• Partner with Sales Directors to conduct in-depth customer discovery, mapping business challenges and identifying ideal AI-driven solutions • Act as a strategic liaison between medical affairs teams and our AI solutions, translating complex medical requirements into actionable technological implementations • Maintain comprehensive best practice guides and playbooks to optimize process readiness for AI solution adoption • Support and guide AI roadmap development for pharmaceutical customers by understanding their strategic vision • Assess and inform internal capabilities in the area of medical affairs • Aligning future goals with AI technological potential • Work closely with Customer Success project leads in contracted project implementation, enabling: • Precise adherence to customer requirements • Consistent delivery against agreed project scope • Facilitate customer understanding of Responsible AI tool applications • Co-Lead training and change management initiatives with the client • Collaborate closely with technology and product teams to: • Align product features with key customer requirements • Serve as the primary medical affairs subject matter expert, representing client needs • Be able to assist customers in defining and designing solutions • Provide expert guidance in medical affairs areas including: • Field excellence • Insights management • Key Opinion Leader (KOL) engagement strategies • Publication planning and delivery • Congress management • Impact demonstration • Support the usage of the platform by different medical personas, proactively identifying adoption barriers and resolution strategies • Maintain best practice guides and playbooks to optimise process readiness for AI solution adoption • Contribute to AI roadmap development for pharmaceutical customers by grounding technology direction in real-world Medical Affairs needs

Role Description Ateko is seeking a Senior MuleSoft Solution Architect to lead our most critical client integration engagements. We expect this person to transition into leading a small group of 2-3 integration engineers, managing their work while maintaining hands-on architectural responsibilities. This is a strategic, high-visibility consulting role where you will partner directly with client stakeholders, from Enterprise Architects to CTOs, to architect scalable, API-led solutions that resolve critical operational bottlenecks. We expect you to be an AI-first developer who defaults to using AI coding assistants to write boilerplate, debug, and accelerate your daily work. You will act as the primary technical advisor for our customers and serve as a key stakeholder in our strategic relationship with Salesforce. Your time will be split between advising clients on architecture and building an internal team to help our clients maximize their MuleSoft investment. Responsibilities - Strategic Architecture & Client Advisory - Executive Consulting: Translate business process gaps into integration patterns. - Center of Excellence: Define integration best practices and train internal developers. - Salesforce & Data Cloud Strategy: Collaborate with Salesforce Architects on data sharing strategies. - Technical Delivery & Design - API Design First: Lead the design of RAML/OAS specifications. - Complex Transformation Logic: Own complex DataWeave transformations. - Resilience & Security: Architect for failure and define API security policies. - Deployment and Scale: Architect solutions that are container-ready. - Data Strategy & Technical Engineering - Complex Data Migrations: Lead strategy for high-volume data migrations. - Technical Agility & Problem Solving: Serve as the primary escalation point for integration challenges. - Mentorship & Growth - AI Workflow Mentorship: Share best practices on using AI tools. - Continuous Learning: Explore and pilot new features. - Mentorship & Management: Guide junior developers and explain technical concepts clearly. Qualifications - 5+ years of hands-on integration experience, with at least 3 years focused on the MuleSoft Anypoint Platform. - MuleSoft Certified Developer (Level 1) is required; MuleSoft Certified Platform Architect (Level 1) is highly preferred. - Experience in a Consulting or Professional Services environment is a major plus. Requirements - DataWeave Mastery: Deep understanding of DataWeave and complex payload mappings. - Salesforce Ecosystem: Strong knowledge of Salesforce Connectors and APIs. - AI Tooling Proficiency: Use of tools like GitHub Copilot, Cursor, ChatGPT, or MuleSoft Einstein. - ETL & Data Handling: Experience with ETL strategies and tools. - DevOps & CI/CD: Familiarity with deploying MuleSoft applications using CI/CD pipelines. Benefits - The opportunity to be part of a fast-growing professional services organization. - A flat, modern, high-integrity work culture with direct access to all levels of the team. - Medical and dental benefits. - An allowance to help set up your own home office. - Flexible remote work options to suit your role and lifestyle. - Paid time for training and reimbursement for certifications. - 20 hours of your workday over the year to spend doing volunteer work.

• Design and implement Azure infrastructure solutions, ensuring high availability, scalability, and security; • Develop advanced architectures with a focus on containers and orchestration using Kubernetes; • Collaborate with development, operations, and security teams to build integrated solutions; • Evaluate and recommend technologies and tools appropriate for infrastructure challenges; • Perform performance analyses and propose optimizations for systems and applications; • Document architectures, solutions, and operational best practices; • Provide technical support during implementation and post-implementation; • Lead infrastructure automation initiatives using Terraform, Ansible, and custom scripts.

• Set up and configure the next generation of AI software • Design and build integrations for AI tooling to core systems and data • Collaborate with various departments to understand their requirements and provide AI solutions • Ensure seamless integration and functionality of AI tools within the cloud infrastructure • Troubleshoot and resolve any issues related to AI tools and their integration • Provide training and support to team members on the use of AI tools