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This is based in Coimbatore South, Tamil Nadu.

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Senior Solutions Architect - AI

Augment

Coimbatore South, Tamil Nadu, India

Job Description:

We are looking for a “Senior Solution Architect” with strong hands-on coding expertise and experience designing and developing scalable, secure, and high-performance applications using modern technologies.

The ideal candidate should have a solid software engineering background, expertise in cloud-native architectures, and practical experience building and deploying AI agents and LLM-powered applications. This role requires a hands-on technical leader who can drive architecture decisions while actively contributing to development and implementation.

Key Responsibilities:

Design and implement scalable, secure, and high-performance software architectures aligned with business requirements.
Develop production-grade applications, APIs, microservices, and distributed systems using modern programming languages and frameworks.
Build and integrate AI agents, agentic workflows, and LLM-powered solutions into enterprise applications.
Implement AI capabilities such as tool calling, RAG, workflow orchestration, and integration with enterprise systems.
Evaluate and adopt emerging technologies, AI frameworks, and architectural patterns.
Lead technical design discussions, conduct code reviews, and establish engineering standards and best practices.
Collaborate with product managers, stakeholders, and engineering teams to translate business requirements into technical solutions.
Optimize application performance, scalability, reliability, and security.
Implement CI/CD pipelines, automated testing, monitoring, and DevOps practices.
Mentor developers and provide technical guidance throughout the software development lifecycle.

Required Technical Skills:

1. Software Development

Strong hands-on coding experience in one or more languages: Python, Java, C#, JavaScript, or TypeScript.
Excellent understanding of data structures, algorithms, object-oriented programming, and design patterns.
Experience developing, debugging, and optimizing production-grade applications. 2. Solution Architecture
Expertise in microservices, distributed systems, event-driven architecture, and RESTful APIs.
Experience designing scalable, highly available, and secure enterprise applications.
Knowledge of domain-driven design, system integration, and architectural documentation.3. AI Agents & Generative AI
Hands-on experience developing and deploying AI agents for real-world applications.
Strong understanding of LLMs, prompt engineering, tool calling, and agent orchestration.
Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
Knowledge of RAG, embeddings, vector databases, and enterprise data integration.
Understanding of AI agent evaluation, guardrails, security, and performance optimization.
Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or Google Gemini.4. Cloud & DevOps
Experience with AWS, Microsoft Azure, or Google Cloud Platform.
Knowledge of Docker, Kubernetes, CI/CD, and infrastructure as code.
Familiarity with automated testing, logging, monitoring, and deployment practices.5. Databases & Integration
Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, MongoDB, or Redis.
Knowledge of third-party API integrations and enterprise system connectivity.
Familiarity with Kafka, RabbitMQ, or similar messaging technologies is an advantage.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
10+ years of software development experience, including significant experience in solution architecture or technical leadership.
Proven track record of delivering production-ready applications using modern technology stacks.
Experience deploying and maintaining AI agent solutions in production environments.
Strong communication, problem-solving, and stakeholder management skills.

Key Requirement: Strong hands-on coding skills and practical experience developing AI agents are essential. Candidates with architecture-only experience and limited coding exposure will not be suitable.

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