Jobs at Visium

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.

Design, build, and maintain cloud-native platforms, data pipelines, warehouses/lakehouses, and platform components. Ensure security, reliability, scalability, and collaborate across teams to define architecture and standards supporting AI and analytics.

Seeking a Full-Stack Software Engineer to build the core of an Agentic AI Platform. Responsibilities include frontend and backend development, product design collaboration, and infrastructure management with a focus on clean, maintainable code.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

The Associate Partner will advise C-level executives on AI and Data strategies, lead digital transformations, and develop client relationships in Life Sciences, while driving innovation and overseeing project delivery.

As a Senior AI/ML Engineer, you will develop and deploy AI initiatives, focusing on ML solutions and ensuring robust software integration. Responsibilities include coding, MLOps implementation, Agile delivery, and collaboration with stakeholders to translate business needs into technical solutions.

As an AI Machine Learning Engineer, you'll develop and deploy AI solutions, implement MLOps workflows, and partner with stakeholders to translate business challenges into technical requirements.

Lead AI engineering initiatives by establishing platform strategies, managing talent, enforcing technical standards, and ensuring the operational excellence of AI products.

Build and lead Visium's legal, governance, and compliance framework. Advise executives on corporate governance, financing and shareholder matters; negotiate enterprise agreements; ensure data protection and AI regulatory compliance; manage employment, mobility and equity issues across jurisdictions; develop scalable legal processes and manage external counsel to balance legal risk with commercial objectives.

As an AI Director, lead AI and data programs for Specialty Chemicals, drive account growth, mentor teams, and engage C-level stakeholders strategically.

Lead design, delivery, and evolution of client-facing AI and data platforms (Azure-focused). Manage forward-deployed platform teams, define engineering standards, advise senior clients, mentor staff, and drive account growth while ensuring scalable, production-grade MLOps, CI/CD, IaC and lakehouse implementations.

Manage the full recruitment lifecycle for technical and consulting roles, focusing on sourcing candidates, coordinating interviews, and improving hiring strategies.

Design, deploy, and operate cloud infrastructure; manage multiple regulated environments; build CI/CD pipelines; enforce security controls and reliability standards.

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.