Gruve

• Rapidly prototype applications using AI-assisted coding tools • Build and iterate on LLM-powered applications and workflows • Use tools like Cursor, Claude Code, GitHub Copilot, Windsurf, Replit AI, etc. • Design and integrate MCP servers, APIs, and AI agents • Develop lightweight full-stack applications using modern frameworks • Experiment with prompts, workflows, and AI orchestration patterns • Collaborate with product and UX teams to turn ideas into demos quickly • Optimize developer productivity through automation and AI tooling • Stay current with emerging AI engineering trends and frameworks

• Marketing campaigns and content tailored to biotech and life sciences audiences for internal and external • Technical writing for product communications, platform guides, and user-facing content • Bridging IT-Tech capabilities with business unit narratives across LSG, CDG, and related functions • Positioning IT-Tech products and platforms in the context of clinical diagnostics and life sciences workflows • Well versed in AI content generation tools — part of your standard workflow, not a novelty

• Design, train, evaluate, and ship machine learning and deep learning models (classification, regression, ranking, vision, NLP, time series) against well-defined business and scientific problems. • Design and implement LLM-powered applications using major model providers (Claude/Anthropic, Azure OpenAI, OpenAI, or equivalents). • Build retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, vector store selection (e.g., Azure AI Search, pgvector), and re-ranking. • Develop agentic workflows with tool use and orchestration; implement guardrails, evaluation harnesses, and human-in-the-loop review where appropriate. • Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with offline evals and online metrics. • Build and maintain robust data and feature pipelines on Azure; ensure data quality, lineage, and reproducibility. • Productionize models with sound MLOps practices: versioning, automated retraining, drift detection, and rollback strategies. • Use AI coding assistants (Claude Code, Cursor) effectively alongside traditional manual coding — choosing the right approach for each task and reviewing AI-generated code with rigor. • Manage source code in Git using a clean branching strategy and pull-request-based review. • Build and maintain CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated testing, packaging, and deployment of AI services. • Deploy and operate services on Azure using containers (Docker), orchestration (Kubernetes/AKS), and infrastructure-as-code (Terraform or Bicep). • Instrument AI systems with logging, tracing, and evaluation pipelines so that quality, latency, and cost can be observed and managed over time. • Partner with security and compliance to address data privacy, PHI/PII handling, prompt injection, and model risk in regulated contexts. • Work directly with product, scientific, and business stakeholders to scope problems, set realistic expectations, and choose the right level of AI sophistication for the job. • Mentor engineers on AI-assisted development practices and on the patterns and pitfalls of LLM-based systems. • Conduct rigorous design and code reviews; advocate for evaluation, safety, and observability as first-class concerns.

• Maintain the release calendar for in-scope products, coordinating timing, dependencies, and stakeholder communication across APAC and EMEA teams. • Run release readiness reviews and facilitate go/no-go decisions, ensuring acceptance criteria, test evidence, security sign-off, and operational runbooks are complete before deployment. • Execute deployments to staging and production environments, including coordination of pre- and post-release validation, smoke tests, and rollback if needed. • Operate and continuously improve CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps), reducing manual steps and lead time for changes. • Drive change management in line with ITIL practices and applicable regulatory frameworks (e.g., GxP, 21 CFR Part 11), maintaining a complete and audit-ready release record. • Coordinate hotfix and emergency change processes, including incident-driven releases, while protecting overall system stability. • Support healthy lower environments (dev, QA, staging) by helping manage availability, configuration parity, and refresh cadence. • Track and report release metrics such as deployment frequency, lead time for changes, change failure rate, and mean time to recovery (DORA metrics). • Act as the regional release point of contact for APAC and EMEA stakeholders, escalating risks and decisions clearly and on time. • Document release processes, runbooks, and lessons learned, and share best practices with engineering teams across regions.

• Assess requested Unity software compatibility with customers' intended use and their laboratory IT infrastructure. • Communicate technical requirements and solutions effectively with both IT and lab personnel. • Demonstrate in-depth expertise in Unity Software Products, including knowledge of version differences and specific requirements. • Provide technical guidance on operating system requirements, permissions and access needs, network and integration requirements, SQL requirements, connectivity solutions, and data file review and analysis. • Facilitate Unity project onboarding across multiple departments and sites within customer organizations. • Apply IT expertise related to Unity software, including operating systems, SQL, network hardware, virtual environments, and communication protocols (TCP/IP, RS232), as well as data formats (HL7, ASTM). • Install Unity software products, leveraging specialized knowledge of transformers, channels, and integration with hardware, LIS, and middleware systems. • Streamline lab workflows and optimize performance by connecting a variety of instruments and platforms to Unity software. • Configure and map software features, working closely with lab personnel to address varying data needs. • Adhere to standard work while investigating and documenting technical issues and partnering with customers on the implementation and functionality of Unity Software Solutions. • Verify successful data transmission and integration into Unity.

• Plan and execute end-to-end corporate events, from small team sessions to large-scale internal expos and leadership events • Coordinate venue sourcing, vendor management, catering, event logistics, and operational planning • Manage event communications including invitations, registrations, attendee coordination, and follow-ups • Own and track event budgets while ensuring cost optimization through effective vendor negotiations • Oversee on-site event execution and troubleshoot real-time operational challenges • Collaborate with internal stakeholders, leadership teams, vendors, and support teams to ensure smooth event delivery • Prepare post-event reports, feedback analysis, and improvement recommendations for future events

• Design and deliver scalable, secure, and high‑performance applications that enable seamless communication between IoT devices / systems, backend platforms, and user-facing applications. • Collaborate with cross-functional teams to build reliable, enterprise-grade IoT solutions that meet business and technical requirements

• Plan and execute internal campaigns across channels from initial brief to final delivery, with full ownership of timelines and outcomes • Create multi-format content independently copy, graphics, and short-form video without relying on a dedicated creative team • Leverage AI tools actively and strategically to accelerate production, enhance quality, and scale content output • Develop adoption-focused messaging strategies that move users from awareness to behavior change, not just awareness • Track campaign performance and iterate based on data identifying what's working and optimizing continuously

• Serve as top-level escalation for complex network/security incidents • Lead major incident resolution and post-incident improvements • Ensure high availability and security of global platforms • Support hybrid cloud/on-prem connectivity • Drive monitoring optimization and automation • Mentor mid-level engineers

• Design end-to-end SAP solution architectures across SAP S/4HANA and related SAP modules. • Translate business requirements into scalable and robust SAP technical and functional designs. • Define system integration architecture between SAP and non-SAP applications. • Provide architectural guidance during SAP implementations, upgrades, rollouts, and migrations. • Ensure alignment with SAP best practices, enterprise architecture standards, and governance models. • Collaborate with functional, technical, BASIS, and integration teams to ensure quality solution delivery. • Drive performance optimization, scalability, availability, and reliability of SAP landscapes. • Support SAP security, authorization concepts, and data protection requirements. • Review and approve technical designs, custom developments, and system configurations. • Provide technical leadership, mentoring, and guidance to SAP project teams. • Stay current with SAP roadmaps, emerging technologies, and industry trends.