About the Role

Bacancy is looking for an experienced Technical Architect AI/ML to design and drive the architecture of scalable, secure, high-performance software solutions powered by Artificial Intelligence and Machine Learning.

The ideal candidate will have 12+ years of experience in software engineering and technical architecture, with strong expertise in designing enterprise-grade applications and a deep understanding of AI/ML, Generative AI, LLMs, cloud technologies, distributed systems, APIs, microservices, and modern software architecture.

The role requires a solid combination of technical depth, architectural thinking, hands-on problem-solving, and technical leadership. You will work closely with engineering teams, technology leadership, and clients to define technical strategies and transform complex business requirements into scalable technology solutions.

Key Responsibilities

- Design and define end-to-end technical architectures for complex enterprise applications with AI/ML capabilities.
- Translate business and functional requirements into scalable, secure, and maintainable technical solutions.
- Define High-Level Design (HLD), Low-Level Design (LLD), architecture patterns, technology stacks, APIs, integrations, and data flows.
- Architect AI/ML-enabled applications incorporating Generative AI, LLMs, NLP, Computer Vision, Machine Learning, and Deep Learning.
- Design solutions involving LLMs, RAG, embeddings, vector databases, AI agents, model inference, fine-tuning, and AI orchestration.
- Evaluate emerging technologies and select appropriate frameworks, platforms, tools, and cloud services.
- Define scalable architectures using microservices, event-driven architecture, distributed systems, serverless, and API-driven architectures.
- Design cloud-native solutions across AWS, Microsoft Azure,



and/or Google Cloud Platform.
- Establish technical standards, architecture principles, coding practices, security standards, and engineering best practices.
- Work closely with developers, AI/ML engineers, data scientists, DevOps engineers, and product teams to ensure architectural alignment.
- Conduct architecture reviews, code/design reviews, technical assessments, and technology evaluations.
- Identify technical risks, scalability challenges, performance bottlenecks, and architectural dependencies and define mitigation strategies.
- Lead technical POCs and prototypes to validate architecture and technology choices.
- Ensure solutions are designed for security, scalability, reliability, performance, observability, and maintainability.
- Mentor and guide senior developers, technical leads, architects, and engineering teams.
- Participate in client-facing technical discussions, workshops, architecture presentations, and solution discussions.
- Contribute to pre-sales, technical proposals, estimations, solution approaches, and technical roadmaps when required.

AI/ML Responsibilities

- Architect and guide implementation of Generative AI and LLM-based solutions.
- Design enterprise RAG architectures, including document ingestion, chunking, embeddings, retrieval, reranking, and response generation.
- Define architecture for AI Agents and Agentic AI workflows.
- Evaluate and integrate models from platforms such as OpenAI, Azure OpenAI,



Anthropic, Google, Hugging Face, and other relevant providers.
- Design AI/ML systems with appropriate model selection, inference, evaluation, monitoring, and lifecycle management.
- Define MLOps/LLMOps architecture for deploying and managing AI/ML workloads in production.
- Address AI-specific concerns including hallucination, model evaluation, security, privacy, governance, cost optimization, and responsible AI.
- Work with data teams to define data pipelines and architectures required for AI/ML applications.

Required Technical Skills

- 12+ years of experience in software engineering, technical architecture, or solution architecture.
- Strong experience designing enterprise-scale software architectures.
- Strong knowledge of Software Architecture, System Design, Design Patterns, SOLID principles, distributed systems, and scalability.
- Strong understanding of AI/ML and Generative AI technologies.
- Hands-on experience with LLMs, RAG, embeddings, vector databases, prompt engineering, AI agents, and model integration.
- Strong programming experience in Python and/or other modern programming languages.
- Experience with REST APIs, GraphQL, microservices, event-driven architecture, messaging, and system integrations.
- Strong knowledge of databases, data platforms, caching, search, and distributed data systems.
- Experience with AWS, Azure, and/or GCP.
- Experience with Docker, Kubernetes, CI/CD, Git, and DevOps practices.
- Understanding of MLOps/LLMOps and production deployment of AI/ML systems.
- Strong understanding of application security, authentication, authorization, data privacy, and cloud security.
- Experience designing highly available, fault-tolerant, and performance-optimized systems.

📌 AI/ML Technical Architect (Ahmedabad)
🏢 Bacancy Technology
📍 Ahmedabad