Architect-Python + GenAI

Experience –  10-15 Years 

Location- Bangalore, Chennai, Hyderabad, Noida

Job Title - Architect or Senior Architect

Role - Artificial intelligence (AI)

About us: 

Qualitest, The World’s Leading AI-Powered Quality Engineering Company

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR.

Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity.

A pioneer and innovator in its industry, Qualitest has been recognized in the highest Leader position in Everest Group's Quality Engineering Services for Mid-market Enterprises PEAK Matrix® Assessment 2024 report and has also been recognized as a Leader in The Forrester Wave™️: Continuous Automation and Testing Services Q2 2024 report.

Qualitest has offices in the United States, United Kingdom, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina

Job Overview:

We are seeking a Generative 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. The ideal candidate will combine deep technical expertise in AI/ML systems with proven experience in enterprise architecture, ensuring solutions are scalable, secure, compliant, and aligned with business goals.

This role involves defining the technical roadmap for Generative AI initiatives, selecting and integrating AI frameworks, orchestrating model lifecycle management, and guiding cross-functional teams to deliver production-ready GenAI solutions. You will be the go-to expert for translating high-level business needs into robust, future-proof AI architectures.

Role & Responsibility

• Architect GenAI Systems – Design and evolve architectures for LLM-powered applications, RAG workflows, multi-agent AI, and vector search integration.
• Technology Evaluation – Select and recommend AI frameworks, vector databases (Weaviate, Pinecone, Milvus), and orchestration tools (LangChain, LangGraph) that meet performance, scalability, and compliance needs.
• Prompt & Model Strategy – Define prompt engineering standards, fine-tuning approaches, and model governance guidelines for consistent and reliable outputs.
• Scalable API Design – Architect secure, high-performance RESTful APIs (e.g., FastAPI) for AI service integration.
• Data Architecture – Oversee the design and preparation of large, complex datasets (structured/unstructured) for training, fine-tuning, and inference.
• Cloud AI Integration – Architect and deploy AI workloads on AWS (Bedrock, SageMaker), Azure (OpenAI, ML), or GCP (Vertex AI) with multi-cloud readiness.
• Security & Compliance – Ensure solutions adhere to enterprise security policies, AI governance frameworks, and data privacy regulations (GDPR, HIPAA, SOC 2).
• Performance Optimization – Implement GPU optimization, model quantization, caching strategies, and distributed inference for real-time workloads.
• Leadership & Mentorship – Guide engineering and data science teams on best practices in GenAI architecture, scalability, and ethical AI.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 10+ years in software development/architecture, with 3+ years in AI/ML and at least 2 years in Generative AI system design.
• Proven experience architecting and deploying enterprise-scale LLM-based applications.
• Expertise in RAG techniques, vector database design, and semantic search optimization.
• Strong Python proficiency and familiarity with other enterprise languages (Java, C#, Go).
• Proficiency with Generative AI libraries and frameworks (LangChain, Hugging Face, Transformers).
• In-depth knowledge of REST API design, microservices, and event-driven architecture.
• Hands-on with multi-cloud AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Experience in MLOps, CI/CD automation (Azure DevOps, GitHub Actions, Jenkins, GitLab CI).
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Prior work with regulated industry data (finance, healthcare, insurance).
• Experience integrating multi-modal AI (text, image, audio, video) into enterprise solutions.
• Familiarity with open-source LLMs (LLaMA, Mistral, Ollama).
• AI and cloud architecture certifications (AWS ML Specialty, Azure AI Engineer Associate).

Mode - Hybrid