Job Description:

Job Description
Position –Graph DB Expert
About the Role
We are seeking a highly skilled and innovative Graph Database Expert with deep expertise in Neo4j, AI/ML,
and enterprise-level Retrieval-Augmented Generation (RAG) solutions to join our Innovation Program Team.
This role focuses on designing and developing cutting-edge Proof-of-Concept (POC) solutions that leverage
graph database technologies, Large Language Models (LLMs), and Azure AI services to address complex and
experimental business challenges.
The ideal candidate is a problem solver with a passion for rapid prototyping, driving innovation, and delivering
value in a fast-paced environment. This role requires both technical expertise and the ability to collaborate
eAectively with cross-functional teams to conceptualize and deliver impactful solutions.
Key Responsibilities
1. Graph Database Development and Optimization - Design, implement, and optimize graph database solutions using Neo4j and other graph database
technologies. - Develop and maintain graph-based data models, algorithms, and schemas to solve complex relationship
and data connectivity challenges. - Write and optimize Cypher queries for eAicient data retrieval and analysis. - Leverage graph database capabilities to build knowledge graphs and GraphRAG (Graph-based Retrieval
Augmented Generation) solutions.
2. AI/ML and LLM Integration - Develop and integrate AI/ML models with graph databases to enhance analytics, recommendations, fraud
detection, and knowledge exploration. - Implement enterprise-grade RAG solutions that combine LLMs (e.g., OpenAI, Azure OpenAI) with graph
databases for advanced information retrieval. - Explore and integrate Azure AI Foundry services and other cloud-based AI tools to support POC
development. - Apply traditional AI/ML techniques alongside LLMs to solve business problems holistically.
TechnipEnergies | General | Anyone - No Protection
3. POC Development and Innovation - Development of Proof-of-Concept (POC) projects to validate innovative ideas and emerging technologies. - Rapidly prototype solutions in a fast-paced environment to deliver quick value for business stakeholders. - Collaborate with stakeholders to define POC objectives, success criteria, and deliverables. - Stay updated on the latest trends in graph databases, LLMs, and AI/ML technologies to identify
opportunities for innovation.
4. System Architecture and Integration - Design scalable, eAicient, and secure system architectures that integrate graph databases with Azure
services, APIs, and other enterprise systems keeping in account the reusability in MVPs in future. - Ensure seamless integration of AI/ML models and graph databases into existing workflows and platforms.
5. Collaboration and Communication - Work closely with data scientists, engineers, and business stakeholders to understand requirements and
deliver impactful solutions. - Present findings, solutions, and POC outcomes to both technical and non-technical audiences in a clear
and compelling manner.
6. Documentation and Best Practices - Maintain clear and comprehensive documentation of data models, algorithms, and processes. - Establish and promote best practices for graph database development, AI/ML integration, and innovation
projects.
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Required Skills and Qualifications
Technical Expertise - Minimum 4-5 years of hands-on experience with Neo4j, including designing, implementing, and
optimizing graph database solutions. - Proficiency in writing and optimizing Cypher queries. - Strong understanding of graph theory, graph algorithms, and their applications in AI/ML. - Experience with enterprise-level RAG and GraphRAG solutions. - Proficiency in programming languages such as Python, or similar, with a focus on AI/ML and data
engineering. - Familiarity with Azure services (e.g., Azure AI, Azure Cognitive Services, Azure AI Foundry). - Experience with LLMs (e.g., OpenAI, Azure OpenAI) and their integration into enterprise solutions. - Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Problem-Solving and Innovation - Proven ability to solve complex problems using graph databases, AI/ML, and innovative approaches. - Demonstrated experience in developing POCs and rapidly prototyping solutions.
Cloud and Big Data - Experience with cloud platforms like preferably Azure and their data services. - Familiarity with big data technologies (e.g., Apache Spark, Hadoop) is a plus.
Soft Skills - Strong analytical and critical thinking abilities. - Excellent communication and presentation skills, with the ability to explain technical concepts to non
technical audiences. - Comfortable working in a fast-paced, collaborative environment with tight deadlines.
Preferred Qualifications - Experience with knowledge graphs and semantic web technologies. - Understanding of natural language processing (NLP) and its integration with graph databases. - Previous experience developing graph solutions for EPC domain - Certifications in Neo4j, Azure AI, or related technologies
TechnipEnergies | General | Anyone - No Protection
Additional Notes
The role is ideal for someone who thrives in an experimental environment and is eager to tackle complex,
unstructured problems. The ability to rapidly prototype and deliver results while exploring emerging
technologies is critical to success in this position.