Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• This position is not eligible for visa sponsorship
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Compensation for this role

The standard base salary range for this position is 152,000 - 190,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior or Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate

Monitor and enable

• • Manage customer expectations and project planning
  • Demonstrate and train customers users (set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• (Senior) 4+ years working experience in IT-Consulting, Solution/Data Consulting or Process Improvement Consulting, within Software Vendors, Consulting firms or System integrators
• Demonstrated ability to translate business requirements into technical solutions (Data models) 
• You are knowledgeable of data related languages (SQL Required)
• Highly Preferred: Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• A strong appetite for value driven approaches (KPIs definition, business case calculations, value realization approaches) and Data topics (Big Data, Data Mining, and Process Mining)
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a strong plus. 
• Willing to develop a strong expertise on a solution through a continuous learning approach
• Strong consulting skills and enjoy interacting with various customers (Business workshops up to solution demonstrations)
• Excellent analytical skills, well-organized and you are known for being a quick learner
• Fluency in English
• Bachelors or Masters in: Technology Management, Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Position Overview

ATLAS SP is seeking a Senior Software Engineer to join our growing technology team and play a key role in building systems that power our core operations and accounting functions. This individual will work closely with business partners to design and deliver cash management platforms, warehousing systems, and data management solutions critical to the firm’s success. As part of a highly experienced development team, the Senior Software Engineer will collaborate with fellow technologists to build scalable, resilient systems to support the growth of the firm.

Primary Responsibilities

•    Design, code, test, and deploy enterprise software and scripts to support operations, product control, and accounting
•    Collaborate with the business and development teams to understand our data and processes
•    Partner with financial professionals on creating flexible systems that are both stable and provide transparency of business logic 

Required Qualification and Experience

•    5+ years of experience in technical roles in financial services
•    Relevant university degree
•    Experience in object-oriented programing and relational databases 
•    Experience with fixed income
•    Excellent oral and written communication skills
•    Ability to work well independently as well as collaboratively
•    Results oriented and commercial
•    Understanding of REST APIs and software design principles 

Preferred Qualification and Experience

•    Professional Experience with Python/Pandas 
•    Experience with mortgage finance or credit markets
•    Excel power user

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