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.
Your career with us:
Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development
What’s next?
Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application.
We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.
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