Jobs at Visium

Own Visium's internal AI strategy and operations: build and govern agentic workflows, deploy and manage the AI tool stack, drive adoption through enablement and change management, measure impact and ROI, and favor pragmatic build-vs-buy decisions.

Serve as the bridge between engineering and business to deliver AI products from PoC to production. Translate business needs into product requirements, manage planning and prioritization, challenge technical decisions for scalability, mitigate risks and dependencies, and maintain stakeholder alignment and delivery cadence across cross-functional teams.

You will design, build, and maintain agentic architectures and multi-agent systems for AI products in the pharmaceutical domain, focusing on compliance and scalability.

As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.

Design and deliver end-to-end AI solutions from proof-of-concept to production on Azure. Architect GenAI, RAG, AI agents and ML systems, define standards and governance, guide engineering teams on MLOps/LLMOps, security and deployment, evaluate emerging AI technologies, and mentor engineers.

The Expert AI Manager oversees AI solution delivery, manages client relationships, and drives value creation through strategic engagement and stakeholder management.

The Staff AI Engineer will lead complex ML projects, mentor engineers, and drive adoption of ML best practices while ensuring architectural excellence. This role balances hands-on coding with strategic leadership and client collaboration.

As an AI Software Engineer, you will lead AI software projects, mentor colleagues, collaborate with stakeholders, and drive best practices in software engineering.

Define and drive architecture for end-to-end AI and data platforms on Azure. Establish standards, governance, and scalable cloud-native AI solutions; evaluate emerging AI technologies; translate business needs into technical designs; mentor engineering and data teams; ensure platform performance, security, and compliance.

As a Data & AI Strategy Analyst, you'll support the development and implementation of data strategies, assist with analytics use cases, and help communicate insights through reports and visualizations.

As a Senior Cloud Engineer, you'll design cloud infrastructure, define CI/CD standards, ensure systems security and reliability, and mentor teams.

The VP Go-To-Market defines and executes the GTM strategy, drives new business, manages pipeline generation, and oversees sales operations at Visium.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

Lead complex machine learning projects, mentor engineers, ensure architectural excellence, and drive strategic initiatives while contributing high quality code.

Responsible for managing sales operations infrastructure, including forecasting, CRM data ownership, variable compensation, and pricing governance to support commercial growth.

As a Machine Learning Engineer, you'll apply state-of-the-art techniques to projects, enhance customer experiences, and communicate results effectively.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Design and lead scalable, secure Azure-based data platforms and architectures. Define data models, standards, governance, and best practices. Guide technical trade-offs, collaborate with engineering and analytics teams, ensure performance, security, and cost-efficiency, and contribute to long-term data strategy and platform evolution.

The AI Product Owner connects engineering teams and stakeholders, translating business needs into product requirements while ensuring delivery and operational viability of AI solutions.

The Senior Data Modeler will design scalable data models using Data Vault 2.0 methodologies, collaborate with clients, and mentor peers in data strategy initiatives.