Wissen Infotech
Website:
wissen.com
Job details:
W issen Technology is Hiring fo r Generative AI Architect
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 t ale nt . 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.
Experience: 8 - 10 y ears
Location: Bangalore
Mode of Work : Full time
Key Responsibilities:
- Architect and deliverend-to-end Generative AI solutionsfor enterprise applications.
- Build and deployComputer Vision systemsfor document understanding, object detection, and visual analytics.
- Develop andoptimizeLLM and NLP applicationsincluding chatbots, summarization engines, knowledge assistants, and intelligent search.
- ImplementRAG pipelinesusing vector databases and embedding models.
- Architect scalable, secure AI systems onAWSandGoogle Cloud,leveragingAmazon Bedrock and Vertex AI.
- Design and manageVector Database architectures(Pinecone, Weaviate , Milvus).
- Build robustAI pipelines, APIs, and microservicesfor enterprise integrations.
- Lead model training, tuning, evaluation, andprompt engineeringprocesses.
- Ensure production-gradescalability, performance, and securityof 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 inAI/ML, software engineering, or data science.
- Strong hands-on experience withPythonfor AI/ML development.
- ExpertiseinComputer Visionframeworks (OpenCV, TensorFlow, PyTorch ).
- Strong understanding ofNLP and Large Language Models (LLMs).
- Practical experience implementingRAG architectures, prompt engineering, and LLM orchestration ( LangChain , LlamaIndex ).
- Hands-on experience withVector Databases(Pinecone, Weaviate , Milvus).
- Experience deploying AI solutions onAWS or Google Cloud.
- Familiarity withDocker, Kubernetes, and cloud-native MLOps workflows.
- Experience designing scalable APIs and microservices architectures .
Good To Have Sk ills:
- Experience withenterprise document processingand intelligent automation solutions.
- Prior experience integrating Generative AI withenterprise knowledge basesand workflows.
- Exposure to MLOps pipelines, CI/CD, and model governanceframeworks.
- Domain experience inBFSI, Retail, Enterprise Automation, or similar industries.
- Knowledge ofResponsible AI, data privacy, and ethical AI implementation.
- Familiarity with monitoring and observability tools forAI 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/
Click on Apply to know more.