Qualitest is looking for a Gen AI Architect to lead the design, architecture, and delivery of enterprise-grade AI solutions powered by Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG) pipelines to solve business problems and advance their career
Requirements
- 12+ years in software engineering, solution architecture, or digital transformation roles
- 5+ years of hands-on experience in AI/ML, NLP, or Generative AI system design
- Deep knowledge of LLMs, vector databases, and orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.)
- Strong understanding of RAG architecture, fine-tuning (LoRA/QLoRA), embeddings, and prompt engineering
- Expertise in cloud-native AI platforms — Azure OpenAI, AWS Bedrock, Vertex AI, or similar
- Proven ability to integrate AI models into enterprise systems using APIs, microservices, and event-driven architectures
- Extensive Agentic AI, Gen AI app testing experience with dev background
Responsibilities
- Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines
- Design and implement scalable AI microservices and APIs integrated into existing enterprise ecosystems (Azure, AWS, GCP)
- Lead PoCs and pilot implementations for AI-first use cases such as intelligent automation, code generation, knowledge assistants, and predictive analytics
- Define Agentic AI assurance process, methodology and framework for clients based on their agentic systems
- Define and evolve the organization’s AI architecture strategy, focusing on scalability, security, and ethical AI principles
- Introduce emerging Gen AI frameworks (LangChain, LangGraph, CrewAI, OpenAI Agents SDK, etc.) to enable multi-agent orchestration and intelligent workflow automation
- Build reusable AI accelerators, tools, and frameworks to standardize model deployment, evaluation, and governance
Other
- Excellent communication, storytelling, and client engagement skills — able to translate AI concepts into business value
- Strong leadership in cross-functional environments involving AI research, engineering, and business stakeholders
- Prior experience leading enterprise AI transformations or building Gen AI Centers of Excellence
- Experience implementing agentic AI systems, AI copilots, or autonomous agents in real-world business scenarios
- Certifications in AI/ML, cloud architecture (Azure/AWS/GCP), or Responsible AI practices
