AI Technical Architect

Qentelli LLC; Hyderabad; On-site; INR 3,000,000 - 8,000,000; Full time

Job summary

Qentelli LLC in Hyderabad, India seeks a highly skilled Technical Architect (AI Solutions) to lead design, architecture, and delivery of enterprise-grade AI/ML solutions. You will drive architecture decisions across backend, cloud-native systems, and distributed applications, ensuring scalability and security.

The role requires hands-on leadership, deep AI feasibility and solution-architecture expertise, plus experience with Node.js, microservices, NoSQL/SQL databases, and cloud platforms.

Qualifications

• 10+ years of software engineering or architecture experience.
• Expert in AI/ML solution architecture and end-to-end ownership.
• Experience designing and deploying enterprise-scale AI-enabled applications.
• Hands-on experience with Node.js backend architecture and development.
• Strong expertise in Microservices Architecture and distributed systems design.
• Experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar.
• Experience with Relational Databases such as PostgreSQL.
• Strong understanding of API design, API Gateway, RESTful services, and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Expertise in architecture governance, scalability planning, and solution reviews.
• Strong knowledge of security, authentication, authorization, and enterprise-grade application architecture.
• Experience designing highly available, fault-tolerant, and scalable systems.
• Excellent stakeholder management, problem-solving, and technical leadership skills.

Responsibilities

• Lead the architecture, design, and implementation of AI/ML-powered enterprise solutions from concept to production.
• Analyze business requirements and translate them into scalable, secure and maintainable AI-enabled technology architectures.
• Define and govern architecture standards, frameworks, and best practices across development teams.
• Design and implement microservices-based and distributed system architectures.
• Architect API-first solutions and integrate third-party AI/ML platforms, services, and enterprise applications.
• Drive AI feasibility studies, technology evaluations, and solution design decisions.
• Provide technical leadership throughout the solution lifecycle, including development, deployment, and optimization.
• Collaborate with product managers, data scientists, engineering teams, and business stakeholders to deliver AI initiatives.
• Design and optimize backend services using Node.js and related technologies.
• Develop integration strategies across cloud platforms, enterprise applications, and data ecosystems.
• Define event-driven architecture patterns and messaging solutions using Kafka or similar technologies.
• Ensure system reliability through observability, logging, monitoring, security, and fault-tolerance strategies.
• Conduct architecture reviews, technical assessments, code reviews, and governance activities.
• Mentor engineering teams and provide guidance on performance optimization, scalability, and best engineering practices.
• Contribute hands-on to critical architecture and development activities when required.

Skills

AI/ML architecture

Microservices design

Distributed systems

Node.js backend

NoSQL databases

PostgreSQL

APIs/REST

Cloud platforms

Security & governance

Architecture governance

Leadership & mentoring

Kafka/messaging

Docker & Kubernetes

MLOps/CI-CD

Generative AI/LLMs

Tools

MongoDB

DynamoDB

Cassandra

PostgreSQL

Kafka

RabbitMQ

AWS

Azure

GCP

Node.js

Docker

Kubernetes

TensorFlow

PyTorch

LangChain

Job description

Job Summary

We are seeking a highly skilled Technical Architect (AI Solutions) to lead the design, architecture, and implementation of enterprise-grade AI/ML solutions. The ideal candidate will possess strong expertise in AI feasibility assessment, solution architecture, backend engineering, cloud-native systems, and distributed application design. This role requires hands-on technical leadership, driving end-to-end AI solution delivery while ensuring scalability, security, performance, and integration across enterprise platforms.

Roles and Responsibilities

• Lead the architecture, design, and implementation of AI/ML-powered enterprise solutions from concept to production.
• Analyze business requirements and translate them into scalable, secure, and maintainable AI-enabled technology architectures.
• Define and govern architecture standards, frameworks, and best practices across development teams.
• Design and implement microservices-based and distributed system architectures.
• Architect API-first solutions and integrate third-party AI/ML platforms, services, and enterprise applications.
• Drive AI feasibility studies, technology evaluations, and solution design decisions.
• Provide technical leadership throughout the solution lifecycle, including development, deployment, and optimization.
• Collaborate closely with product managers, data scientists, engineering teams, and business stakeholders to deliver AI initiatives.
• Design and optimize backend services using Node.js and related technologies.
• Develop integration strategies across cloud platforms, enterprise applications, and data ecosystems.
• Implement scalable data storage solutions using NoSQL databases (MongoDB, DynamoDB, etc.) and relational databases such as PostgreSQL.
• Define event-driven architecture patterns and messaging solutions using Kafka or similar technologies.
• Ensure system reliability through observability, logging, monitoring, security, and fault-tolerance strategies.
• Conduct architecture reviews, technical assessments, code reviews, and governance activities.
• Mentor engineering teams and provide guidance on performance optimization, scalability, and best engineering practices.
• Contribute hands-on to critical architecture and development activities when required.

Mandatory Skills

• 10+ years of experience in software engineering, solution architecture, or technical architecture roles.
• Strong expertise in AI/ML solution architecture and end-to-end implementation ownership.
• Experience designing and deploying enterprise-scale AI-enabled applications.
• Hands-on experience with Node.js backend architecture and development.
• Strong expertise in Microservices Architecture and distributed systems design.
• Experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar.
• Experience with Relational Databases such as PostgreSQL.
• Strong understanding of API design, API Gateway, RESTful services, and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Expertise in architecture governance, scalability planning, and solution reviews.
• Strong knowledge of security, authentication, authorization, and enterprise-grade application architecture.
• Experience designing highly available, fault-tolerant, and scalable systems.
• Excellent stakeholder management, problem-solving, and technical leadership skills.

Preferred Skills

• Experience integrating Generative AI, LLMs, AI Agents, or Conversational AI solutions.
• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies.
• Experience with event streaming platforms such as Kafka, RabbitMQ, or AWS EventBridge.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with MLOps, CI/CD pipelines, and automated deployment strategies.
• Exposure to data engineering, data pipelines, and big data technologies.
• Experience working in Agile/Scrum product development environments.
• Cloud architecture certifications (AWS, Azure, or GCP) are an added advantage.
• TOGAF, Solution Architect, or Enterprise Architect certifications preferred.
• Strong experience in AI strategy, innovation initiatives, and emerging technology adoption.