10 days ago
Bengaluru, IndiaSenior
Responsibilities
- Understand customer AI strategies and business-critical challenges and translate them into Celonis solutions and specific AI use cases.
- Lead technical pre-sales activities, including AI roadmaps, ROI/TCO business cases, solution architecture, demonstrations, and executive presentations.
- Rapidly prototype AI solutions during customer hackathons using generative AI, machine learning, and LLM technologies.
- Execute end-to-end proof-of-value projects, delivering secure and scalable LLM and agent systems with RAG, tools, and guardrails.
- Integrate solutions with enterprise data, identity, and compliance frameworks.
- Enable customers to move from rule-based automation to autonomous AI agents supported by the Celonis Process Intelligence Platform.
- Remain involved until agreed value and adoption thresholds are achieved.
- Develop domain or industry expertise and share knowledge across the organization.
Requirements
- 5+ years of experience leading technical pre-sales, including AI roadmaps, ROI/TCO business cases, and machine learning or generative AI prototypes.
- Required experience in the Energy, Oil & Gas industry.
- Understanding of generative AI techniques including RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
- Understanding of business processes such as Supply Chain or Finance and the ability to translate business needs into AI use cases.
- Good knowledge of Python, LangChain, pandas, pydantic, scikit-learn, PyTorch, and data engineering tools and technologies.
- Strong presentation skills for internal and external stakeholders, including executives, whiteboarding sessions, formal readouts, and demos.
- Bachelor’s degree required; a master’s degree in computer science, engineering, mathematics, or a related field, or equivalent work experience, is preferred.
- Hands-on experience with LLM orchestration, RAG, function calling, prompt engineering, evaluations, and guardrails is a plus.
- Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other open-source packages is a plus.
- Experience deploying and monitoring models at scale across AWS Bedrock, Azure AI, or GCP Vertex is a plus.
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 and generous PTO globally.
- Flexible hybrid work model balancing remote work with office collaboration.
- Learning framework, mentorship programs, and access to a dedicated learning platform.
- Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks.
- Paid time off for annual Impact Days and volunteering.
- Inclusion and belonging programs, including Inclusion Days and an Inclusion Think Tank.
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.