Lead Solution Architect - Gen AI

Cloudwick Technologies; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Cloudwick Technologies in Bengaluru is looking for a senior technical leader to drive AI/LLMs integration across Amorphic AI Solutions, architect scalable systems on AWS, and build production-grade AI pipelines.

You will lead 5-10 engineers, mentor teams, and collaborate with global counterparts to deliver robust, cost-efficient AI software using LangChain, CrewAI, and REST APIs.

Qualifications

• 8+ years of experience in software development.
• Solid understanding of large language models (LLMs) and prompt engineering.
• Proven leadership in managing software teams.
• Strong Python programming skills.
• Experience with AWS services and cloud-native architectures.
• Experience with distributed systems, microservices, and CI/CD.

Responsibilities

• Lead integration of AI/LLMs into Amorphic AI Solutions for interoperability and performance.
• Design and architect scalable software systems for maintainability and performance.
• Architect production-grade RAG pipelines and multi-agent orchestration on AWS.
• Drive scalable AI pipelines design and implementation.
• Design, develop, test, and maintain backend apps using Python and AWS.
• Experiment with LangChain, Hugging Face Transformers, and CrewAI via prototypes.
• Optimize AI solution performance for cost, latency, and resource use.
• Develop monitoring strategies for production AI models.
• Lead 5-10 engineers through reviews and PR feedback.
• Conduct code reviews and design discussions following best practices.
• Collaborate with global teams to identify requirements.
• Create and maintain architecture/design documentation.

Skills

Python

AWS

LLMs

LangChain

CrewAI

Team leadership

CI/CD

REST APIs

Distributed systems

Software architecture

Education

BE / B.Tech in Computer Science

Tools

AWS Lambda

S3

DynamoDB

EMR

Bedrock

SageMaker

LangChain

Hugging Face Transformers

CrewAI

Job description

The candidate will have responsibilities across the following functions:

Technical Leadership:

• Lead the integration of cutting-edge AI/LLMs into Amorphic AI Solutions, ensuring seamless interoperability and optimal performance.
• Design and architect complex software systems with a focus on scalability, maintainability, and performance.
• Architect production-grade RAG pipelines and multi-agent orchestration on AWS (Lambda, ECS/Fargate, Bedrock, SageMaker, DynamoDB, S3 EventBridge, Step Functions).
• Drive the design and implementation of scalable AI pipelines.

Development and Innovation:

• Design, develop, test, and maintain scalable backend applications using Python and AWS services.
• Stay current with AI advancements through hands-on experimentation with emerging frameworks (LangChain, Hugging Face Transformers, CrewAI) via prototypes and side projects.
• Optimise AI solution performance focusing on cost-effectiveness, latency, and resource utilisation.
• Develop strategies for monitoring, maintaining, and improving deployed AI models in production.

Team Leadership:

• Lead 5-10 engineers through design reviews, pair-programming, and PR feedback.
• Conduct code reviews and design discussions to ensure adherence to best practices.
• Collaborate with cross-functional teams globally to identify requirements and implement solutions.
• Create and maintain comprehensive documentation for architecture, design decisions, and coding practices.

Requirements:

• BE / B. Tech in Computer Science or related field.
• 8+ years of experience in software development.
• Solid understanding of large language models (LLMs), including experience with prompt engineering, fine-tuning, or integrating LLM APIs (e. g., from OpenAI, Anthropic, or AWS Bedrock).
• Hands-on experience building AI solutions using the latest tools and frameworks (e. g., LangChain, crewAI), demonstrated through side projects, open-source contributions, or personal prototypes.
• Proven leadership experience in managing and mentoring high-performing teams of software and application developers.
• Exceptional proficiency in the Python programming language.
• Solid understanding of the AWS ecosystem, including Lambda functions, S3 buckets, EMR clusters, DynamoDB tables, etc.
• Proven experience in a leadership role, leading software development teams in the delivery of complex projects.
• Deep understanding of software architecture and design principles, with a focus on building scalable and maintainable systems.
• Experience with distributed systems, microservices architecture, and cloud-based solutions.
• Strong knowledge of software development best practices, including code reviews, testing, and CI/CD pipelines.
• Experience working with AWS services and developing Cloud Native Applications using REST APIs is a must-have.
• Experience working in an agile delivery environment, especially product engineering teams.