Pioneer the application of technology to the solution of business problems by partnering closely with business teams to deeply understand their core challenges and strategic goals. Focus on designing and building intelligent systems that can reason, plan, and execute tasks with a high degree of autonomy.
Compensation
On top of your competitive salary of £45,000, which is reviewed annually
Responsibilities
Collaborate directly with business stakeholders to identify, understand, and define high-impact opportunities for the application of technology.
Lead the conceptualization and rapid prototyping of AI-based proof of concepts; demonstrate value, fail fast.
Architect and build intelligent production solutions to identified opportunities utilising the optimal data engineering tool-set; with a focus on Agentic AI.
Own the full product development lifecycle, ensuring the final systems are robust, scalable, and align with governance frameworks.
Architect, build, and maintain scalable data pipelines. This includes integrating with existing data sources and applying software engineering practices to ensure data reliability, security and quality.
Requirements
Bachelor's or Master's degree in a quantitative field such as Computer Science, Engineering, Maths, Statistics, Operations Research or Analytics
Lead the development and execution of the Virtual Workspace AI and Automation strategy, driving innovation, productivity, operational excellence, and user experience improvements across enterprise digital workplace platforms.
Responsibilities
Lead the development and execution of the Virtual Workspace AI and Automation strategy
Establish and lead a team responsible for identifying, developing, and deploying AI-powered solutions that automate engineering, operational, and support processes across Citrix, Azure Virtual Desktop, Enterprise Browser, Endpoint, and related Virtual Workspace technologies
Partner with engineering leaders, product managers, architects, operations teams, and business stakeholders to identify high-value AI use cases and develop scalable automation solutions that improve service quality, reduce operational costs, and accelerate delivery
Develop AI-enabled capabilities leveraging Microsoft Copilot, Azure AI Services, Large Language Models (LLMs), agentic frameworks, machine learning technologies, and enterprise data platforms
Drive adoption of software engineering and automation best practices, including API-driven automation, Infrastructure as Code (IaC), workflow orchestration, self-service capabilities, and intelligent remediation
The AI Engineer designs, builds, and operates enterprise generative AI solutions that improve business processes and employee productivity. The role turns business needs into reliable AI tools, agents, and automations grounded in company data, with appropriate security, governance, and human oversight in a regulated healthcare environment.
Compensation
Excellent Annual Salary + 20% Bonus Potential
Responsibilities
Design, build, and operate enterprise generative AI solutions
Turn business needs into reliable AI tools, agents, and automations grounded in company data
Deploy, maintain, and improve production AI systems by testing and evaluating solutions
Manage deployments, monitor performance, and resolve issues
Implement safeguards and support adoption by partnering with business, Quality, Compliance, and Information Security teams
Requirements
Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or related field OR relevant experience
Lead the company's most complex, high-impact AI use cases from discovery through implementation, providing technical leadership and mentorship to junior engineers.
Compensation
$180,400—$225,500 USD
Responsibilities
Lead complex AI initiatives spanning multiple functions
Serve as trusted advisor to senior business and technology leaders
Architect and build AI solutions using AI agents, LLMs, retrieval-augmented generation, and agentic coding tools
Set technical direction for solution design and production readiness
Establish reusable solution patterns and frameworks
Requirements
Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or another technically rigorous discipline
Design, build, and operate customer-facing AI platform services and product features primarily in Python, integrating with PHP and Java systems.
Responsibilities
Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed
Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
Evaluate models and providers for specific product use cases, using clear success criteria and abstractions that keep the platform flexible as the AI ecosystem evolves
Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time
As a GenAI Product Builder, you’ll embed directly with Tempus teams — from health systems to life science organizations to internal operations— to help them identify real problems and solve them using agentic GenAI solutions.
Compensation
CHI - $110,000 - $140,000
Responsibilities
Partner with customer and business leaders to uncover high-impact use cases where GenAI can deliver measurable value
Through customer research, problem discovery and systems thinking, translate vague operational challenges into clear, functional solutions
Build rapid prototypes / proof-of-concepts to validate ideas and drive alignment
Design and implement agent-based solutions — from workflow automation to patient communication, insight generation, or clinical operations
Work directly with LLMs and agent frameworks (prompt design, chaining, context management, evaluation, and guardrails)
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