Senior Microsoft 365 Engineer

ABOUT OUR CLIENT Our client is a pioneering biopharmaceutical company dedicated to discovering and developing next-generation medicines that transform patient lives. Operating at the intersection of cutting-edge science and advanced technology, they foster a highly collaborative and forward-thinking environment. They leverage robust IT infrastructure to streamline their global operations and accelerate life-saving research. By joining this team, you will be playing a critical role in supporting an organization where technological innovation directly impacts human health and well-being. THE OPPORTUNITY Are you a visionary architect who views ServiceNow not just as a tool, but as an enterprise-driving engine? We are looking for a ServiceNow Platform Architect to take the steering wheel of our client's platform ecosystem. In this high-impact role, you won't just be maintaining systems—you will own the architectural roadmap, lead technical strategy, and design sophisticated, end-to-end solutions. As a key member of the ITSM team, you will collaborate with cross-functional stakeholders across IT operations, security, and infrastructure to build a scalable, secure, and high-performing digital ecosystem. WHAT YOU’LL DO (KEY RESPONSIBILITIES) * Shape the Architectural Vision: Define and document the long-term roadmap for the ServiceNow platform, ensuring top-tier scalability, performance, and security across ITSM, ITOM, ITBM, and custom apps. * Provide Technical Leadership: Lead technical design sessions, mentor development teams, and act as the trusted advisor for stakeholders on configuration and architectural best practices. * Mastermind Integrations: Design and implement seamless integrations between ServiceNow and third-party systems using APIs, web services, and middleware tools to drive absolute automation. * Drive Governance & Optimization: Establish robust platform governance policies, review code standards, eliminate performance bottlenecks, and ensure strict compliance with industry security practices. * Engage & Influence: Translate complex business requirements into elegant technical solutions, presenting your vision confidently to senior management and key stakeholders. WHAT WE ARE LOOKING FOR * The Experience: 7+ years of deep, hands-on experience within the ServiceNow ecosystem, moving successfully from implementation to high-level architectural design. * The Module Expertise: Extensive, well-rounded knowledge of ServiceNow modules, specifically ITSM, HRSD, ITAM, ITOM, and ITBM. * The Integration Edge: Proven track record of designing complex system integrations and a strong grasp of platform security architecture. * The Leader Mindset: A collaborative communicator who can guide technical teams, influence stakeholders, and clearly document sophisticated processes. WHY YOU SHOULD APPLY * Impact-Driven Work: Your architectural decisions directly support a company working on life-changing medical advancements. * Autonomy & Ownership: You will have a seat at the table to define standards, drive governance, and introduce cutting-edge platform features. * Collaborative Culture: Work alongside elite professionals in IT operations, security, and infrastructure who value innovation over bureaucracy.

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We're looking for a Senior AI Engineer / ML Engineer to join an R&D team building next-generation AI solutions based on Large Language Models and agentic AI. This is not a traditional ML engineering role. You'll work on rapidly evolving AI products, combining modern LLM capabilities with strong Machine Learning fundamentals to design production-ready solutions. You'll be expected to evaluate business problems, choose appropriate ML approaches, architect end-to-end systems, and independently drive ideas from concept to deployment. If you enjoy solving complex engineering problems around LLMs and agentic AI, experimenting with new technologies, and turning research into practical products, we'd love to hear from you. This is the team You'll join a senior AI engineering team working in a fast-moving R&D environment where experimentation, ownership, and rapid iteration are part of everyday work. The team designs and delivers production AI systems based on LLMs, agentic workflows, and modern Machine Learning techniques. Engineers are expected to take ownership of technical decisions, collaborate closely with architects and product stakeholders, and continuously evaluate new approaches as the technology evolves. This role offers the opportunity to work on cutting-edge AI products while having a real impact on both technical direction and product design. This is you * 6+ years of commercial experience building Machine Learning systems. * Proven ML technical leadership experience — the ability to understand business problems, select appropriate ML approaches, design end-to-end solutions, and make technical decisions beyond simply implementing models. * Strong hands-on experience with agentic orchestration frameworks such as LangGraph, LangChain, or similar. * Experience designing multi-agent systems, orchestration workflows, state management, tool calling, and structured outputs. * Hands-on experience building production-grade applications using Large Language Models (OpenAI, Gemini, Anthropic or similar). * Strong understanding of: * Retrieval-Augmented Generation (RAG) * embeddings * semantic search * retrieval optimization * prompt engineering and context management * Experience working with vector databases (Vertex AI RAG Engine, Pinecone, FAISS, Weaviate or similar). * Strong Python development skills. * Experience building APIs with FastAPI (or similar frameworks). * Experience with async programming and long-running backend processes. * Experience designing structured data models using Pydantic (or similar validation frameworks). * Experience with Docker. * Comfortable working independently in fast-changing R&D and Proof-of-Concept environments. * Strong ownership mindset and excellent problem-solving skills. * Experience using AI-assisted development tools for coding, debugging, refactoring, and documentation. Nice-to-have skills: * Experience with Google Cloud Platform. * Hands-on experience with Vertex AI and Gemini. * Experience with Vertex AI RAG Engine. * Experience with AWS or Azure and willingness to work with GCP. * Experience combining LLMs with Computer Vision, signal processing, or other multimodal AI systems. * Experience fine-tuning foundation models or adapting open-source LLMs. * Experience designing evaluation and benchmarking pipelines for AI systems. This is your role * Design end-to-end AI solutions by analysing business problems, selecting appropriate Machine Learning approaches, and defining scalable system architectures. * Build production-grade agentic AI systems using modern orchestration frameworks and Large Language Models. * Develop and improve Retrieval-Augmented Generation (RAG) pipelines, semantic search, and knowledge retrieval solutions. * Design and implement robust Python backend services and APIs supporting AI applications. * Collaborate with engineering and product teams to rapidly prototype, validate, and iterate on new AI capabilities. * Evaluate new technologies, frameworks, and research directions, translating promising ideas into production-ready solutions. * Drive technical quality, reliability, and maintainability across AI systems while contributing to architectural decisions and engineering best practices.   What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.