2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Lead AI discovery and solutioning by translating customer strategies and business challenges into Celonis-based AI solutions.
- Run customer hackathons and rapidly prototype solutions using AI technologies.
- Enable agentic process transformation and help customers achieve measurable ROI from AI deployments at scale.
- Execute business-critical Proof-of-Value projects end to end, including architecture and delivery of secure, scalable LLM and agent systems.
- Integrate solutions with enterprise data, identity, and compliance frameworks using RAG, tools, and guardrails.
- Remain involved through implementation, adoption, and value realization until agreed project thresholds are reached.
- Present solution value, prototypes, and business outcomes to executives and other stakeholders.
- Develop domain or industry specialization and share knowledge across the organization.
Requirements
- At least 6 years of experience leading technical pre-sales, including AI roadmaps, ROI/TCO business cases, and machine learning or generative AI prototypes.
- Understanding of generative AI techniques including RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, and fine-tuning.
- Understanding of business processes across sectors such as supply chain and finance, with the ability to translate business needs into AI use cases.
- Good knowledge of Python and common machine learning libraries including LangChain, pandas, pydantic, scikit-learn, and PyTorch, plus 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 building agentic systems with LLM orchestration, RAG, function calling, prompt engineering, evaluations, and guardrails is a strong 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 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 annual Impact Days for community and environmental volunteering.
- Inclusion Think Tank and annual Inclusion Days.
- Mission-led work focused on process intelligence, AI-driven operations, customer value, and sustainability.
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.