9 hours ago
London, United KingdomSenior
Responsibilities
- Lead discovery and translate customer requirements and operational challenges into enterprise AI architectures and domain-specific use cases.
- Architect, prototype, and deliver secure, scalable LLM and agent systems using RAG, tools, function calling, prompt engineering, and guardrails.
- Own end-to-end Proof-of-Value projects, including technical close, ROI/TCO modeling, executive demonstrations, implementation, adoption, and value realization.
- Design industry-specific solutions across enterprise data, identity, compliance, and cloud environments.
- Codify successful approaches into reusable methodologies and globally scalable assets while mentoring junior peers.
- Act as a trusted strategic advisor to executive stakeholders and maintain account involvement through achieved business outcomes.
Requirements
- 5+ years of executive-facing presales or value engineering experience, including technical close ownership, accountable Proof-of-Value execution, ROI/TCO modeling, and driving projects through realized value.
- Deep knowledge of operational workflows and industry domains such as supply chain or finance, with the ability to communicate effectively with C-suite executives.
- Advanced expertise in LLM orchestration, tool use and function calling, RAG, agents, prompt engineering, and agentic enterprise workflow patterns.
- Expert-level practical experience with linear and nonlinear optimization, statistical analysis, reinforcement learning, and predictive forecasting.
- Experience designing production ML/LLMOps deployment architectures and reliability standards across AWS Bedrock, Azure AI, and GCP Vertex AI.
- Python proficiency, modular API design, reusable library development, advanced SQL, and scalable data integration using PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
- Experience architecting secure enterprise cloud environments with IAM, data governance, privacy, and security standards.
- Strong executive-level presentation, whiteboarding, demonstration, English communication, and stakeholder engagement skills.
- A master's degree in computer science, engineering, mathematics, or a related field, or equivalent work experience, is preferred.
Benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from the first day of employment.
- Unlimited PTO where applicable, generous PTO globally, and a flexible hybrid work model.
- Learning and development through the 70-20-10 framework, mentorship programs, and a dedicated learning platform.
- Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks.
- Paid annual Impact Days for community and environmental volunteering.
- Inclusion Think Tank and annual Inclusion Days.
- Full-time employment with a flexible hybrid work arrangement; regional PTO and benefit availability may vary.
About Celonis
Celonis builds an enterprise SaaS platform for process mining and process intelligence that helps large organizations analyze, monitor, and improve business operations across systems like ERP and CRM. It sells subscriptions and solutions that surface process bottlenecks, recommend actions, and trigger automations. Founded in 2011, Celonis is privately held and headquartered in New York City and Munich, serving enterprises globally across industries.