AI Engineer: Predictive and Generative AI Use Case Developer in Finance

AI Engineer: Predictive and Generative AI Use Case Developer in Finance - Celonis

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Team:

In our AR team at Celonis, we prioritize the timely collection of payments, fostering client relationships, and maintaining financial integrity. Much like Celonis’ Execution Applications tailored for specific business needs, we optimize our daily operations. Automation through Action Flows is key to driving value realization, mirroring our commitment to efficiency and excellence.

The Role:

As an AI Engineer specializing in predictive and general AI use cases within the Finance domain, with an added dimension of Copilot development / integration, you will play a crucial role in developing cutting-edge solutions that combine the power of artificial intelligence with the assistance of language model technologies like Copilot. Your responsibilities will encompass identifying, designing, and implementing AI-driven solutions that leverage Copilot's capabilities to enhance code generation, streamline development workflows, and accelerate innovation in Finance applications. By harnessing the collective intelligence of human expertise and machine intelligence, you will contribute to the advancement of intelligent automation and decision support systems, empowering financial institutions to navigate complex challenges with agility and efficiency.

The work you’ll do:

Collaborate with stakeholders to identify and prioritize use cases for predictive and general AI applications in the Finance domain, with a focus on integrating Copilot to augment development processes and enhance productivity.

Research, design, and develop AI models and algorithms tailored to address specific business challenges in Finance, leveraging Copilot's natural language understanding capabilities to assist in code generation, debugging, and documentation tasks.

Work closely with software engineers, data scientists, and domain experts to integrate Copilot into existing development environments and workflows, providing guidance on best practices, customization options, and potential use cases for maximizing its utility.

Explore innovative ways to leverage Copilot for automating repetitive tasks, accelerating prototyping efforts, and improving code quality, while maintaining a strong emphasis on security, compliance, and scalability.

Collaborate with the Copilot team to provide feedback, contribute to product enhancements, and participate in pilot programs or beta testing initiatives aimed at shaping the future of AI-assisted development tools.

Evaluate the performance of Copilot-integrated solutions in real-world scenarios, monitoring key metrics related to productivity, code quality, and developer satisfaction, and iterating on improvements to optimize outcomes over time.

Stay abreast of advancements in AI research, natural language processing techniques, and emerging technologies related to Copilot and similar language model platforms, incorporating relevant insights into solution development and strategic planning.

Actively contribute to a culture of innovation, knowledge sharing, and continuous learning within the AI engineering team, fostering a collaborative and inclusive environment for personal and professional growth.

The qualifications you need:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field; advanced degrees and certifications in AI/ML are preferred.

Proven experience in developing AI solutions for Finance applications, with a strong portfolio showcasing successful use cases in predictive modeling, natural language processing, computer vision, or related domains.

Proficiency in programming languages such as Python, R, or Java, as well as libraries/frameworks commonly used in AI/ML development (e.g., TensorFlow, PyTorch, scikit-learn).

Solid understanding of statistical analysis, machine learning algorithms, and data visualization techniques, with the ability to translate complex concepts into actionable insights for non-technical stakeholders.

Familiarity with data management principles, including data wrangling, feature engineering, and model deployment, preferably in cloud-based environments (e.g., AWS, Azure, GCP).

Excellent problem-solving skills, analytical thinking, and attention to detail, with a track record of delivering high-quality solutions under tight deadlines.

Strong communication and collaboration skills, with the ability to effectively engage with diverse teams and influence decision-making processes through data-driven recommendations.

Passion for innovation, curiosity to explore new technologies, and commitment to continuous self-improvement in the field of AI engineering and Finance.

Demonstrated proficiency in leveraging language model technologies like Copilot or similar AI-powered code generation tools, with a strong understanding of their capabilities, limitations, and potential applications in software development.

Experience in integrating Copilot into development workflows using popular version control systems (e.g., GitHub, GitLab), integrated development environments (IDEs), and other relevant tools and platforms commonly used in software engineering.

Familiarity with software development methodologies (e.g., Agile, DevOps) and best practices for collaborative coding, code review, and continuous integration/continuous deployment (CI/CD) pipelines, with a focus on optimizing efficiency and maintaining code quality standards.

Passion for exploring the intersection of artificial intelligence, natural language processing, and software engineering, with a keen interest in leveraging emerging technologies to drive innovation and solve complex problems in the Finance domain.

If you are enthusiastic about leveraging AI to revolutionize the Finance industry and thrive in a dynamic, fast-paced environment, we encourage you to join our team and make a meaningful impact on the future of financial services.

What Celonis can offer you:

The unique opportunity to work with industry-leading process mining technology
Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)
Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more)
Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)
A global and growing team of Celonauts from diverse backgrounds to learn from and work with
An open-minded culture with innovative, autonomous teams
Business Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more)
A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future

About Us

Since 2011, Celonis has helped thousands of the world's largest and most valued companies deliver immediate cash impact, radically improve customer experience and reduce carbon emissions. Its Process Intelligence platform uses industry-leading process mining technology and AI to present companies with a living digital twin of their end-to-end processes. For the first time, everyone in an organisation has a common language about how the business works, visibility into where value is hidden and the ability to capture it. Celonis is headquartered in Munich (Germany) and New York (USA) and has more than 20 offices worldwide.

Join us as we make processes work for people, companies and the planet.

Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Different makes us better.

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Last updated: 7 days ago