI Engineer with 6-9 years of experience • Architecture of RAG pipelines • Integration of generative AI into enterprise cloud environments

Role Description In our Data / AI Engineering team, you will be working closely with our best-in-class engineers, experienced in building ultra-modern products. You will be working with Cloud technologies, like AWS, Azure, and GCP, latest technology trends in Data and Machine Learning, e.g. Python, LLMs, Vertex AI, Data Lake(house), Vector DBs, dbt, Kubernetes, and many more. Tasks: - Design and develop complex solutions for Data-Intensive and AI Applications. - Develop and optimize EL(T) processing pipelines to create the foundations for analytical / machine learning workflows. - Be involved in all topics concerning data extraction, transformation, integration, and storage. - Use your software engineering expertise to provide clean, extensible, and scalable solutions. - Mentor the team to develop professionally. - You will work in cross-functional teams together with our client and stakeholders designing and implementing state-of-the-art solutions. - Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact. - Work independently, using your conceptual and creative skills. Qualifications - 3+ years of experience working professionally with Python or other programming languages, and SQL. - 3+ years of experience in Data Engineering, AI Engineering, or similar positions. - Experience with cloud computing platforms like AWS, Azure, or GCP. - Experience with Data Platforms such as Databricks, Snowflake, BigQuery, or Redshift. - Experience with DevOps practices and CI/CD pipelines. - Understanding of Distributed Systems. - Motivated and fast learner. - Development experience with Agile methodologies. - Excellent problem-solving and interpersonal skills. - Excellent English communication skills. Requirements - Nice to have: - Experience working with stream processing (Kafka, Spark Streaming, Flink). - Experience with automation and orchestration tools such as Kubeflow, Airflow, or Prefect. - Experience with AI Agent Frameworks (e.g.: MCP, LangChain, PydanticAI, LangFuse). - Knowledge of PyTorch and/or TensorFlow. - Related Certifications. Benefits - Work with world-class engineers. - MacBook Pro working devices. - Focus on your professional growth. - Welcoming and open company culture. - Paid training and bonuses for every achieved certification. - Stimulating environment to learn and experiment with the newest technologies. - Flexible working hours combined with a hybrid work structure. Find the balance that works best for you. - Be part of our international, experienced, and highly motivated team. - Entrepreneurial responsibilities and upward career growth. - Engaging, open office located in central Tirana. - Joint weekly team lunch organized by us. - Team events and expanding perks. Company Description At DataMax, our mission is to enable companies to harness the power of data and become fully data-driven organizations. We specialize in building and optimizing machine learning projects and workflows to ensure maximum benefits for our clients. Our team is committed to delivering reliable, extensible, and scalable end-to-end data and machine learning workflows that meet the unique needs of each client.