Job
Description
Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking an AI Solution Architect , to join our team based in Noida. Key Responsibilities Design and architect enterprise-grade AI solutions with emphasis on transformer architectures and generative AI systems Develop and implement strategies for training, fine-tuning, and deploying open-source LLMs (Large Language Models) Implement cost-efficient and low-latency architectures for LLM inference services Build secure API frameworks for generative AI data transmission, processing, and reception Design optimized pipelines for processing multimodal data including text, images, and video for vector embeddings Lead technical discovery sessions with stakeholders to translate business requirements into AI solution designs Create detailed technical specifications, reference architectures, and implement roadmaps Engineer scalable solutions capable of handling increased request volumes and data storage needs Develop MVPs from proof-of-concepts, accelerating the development of the lifecycle of AI products Provide technical leadership for AI development teams using agile methodologies About you: 8+ years of experience in software development with at least 5 years focused on AI/ML solutions Extensive experience with transformer-based models (Anthropic, GPT, T5, LLaMA, Mistral) and generative AI technologies Proven expertise in fine-tuning and deploying open-source LLMs for production environments Deep knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS) and retrievalaugmented generation Strong proficiency in the Azure AI ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Azure Cognitive Services Experience with LLM optimization techniques including quantization, distillation, and prompt engineering Expertise in designing and implementing secure API frameworks with JWT, OAuth, and API gateways Demonstrated ability to create low-latency, high-throughput AI systems using efficient orchestration Hands-on experience with containerization (Docker), orchestration (Kubernetes), and microservices architectures Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain Experience with MLOps practices and CI/CD pipelines for model deployment and monitoring Strategic thinking to align AI solutions with broader business objectives and customer needs Collaborative approach to problem-solving with adaptability to rapidly evolving technologies Preferred Qualifications Experience with multi-modal AI systems integrating vision and language capabilities Knowledge of embedding models (CLIP, SBERT, Ada) and their applications Expertise in RAG (Retrieval-Augmented Generation) architecture and implementations Experience with Azure Kubernetes Service (AKS) for model deployment Familiarity with vector search optimization and semantic caching strategies Background in implementing AI guardrails and safety measures for generative AI systems Experience with streaming inference and real-time AI processing Knowledge of distributed training techniques and infrastructure Expertise in GPU/TPU utilization optimization for AI workloads Experience with enterprise data governance and compliance requirements for AI systems Creative perspective for presenting AI strategies and roadmaps to stakeholders with illustrative flow diagrams & engaging content Customer-focused mindset with emphasis on delivering tangible business outcomes Intellectual curiosity and passion for staying current with emerging AI technologies and implementing PoC level solutions to accelerate and inculcate these solutions in development team.
