Artificial Intelligence Architect

Nuralx Infotech; Pune District, Chennai, Bengaluru; Hybrid; INR 4,500,000 - 7,000,000; Full time

Job summary

Nuralx Infotech in Pune seeks an AI Technical Lead/Architect to drive agentic AI driven telecom automation. The role sits at the intersection of AI systems, telecom operations, and industry standards to push closed-loop automation for global CSPs.

You will design AI architectures, evaluate cloud platforms, and lead multi-agent implementations using LangGraph, LangChain, and cloud-native services. Strong telecom data experience is essential.

Qualifications

• 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.,
• Strong grounding in AI/ML techniques relevant to telecom operations including anomaly detection, time-series analysis, causal inference, reinforcement learning, and LLM-based reasoning
• Hands-on experience in Architecting and designing Agentic AI or autonomous systems using multi-agent frameworks (e.g., LangGraph, LangChain, custom agent frameworks) applied to real operational workflows
• Deep understanding of telecom data models, KPIs, counters, alarms, and operational workflows across RAN, Core, Transport, and Services
• Experience in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries
• Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
• Demonstrated experience in architecting scalable AI systems in Telco environments and that proactively address performance bottlenecks.
• Strong communication and teamwork skills, with the ability to work effectively within multi-functional teams.
• Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
• Should have handled larger datasets on data lakes, Kafka integration.
• Familiarity with AI governance frameworks and responsible AI practices
• Knowledge of ethical considerations and responsible AI practices is a plus.

Responsibilities

• Collaborate with Business Units, Stakeholders, and Customers to understand AI requirements.
• Design and develop AI architectures, frameworks, and algorithms for large-scale AI solutions, including agentic AI systems.
• Evaluate and select AI technologies, tools, and frameworks to achieve performance, accuracy, and scalability.
• Own the development and implementation of AI models, ensuring consistency to standard processes in ML, DL, and Agentic AI frameworks.
• Develop and maintain AI pipelines, including data cleaning, pre-processing, feature engineering, model training, and validation.
• Lead architecture and design of AI- and Agent-based solutions for Network/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.
• Translate telecom operational intents into agent workflows, reasoning strategies and actions.
• Work with telecom data including KPIs, counters, alarms, logs, topology, configuration, traces, and tickets, handling scale and real-time constraints.
• Participate in industry forums, working groups, and internal communities to shape Autonomous Network and Agentic AI direction.

Skills

AI architecture

Machine learning

Deep learning

Reinforcement learning

Generative AI

Agentic AI

Python

Java

C++

Cloud platforms

Telecom data & KPIs

Multi-agent frameworks

Problem solving

Communication & teamwork

Tools

LangGraph

LangChain

Custom agent frameworks

Job 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.,
• Strong grounding in AI/ML techniques relevant to telecom operations including anomaly detection, time-series analysis, causal inference, reinforcement learning, and LLM-based reasoning
• Hands-on experience in Architecting and designing Agentic AI or autonomous systems using multi-agent frameworks (e.g., LangGraph, LangChain, custom agent frameworks) applied to real operational workflows
• Deep understanding of telecom data models, KPIs, counters, alarms, and operational workflows across RAN, Core, Transport, and Services
• Experience in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries
• Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
• Demonstrated experience in architecting scalable AI systems in Telco environments and that proactively address performance bottlenecks.
• Strong communication and teamwork skills, with the ability to work effectively within multi-functional teams.
• Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
• Should have handled larger datasets on data lakes, Kafka integration.
• Familiarity with AI governance frameworks and responsible AI practices
• Knowledge of ethical considerations and responsible AI practices is a plus.