Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves We're building a dataset to evaluate AI coding agents — how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: - Build virtual companies following a high-level plan - codebase, infrastructure, and context (conversations, documentation, tickets) that form a realistic environment with development history - Assemble and calibrate tasks from intermediate states of the virtual company: craft the prompt, define evaluation criteria, and ensure the task is solvable and the evaluation is fair - Design tasks set in isolated environments - emulations of a developer's workstation: a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation, etc.), and a real web application codebase - Write tests that accept all correct solutions and reject incorrect ones - neither too strict (breaking on valid approaches) nor too lenient (passing bad ones) - Iterate with an AI agent on tests - verifying they catch real problems, don't miss bad solutions, and don't break on good ones - Review code written by agents, analyze why an agent failed or succeeded, and design edge cases and adversarial scenarios - Iterate based on feedback from expert QA reviewers who score your work on quality criteria What this is NOT - Not data labeling - Not prompt engineering - Not writing code from scratch - the agent writes most of the code; you guide and evaluate A significant part of the work is done together with AI - it's very hard to create tasks that challenge frontier models without using frontier models. What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Computer Science, Software Engineering, or related fields - 5+ years in software development, primarily Python (FastAPI, pytest, async/await, subprocess, file operations) - Background in full-stack development, with experience building React-based interfaces (JavaScript/TypeScript) and robust back-end systems - Experience writing tests (functional, integration — not just running them) - Docker containers, and familiarity with infrastructure tools (Postgres, Kafka, Redis) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 You don't need to be an expert in every item, but you should be comfortable reading and reasoning about code across the stack. Why this is hard - Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. - Tasks have many valid solutions. Writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Compensation On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Lead the planning, execution, and delivery of multiple AI initiatives, ensuring projects meet scope, timelines, quality expectations, and business objectives • Mentor and support AI Engineers by setting clear direction, providing coaching, and building a high-performing project team • Partner with stakeholders across product, science, clinical, operations, and engineering to define requirements, priorities, milestones, risks, and success metrics • Translate stakeholder needs into technical roadmaps, delivery plans, and resourcing strategies for AI-powered products and platforms • Guide solution design, software development, model integration, testing, deployment, and operational support across the AI project portfolio • Drive strong AI research and engineering practices across the team • Coordinate dependencies, remove blockers, and communicate project status, risks, and tradeoffs clearly to leadership and stakeholders • Balance innovation and experimentation with execution discipline, scalability, reliability, and compliance considerations • Contribute to hiring, onboarding, team planning, and continuous improvement of delivery processes and engineering standards

Are you ready to shape the future of AI in clinical research? Join Clario, part of Thermo Fischer Scientific, as an AI Engineer, where your expertise in machine learning, generative AI, and software engineering will drive transformative solutions across the pharmaceutical and healthcare industries. You’ll be at the forefront of innovation - designing intelligent systems, fine-tuning models, and building scalable AI services that directly impact patient outcomes worldwide. What We Offer - Competitive compensation - Attractive benefits (security, flexibility, support and well-being) - Remote or hybrid working What You'll Be Doing - Design, develop, and maintain AI-powered applications with a strong focus on Agentic AI, AI Agents, and LLM-enabled workflows - Build software services, APIs, and orchestration layers that connect AI models and tools into scalable production solutions - Contribute to the design, training, fine-tuning, evaluation, and deployment of AI models, including large language models and supporting ML components - Develop and optimize data pipelines for model training, retrieval, evaluation, and monitoring - Implement testing strategies, benchmarks, and quality controls to ensure AI systems are reliable, accurate, secure, and performant - Collaborate with AI engineers, software developers, scientists, and product managers to translate business requirements into technical solutions - Participate in the full software development lifecycle: design, implementation, testing, deployment, and monitoring in cloud environments (AWS preferred) - Apply engineering best practices for code quality, documentation, maintainability, and operational excellence - Support experimentation with new AI techniques, frameworks, and tooling, and help mature promising ideas into production capabilities - Stay up to date with advancements in generative AI, agentic systems, multi-modal AI, and cloud engineering What We're Looking For - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's a plus) - 3+ years of experience in software engineering, AI engineering, machine learning, or a related technical field - Strong proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow - Experience building AI-enabled software applications and integrating machine learning or LLM capabilities into backend systems - Hands-on experience or strong interest in Agentic AI, AI Agents, tool-use workflows, or multi-step orchestration patterns - Familiarity with model training, fine-tuning, evaluation, prompt and workflow design, or model-serving concepts - Understanding of cloud-based architectures - Strong problem-solving, communication, and collaboration skills - Commitment to code quality, security, scalability, and performance - Eagerness to learn, adapt, and stay current with emerging AI technologies and engineering practices At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As part of the newly established EMEA AI Consulting Practice within Expert Services, the AI Architect will serve as a strategic and technical lead in designing, advising, and delivering AI-enabled transformation engagements for enterprise customers. This role bridges technical implementation and C-suite advisory, working across customer workflows, business architecture, and organizational change to maximize value realization, adoption, and long-term growth. The AI Architect will operate at the intersection of technology, business consulting, and customer success — supporting the full lifecycle from use-case definition and value modeling through implementation, governance, adoption, and ongoing optimization. What you will get in this role - Provide technical and strategic advisory to customers on how to best leverage ServiceNow AI capabilities to meet business objectives. - Lead the scoping and design of AI use cases — including business value assessment, ROI modeling, and prioritization based on impact and feasibility. - Define and drive AI operating models, governance frameworks, data stewardship, and responsible AI practices tailored to enterprise context (including compliance, security, and ethical considerations). - Collaborate cross-functionally with Sales, Customer Success, Solution Architecture, Platform, Product, and Renewal teams to embed AI advisory into the customer lifecycle and ensure alignment across stakeholders. - Support and lead adoption and change-management strategies for AI rollouts, including readiness assessments, stakeholder engagement, AI-literacy programs, and user enablement. - Participate in hands-on delivery for complex or high-value AI engagements when required, especially in early phases or pilot projects, to ensure architecture integrity and best practices. - Build and maintain industry-specific AI advisory playbooks and frameworks (verticalized use-case catalogs, value models, governance templates, deployment patterns) to support repeatable, scalable engagement delivery across EMEA. - Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the company in external AI forums or customer briefings. - Monitor adoption, usage, and value realization metrics post-deployment; provide consultative recommendations for continuous optimization, expansion, and risk mitigation. Qualifications - 8+ years of experience management consulting or leadership role at a top-tier consulting firm, solution consulting, or similar positions focused on technology advisory or architecture role, with significant exposure to Artificial Intelligence, Machine Learning, or Data & Analytics. (Strong track record in enterprise-scale AI, automation, or digital transformation engagements.) - ServiceNow domain knowledge, such as: AI - NLU, NLQ, Now Assist Skills and Skill Kit, Now Assist for Virtual Agent, Agentic workflows, RAG, Knowledge graph, A2A, MCP. - Demonstrated ability to design and manage complex, multi-stakeholder AI or digital-transformation engagements — including use-case definition, business case development, integration, data strategy, governance, and operational adoption. - Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance/regulatory frameworks (especially relevant in EMEA context). - Excellent communication and interpersonal skills — ability to articulate technical and business value to C-level executives, align stakeholders, and influence decision-making. - Experience working in fast-paced, dynamic environments, with capability to manage ambiguity, tailor consulting deliverables to different customer maturity levels (from early adopters to AI-ready enterprises). - Familiarity with ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, etc.), ideally including existing implementation/architecture experience. (Certifications such as ServiceNow System Administrator / Implementation Specialist / Architect are desirable.) Why This Role Matters The AI Architect is a cornerstone of the new AI Practice — enabling ServiceNow Expert Services in EMEA to evolve from a purely delivery-oriented model into a strategic, consulting-driven organization that delivers real business value, fosters trusted relationships with C-level stakeholders, and drives growth, retention, and expansion of AI services across the region. This role is critical to bridging the gap between platform capability and enterprise value — turning technical enablement into business transformation. 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 [email protected] 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. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. - Employee Type: Regular - Region: EMEA - Europe, Middle East and Africa - Work Persona: Flexible or Remote