Atos · 12 hours ago
Artificial Intelligence Engineer
Atos is seeking an accomplished AI Engineer to lead the vision, architecture, and implementation of AI-driven capabilities. The role involves defining AI strategy, system design, and integration of AI components with existing microservices while mentoring technical teams and ensuring scalable solutions.
Responsibilities
Define and own the AI/ML architectural roadmap, system design, and end-to-end implementation strategy
Architect and implement AI capabilities such as:
Generative AI & RAG systems, embeddings, vector search
Semantic & NLP-based search across large-scale learning content
Recommendation systems for personalized learning paths
Conversational AI / Chatbots / AI Tutor
Content classification, auto-tagging, clustering
Predictive analytics and insight dashboards
Establish AI pipelines, MLOps governance, and model lifecycle management (training, deployment, monitoring, feedback loops)
Integrate AI solutions with Sunbird microservices, backend APIs, and Elasticsearch/vector DB infrastructure
Work closely with product leadership to translate requirements into scalable AI solutions
Mentor and guide AI developers, data scientists, and engineering teams
Ensure performance, observability, security, privacy, and responsible AI compliance
Evaluate and integrate next-generation models, cloud services, frameworks, and open-source tools
Support solution design and technical architecture documentation
Qualification
Required
10+ years of software engineering experience with at least 5 years in AI/ML system design & architecture
Deep expertise in NLP, Transformer models, LLMs, embeddings, vector search
PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex
RAG pipelines, semantic search, recommendation systems
Vector DBs: Milvus / Qdrant / Pinecone / Weaviate
MLOps (model deployment, CI/CD, monitoring, feature store)
Strong proficiency with Python, Java or Node.js, API development and microservices
Experience with Elasticsearch, distributed databases (Cassandra / Postgres)
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, cloud services (AWS/Azure/GCP)
Strong understanding of security, data privacy, responsible AI, and scalability in enterprise environments
Experience working with high-traffic, large-scale platforms
Company
Atos
Atos provides consulting services and solutions, ranging from supporting strategy development to enterprise solutions and technology.
Funding
Current Stage
Public CompanyTotal Funding
$2.05B2024-12-10Post Ipo Equity· $234.85M
2024-07-15Post Ipo Debt· $1.82B
2010-06-11IPO
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