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Wissen Technology

Generative AI Architect

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W<\/b><\/span>issen Technology is Hiring fo<\/b><\/span>r<\/b><\/span> <\/b><\/span><\/span>Generative AI<\/b> <\/b><\/span><\/span>Architect<\/b><\/span><\/span> <\/b><\/span>
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About Wissen Technology: <\/b><\/span><\/span> <\/b><\/span>
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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\u2014ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with <\/span><\/span>2000+ employees<\/span> <\/span>across offices in the<\/span> <\/span>US, UK, UAE, India, <\/span><\/span>and <\/span><\/span>Australia<\/span>. Our commitment to excellence translates into delivering <\/span><\/span>2X<\/span> <\/span>impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, <\/span><\/span>cutting\-edge<\/span> <\/span>technology <\/span><\/span>expertise<\/span>, and a relentless focus on quality. We <\/span><\/span>don\u2019t<\/span> <\/span>just meet expectations\u2014we exceed them by ensuring faster time\-to\-market, reduced rework, and greater alignment with client <\/span><\/span>objectives<\/span>. We have a proven <\/span><\/span>track record<\/span> <\/span>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 <\/span><\/span>provide<\/span> <\/span><\/span>clients with<\/span> <\/span>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<\/span>ale<\/span>nt<\/span>. <\/span><\/span>Our mission is clear: to be the partner of choice for building world\-class custom products that deliver exceptional impact\u2014the first time, every time.<\/span><\/span> <\/span>
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Job Summary<\/b><\/span>:<\/b><\/span> <\/span><\/span><\/span>We are looking for an experienced <\/span><\/span><\/span>Generative AI Architect<\/span><\/span> <\/span>with 8\u201310 years of experience <\/span><\/span>to design<\/span> <\/span>and implement enterprise\-grade AI solutions. The role involves architecting and developing advanced systems in <\/span><\/span><\/span>Generative AI, NLP, Computer Vision, and cloud\-native AI platforms<\/span><\/span> <\/span>such as <\/span><\/span><\/span>Amazon Bedrock<\/span><\/span> <\/span>and <\/span><\/span><\/span>Google Vertex AI<\/span><\/span>. The ideal candidate will have strong hands\-on development skills, deep architectural <\/span><\/span>expertise<\/span>, and the ability to lead strategic AI initiatives across digital transformation, automation, and intelligent document processing.<\/span><\/span> <\/span>
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Experience: <\/span><\/b>8<\/span><\/span><\/span>\-<\/span> <\/span><\/span>10 y<\/span><\/span><\/span>ears<\/span><\/span><\/span> <\/span><\/span>
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Location:<\/b><\/span><\/span> <\/b><\/span><\/span><\/span> <\/b><\/span>Bangalore<\/span><\/span> <\/span>
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Mode of Work<\/b><\/span>:<\/b><\/span> <\/span><\/span><\/span>Full time<\/span> <\/span><\/span> <\/span>
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Key<\/b> <\/b><\/span><\/span>Responsibilities:<\/b><\/span><\/span> <\/b><\/span>
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  • Architect and deliver <\/span>end\-to\-end Generative AI solutions <\/span>for enterprise applications.<\/span><\/span> <\/span>
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  • Build and deploy <\/span>Computer Vision systems <\/span>for document understanding, object detection, and visual analytics.<\/span><\/span> <\/span>
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  • Develop and <\/span>optimize <\/span>LLM and NLP applications <\/span>including chatbots, summarization engines, knowledge assistants, and intelligent search.<\/span><\/span> <\/span>
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  • Implement <\/span>RAG pipelines <\/span>using vector databases and embedding models.<\/span><\/span> <\/span>
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  • Architect scalable, secure AI systems on <\/span>AWS <\/span>and <\/span>Google Cloud, <\/span>leveraging <\/span>Amazon Bedrock and Vertex AI.<\/span><\/span> <\/span>
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  • Design and manage <\/span>Vector Database architectures <\/span>(Pinecone, <\/span><\/span>Weaviate<\/span>, Milvus).<\/span><\/span> <\/span>
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  • Build robust <\/span>AI pipelines, APIs, and microservices <\/span>for enterprise integrations.<\/span><\/span> <\/span>
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  • Lead model training, tuning, evaluation, and <\/span>prompt engineering <\/span>processes.<\/span><\/span> <\/span>
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  • Ensure production\-grade <\/span>scalability, performance, and security <\/span>of AI systems.<\/span><\/span> <\/span>
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  • Collaborate with cross\-functional teams (data scientists, ML engineers, product teams).<\/span><\/span> <\/span>
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  • Mentor junior engineers and drive technical discussions with clients.<\/span><\/span> <\/span>
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  • Work independently with minimal supervision while leading critical project initiatives.<\/span><\/span> <\/span>
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    Requirements:<\/b><\/span><\/span> <\/b><\/span>
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    • 8\u201310 years of experience in <\/span>AI/ML, software engineering, or data science.<\/span><\/span> <\/span>
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    • Strong hands\-on experience with <\/span>Python <\/span>for AI/ML development.<\/span><\/span> <\/span>
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    • Expertise <\/span>in <\/span>Computer Vision <\/span>frameworks (OpenCV, TensorFlow, <\/span><\/span>PyTorch<\/span>).<\/span><\/span> <\/span>
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    • Strong understanding of <\/span>NLP and Large Language Models (LLMs).<\/span><\/span> <\/span>
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    • Practical experience implementing <\/span>RAG architectures, prompt engineering, and LLM orchestration (<\/span>LangChain<\/span>, <\/span><\/span>LlamaIndex<\/span>).<\/span><\/span> <\/span>
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    • Hands\-on experience with <\/span>Vector Databases <\/span>(Pinecone, <\/span><\/span>Weaviate<\/span>, Milvus).<\/span><\/span> <\/span>
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    • Experience deploying AI solutions on <\/span>AWS or Google Cloud.<\/span><\/span> <\/span>
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    • Familiarity with <\/span>Docker, Kubernetes, and cloud\-native <\/span><\/span>MLOps<\/span> <\/span>workflows.<\/span><\/span> <\/span>
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    • Experience designing <\/span><\/span>scalable APIs and <\/span><\/span>microservices<\/span> <\/span>architectures<\/span>.<\/span><\/span> <\/span>
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      Good To Have Sk<\/b><\/span>ills:<\/b><\/span> <\/b><\/span><\/span> <\/b><\/span>
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      • Experience with <\/span>enterprise document processing <\/span>and intelligent automation solutions.<\/span><\/span> <\/span>
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      • Prior experience integrating Generative AI with <\/span>enterprise knowledge bases <\/span>and workflows.<\/span><\/span> <\/span>
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      • Exposure to <\/span><\/span>MLOps<\/span> <\/span>pipelines, CI/CD, and model governance <\/span>frameworks.<\/span><\/span> <\/span>
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      • Domain experience in <\/span>BFSI, Retail, Enterprise Automation, or similar industries.<\/span><\/span> <\/span>
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      • Knowledge of <\/span>Responsible AI, data privacy, and ethical AI implementation.<\/span><\/span> <\/span>
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      • Familiarity with monitoring and observability tools for <\/span>AI model lifecycle management.<\/span><\/span> <\/span>
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        Wissen Sites:<\/b><\/span><\/span> <\/b><\/span>
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        Website: <\/span><\/span><\/span>www.wissen.com<\/span><\/span><\/a> <\/span><\/span> <\/span>
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        LinkedIn: <\/span><\/span><\/span>https://www.linkedin.com/company/wissen\-technology<\/span><\/span><\/a> <\/span><\/span> <\/span>
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        Wissen Leadership: <\/span><\/span><\/span>https://www.wissen.com/company/leadership\-team/<\/span><\/span><\/a> <\/span><\/span><\/p><\/div><\/span>