Nuralx Infotech
Artificial Intelligence Architect
AI architect designing Agentic AI solutions for telecom autonomous networks, enabling closed-loop automation for global CSPs across network/service assurance, fault, performance, and orchestration. Core stack: ML/deep learning, GenAI, multi-agent frameworks (LangGraph, LangChain), cloud AI platforms (AWS, Azure, GCP), Python/Java/C++, telecom data at scale.
- Compensation
- ₹3.5M–₹4.5M / yr
- Location
- Pune; Chennai; Bengaluru
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- 9–14 years of experience
Nice to have
- Experience working as an AI Technical Lead or Architect
- Working knowledge of machine learning, deep learning, recurrent learning, reinforcement learning, generative AI, and agentic AI techniques
- Experience designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment
- Good understanding of cloud platforms and their AI services (AWS, Azure, Google Cloud); deploying AI models on cloud-native platforms
- Experience architecting and deploying telco-specific AI applications such as network automation, service assurance, and customer analytics
- Strong grounding in AI/ML techniques relevant to telecom: anomaly detection, time-series analysis, causal inference, reinforcement learning, LLM-based reasoning
- Hands-on experience architecting Agentic AI/autonomous systems using multi-agent frameworks (LangGraph, LangChain, custom frameworks) in real operational workflows
- Deep understanding of telecom data models, KPIs, counters, alarms, and workflows across RAN, Core, Transport, and Services
- Programming experience in Python, Java, or C++ and familiarity with popular AI libraries
- Excellent problem-solving and analytical skills
- Experience architecting scalable AI systems in telco environments, proactively addressing performance bottlenecks
- Strong communication and teamwork skills for multi-functional teams
- Ability to stay updated with latest AI technologies, frameworks, and platforms
- Experience handling large datasets on data lakes and Kafka integration
Full description
Role Summary : Architecting Agentic AIdriven solutions that enable Telecom Autonomous Networks. The architect will work at the intersection of AI systems, telecom operations, and industry standards to drive closed-loop automation for global CSPs.
Role & responsibilities
- Collaborate with Business / Practice Units, Relevant Stakeholders, and Customers to understand business goals and determine AI requirements.
- Design and develop AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions, including Agentic AI systems capable of autonomous decision-making.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
- Own the development and implementation of AI models, ensuring consistency to standard processes in machine learning, deep learning, and Agentic AI frameworks.
- Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes.
- Lead the architecture and design of AI- and Agent-based solutions for Network Assurance, Service Assurance, Fault Management, Performance Management, Inventory, Provisioning, and Orchestration.
- Design and implement Agentic AI systems using multi-agent paradigms where agents perceive, reason, plan, act, and learn enabling closed-loop automation aligned to Autonomous Network levels
- Translate telecom operational intents (business, service, and network intents) into agent workflows, reasoning strategies and actions.
- Work deeply with Telecom data including KPIs, counters, alarms, logs, topology, configuration, traces, and tickets, and design architectures that handle scale, and real-time constraints.
- Participate in industry forums, working groups, and internal communities to shape Autonomous Network and Agentic AI direction.
Preferred candidate profile
- Expertise & Experience working as an AI Technical Lead or Architect, with working knowledge of machine learning, deep learning, Recurrent Learning, Reinforcement Learning, Generative AI, and Agentic AI techniques.
- Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
- Good understanding of cloud computing platforms & their AI services (e.g., AWS, Azure, Google Cloud) and experience in deploying AI models on cloud native platforms.
- Experience in Architecting and deploying Telco-specific AI applications, such as network automation, service assurance, and customer analytics etc.,