AI/ML Architect

Experience: 10–15 Years
Location: Hyderabad
Work Mode: On-site
Interview Mode: Face-to-Face (F2F)

Role Summary

We are looking for an experienced AI/ML Architect to lead the design, development, and deployment of enterprise-grade AI/ML and Generative AI solutions. The ideal candidate will have strong experience in Machine Learning, Conversational AI, NLP/NLU, LLMs, RAG, AIOps, DevOps/SRE, and enterprise system integration.

The candidate will work closely with business and technical stakeholders to identify AI/ML opportunities, architect scalable solutions, and lead technically complex projects from concept through implementation.

Key Areas of Focus

- Slackbots and Virtual Assistants

- Conversational AI

- Anomaly Detection

- Event Correlation

- AIOps for Infrastructure

- Smart Answers

- NLP/NLU

- LLMs and Generative AI

- Machine Learning and Advanced Analytics

Key Responsibilities

- Lead the end-to-end machine learning project lifecycle, from experimentation and design to deployment and production support.

- Architect and develop virtual assistants using Conversational AI technologies.

- Design and implement AI/ML solutions for enterprise use cases.

- Work with business stakeholders to identify business challenges that can be addressed using AI/ML.

- Lead the development of advanced analytics solutions across different functional areas.

- Design and implement AIOps solutions including clustering, classification, anomaly detection, event correlation, and capacity prediction.

- Leverage LLMs and Generative AI technologies for enterprise applications.

- Provide technical guidance and best practices on LLM and GenAI adoption, particularly for NLP and conversational use cases.

- Design conversational flows,



intents, entities, and dialogue experiences.

- Integrate conversational AI and bot systems with backend applications, databases, APIs, and web services.

- Lead complex and technically challenging AI/ML projects from concept to completion.

- Collaborate with DevOps/SRE teams to build reliable and scalable AI/ML solutions.

- Troubleshoot complex issues in distributed enterprise environments.

- Drive innovation and identify opportunities for high-impact AI/ML solutions.

- Mentor and provide technical guidance to engineering and AI/ML teams.

Required Skills

- 10–15 years of experience in AI/ML implementation and enterprise technology environments.

- Robust understanding of supervised and unsupervised learning, deep learning, anomaly detection, and time-series forecasting.

- Strong knowledge of LLMs, Generative AI, NLP, NLU, and Conversational AI.

- Strong programming experience in Python.

- Hands-on experience with Python libraries/frameworks such as Pandas, NumPy, TensorFlow or equivalent.

- Minimum 5 years of experience in designing, developing, and deploying conversational bots/virtual assistants.

- Strong experience in AIOps use cases such as:

- Anomaly Detection

- Clustering

- Classification

- Event Correlation

- Capacity Prediction

- Experience with Observability/Monitoring tools such as Prometheus, Splunk, Datadog,



and Grafana.

- Strong DevOps/SRE experience, preferably 5–7 years.

- Experience integrating AI/bot solutions with backend systems, databases, APIs, and web services.

- Strong troubleshooting and analytical skills in complex distributed environments.

- Excellent communication, presentation, stakeholder management, and collaboration skills.

- Ability to work independently and take ownership of complex technical initiatives.

Generative AI / LLM Skills

- LLM application development

- RAG architecture and implementation

- Prompt engineering

- LLM evaluation

- Hallucination reduction

- AI safety and guardrails

- LLM deployment and scaling

- Knowledge of fine-tuning techniques such as LoRA/adapters is desirable

- Experience with AI agents/Agentic AI is desirable

- Understanding of vector databases and semantic/hybrid search is desirable

Preferred Qualifications

- Experience building enterprise-grade Conversational AI platforms.

- Experience with RAG-based applications and LLM-powered assistants.

- Experience with AIOps/IT Operations analytics.

- Experience with observability platforms and infrastructure monitoring.

- Experience with cloud platforms and production AI/ML deployments.

- Experience with MLOps and model monitoring.

- Experience working in complex, distributed enterprise environments.

Soft Skills

- Strong problem-solving and analytical abilities.

- Excellent verbal and written communication.

- Strong stakeholder management skills.

- Ability to lead technical discussions and architecture decisions.

- Self-motivated and capable of working independently.

- Strong leadership and mentoring capabilities.

📌 AI/ML Architect (Hyderabad)
🏢 Altraize
📍 Hyderabad