Generative AI Architect

Wissen Technology is Hiring forGenerative AIArchitect

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don't just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: We are looking for an experienced Generative AI Architect with 8–10 years of experience to design and implement enterprise-grade AI solutions. The role involves architecting and developing advanced systems in Generative AI, NLP, Computer Vision, and cloud-native AI platforms such as Amazon Bedrock and Google Vertex AI. The ideal candidate will have strong hands-on development skills, deep architectural expertise, and the ability to lead strategic AI initiatives across digital transformation, automation, and intelligent document processing.

KeyResponsibilities:

• Architect and deliver end-to-end Generative AI solutions for enterprise applications.
  
• Build and deploy Computer Vision systems for document understanding, object detection, and visual analytics.
  
• Develop and optimize LLM and NLP applications including chatbots, summarization engines, knowledge assistants, and intelligent search.
  
• Implement RAG pipelines using vector databases and embedding models.
  
• Architect scalable, secure AI systems on AWS and Google Cloud, leveraging Amazon Bedrock and Vertex AI.
  
• Design and manage Vector Database architectures (Pinecone, Weaviate, Milvus).
  
• Build robust AI pipelines, APIs, and microservices for enterprise integrations.
  
• Lead model training, tuning, evaluation, and prompt engineering processes.
  
• Ensure production-grade scalability, performance, and security of AI systems.
  
• Collaborate with cross-functional teams (data scientists, ML engineers, product teams).
  
• Mentor junior engineers and drive technical discussions with clients.
  
• Work independently with minimal supervision while leading critical project initiatives.
  
  

Requirements:

• 8–10 years of experience in AI/ML, software engineering, or data science.
  
  
• Strong hands-on experience with Python for AI/ML development.
  
• Expertise in Computer Vision frameworks (OpenCV, TensorFlow, PyTorch).
  
• Strong understanding of NLP and Large Language Models (LLMs).
  
• Practical experience implementing RAG architectures, prompt engineering, and LLM orchestration (LangChain, LlamaIndex).
  
• Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus).
  
• Experience deploying AI solutions on AWS or Google Cloud.
  
• Familiarity with Docker, Kubernetes, and cloud-native MLOps workflows.
  
• Experience designing scalable APIs and microservices architectures.
  
  

Good To Have Skills:

• Experience with enterprise document processing and intelligent automation solutions.
  
• Prior experience integrating Generative AI with enterprise knowledge bases and workflows.
  
• Exposure to MLOps pipelines, CI/CD, and model governance frameworks.
  
• Domain experience in BFSI, Retail, Enterprise Automation, or similar industries.
  
• Knowledge of Responsible AI, data privacy, and ethical AI implementation.
  
• Familiarity with monitoring and observability tools for AI model lifecycle management.
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/