Software Architect

Tekion Corp; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Tekion Corp in Bengaluru is seeking an experienced AI Software Architect to build and scale AI-powered enterprise applications on the cloud. The ideal candidate will have 12+ years of software engineering experience with strong expertise in AI/Generative AI and a proven track record in architecting and delivering scalable solutions.

The role involves leading engineering teams and collaborating across various disciplines to solve complex business problems through innovation. Strong coding skills in Java and hands-on experience with various cloud technologies are essential.

Qualifications

• 12+ years of software engineering experience.
• Strong expertise in AI/Generative AI.
• Proven experience architecting and scaling large systems.

Responsibilities

• Build and scale next-generation AI-powered enterprise applications.
• Lead and mentor AI/ML engineering talent.
• Collaborate across Product, Design, Data, and Engineering teams.

Skills

Java and object-oriented programming

Architecting large engineering systems

Production-grade LLM implementations

Spring Boot

Kafka

MongoDB

MySQL

AWS

ELK Stack

Cloud-native technologies

Job description

AI Software Architect / Engineering Leader

At Tekion, we are looking for an experienced and hands‑on AI Software Architect to build and scale next-generation AI‑powered enterprise applications on the cloud.

We’re seeking technology leaders with 12+ years of software engineering experience and strong expertise in AI/Generative AI, who are passionate about solving complex business problems through innovation and scalable architecture.

What We’re Looking For:

• Strong hands‑on coding expertise in Java and object‑oriented programming
• Proven experience architecting and scaling large engineering systems and teams
• Deep expertise in production‑grade LLM implementations including RAG architectures, prompt engineering, agentic AI workflows, tool‑calling, evaluation, and observability
• Strong experience with Java, Spring Boot, Kafka, MongoDB, MySQL, AWS, ELK Stack, and cloud‑native technologies
• Solid understanding of distributed systems, API design, CI/CD, and production operations
• Experience building large‑scale enterprise platforms across eCommerce, manufacturing, supply chain, ERP, or similar domains
• Track record of architecting and delivering AI‑powered product features in production environments
• Strong collaboration skills across Product, Design, Data, and Engineering teams
• Ability to hire, mentor, and grow top AI/ML engineering talent

Nice to Have:

• Experience in automotive, ERP, or vertical SaaS platforms
• Exposure to microservices and cloud‑native scalable architectures
• Contributions to open‑source AI/ML initiatives or applied AI research
• Experience with ML infrastructure including model serving, experimentation, feature stores, and A/B testing
• Understanding of responsible AI practices including bias mitigation, privacy, auditability, and hallucination reduction