AI Systems Design Architect

Technogen India Pvt. Ltd.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Technogen India Pvt. Ltd. is seeking a senior AI solution architect with 8–14 years of experience to lead architecture across AI/ML systems, LLM deployments, and enterprise cloud solutions. The role emphasizes governance, security, observability, and scalable, API-driven integration across AWS, Azure, or GCP platforms.

The ideal candidate will drive architecture discussions, collaborate with stakeholders, and ensure robust, future-ready AI applications with strong governance.”

Qualifications

• Bachelor’s degree in CS, CIS, Engineering, Mathematics or related field; Master’s preferred.
• 8–14 years of experience in solution/enterprise/architecture for AI/ML.
• Strong hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
• Proven experience in cloud architecture and solution design on AWS, Azure, or GCP.
• Understanding of cloud-native services: compute, storage, networking, IAM, security, and AI/ML services.
• Expertise in API architecture, microservices, distributed systems, event-driven architecture, and integration patterns.
• Experience designing solutions with security, resiliency, scalability, observability, and performance in mind.
• Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
• Ability to lead architecture discussions and communicate complex concepts to tech/business stakeholders.
• Strong collaboration, problem-solving, and stakeholder management skills.

Skills

AI Solution Architecture

AI System Design

Generative AI

Machine Learning

LLM

RAG

Vector Databases

Prompt Engineering

Agentic AI

AI Governance

Responsible AI

Enterprise Architecture

Cloud Architecture

API Integration

Microservices

Distributed Systems

Event-Driven Architecture

DevSecOps

Observability

MLOps

Education

Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline

Master’s degree preferred

Tools

Kubernetes

Databricks

AWS

Azure

Google Cloud Platform (GCP)

Job description

Skills: AI Solution Architecture, AI System Design, Generative AI, Machine Learning, LLM, RAG, Vector Databases, Prompt Engineering, Agentic AI, AI Governance, Responsible AI, Enterprise Architecture, Cloud Architecture, AWS, Azure, Google Cloud, GCP, API Integration, Microservices, Distributed Systems, Event-Driven Architecture, DevSecOps, Observability, MLOps, Databricks, Kubernetes

Qualifications

• Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
• 8–14 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture.
• Strong hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
• Proven experience in cloud architecture and solution design on at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of cloud-native services including compute, storage, networking, identity and access management, security, and AI/ML services.
• Expertise in API architecture, microservices, distributed systems, event-driven architecture, and system integration patterns.
• Experience designing solutions with strong security, resiliency, scalability, observability, and performance considerations.
• Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
• Ability to lead architecture discussions and clearly communicate complex technical concepts to technical and business stakeholders.
• Strong collaboration, problem-solving, and stakeholder management skills.