Gen AI Architect

Wissen Technology is hiring forGen 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 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 seeking an experienced Gen AI Architect / AI‑First Solutions Engineer with 6–10 years of full‑stack engineering experience and deep hands‑on expertise in building production‑grade AI‑enabled systems. The role focuses on designing scalable AI frameworks, reusable RAG/agent architectures, and cloud‑native solutions that accelerate enterprise‑wide AI adoption. This position requires a builder mindset, strong system design skills, and the ability to enable engineering teams to deliver AI responsibly and at scale.

Experience: 6- 10 Years

Location:Bangalore/Mumbai

Mode of Work: Hybrid

Key Responsibilities:

• Design and deliver production‑grade AI‑enabled applications using modern full‑stack and cloud‑native architectures.
  
• Build reusable AI frameworks, reference architectures, RAG pipelines, agent workflows, and document processing systems.
  
• Integrate AI into enterprise systems with strong engineering practices—clean code, automation, observability, reliability.
  
• Apply GenAI patterns including RAG, prompt orchestration, agentic workflows, evaluation, and guardrails.
  
• Develop model‑agnostic solutions resilient to rapidly evolving AI ecosystem changes.
  
• Simplify complex AI implementations into repeatable, scalable patterns for wider organizational adoption.
  
• Mentor engineering teams, lead architecture/design reviews, and enable AI‑first delivery across projects.
  
• Own and enforce DevOps best practices—CI/CD, automated testing, telemetry, monitoring.
  
• Collaborate with product, cloud, and engineering teams to define requirements and deliver milestones.
  
• Remove architectural bottlenecks and accelerate delivery of AI solutions from prototype to production.
  
  

Required Skills and Qualification

• 6–10 years of experience building production‑grade, full‑stack, cloud‑native systems.
  
  
• Proven experience delivering AI/GenAI applications in production (not just POCs).
  
• Expertise in RAG, LLM integration/orchestration, prompt engineering, evaluation, and guardrails.
  
• Strong foundation in system design, distributed systems, scalability, resiliency, security, and observability.
  
• Hands‑on proficiency in Java and/or Python with modern backend frameworks.
  
• Experience with APIs, event‑driven systems, microservices, data systems, and cloud‑native patterns.
  
• Strong DevOps capabilities: CI/CD, automated testing, monitoring, logging, and reliability engineering.
  
• Excellent technical communication and an AI‑first builder mindset.
  
  

Good to have Skills

• Experience with public cloud platforms (Azure preferred; AWS/GCP beneficial).
  
• Background in building internal platforms, reusable frameworks, or developer tooling.
  
• Familiarity with vector databases, embeddings, Kafka, high‑volume messaging systems.
  
• Experience working in regulated or financial services environments.
  
• Experience collaborating with globally distributed engineering teams.