Gen AI Architect

Position:

Location:

Experience:

Gen AI Experience:

Immediate Joining

At Wise Work, we harness the power of futuristic AI to drive real business impact. This role is key to our mission of building intelligent, task-specific AI Agents and custom Large Language Models that accelerate productivity and power intelligent decision-making for our clients.

About the Role

Gen AI Architect

You will be responsible for creating transformative AI products across diverse enterprise domains (including BFSI and non-BFSI sectors) , with a strong emphasis on building scalable, secure, and ethical AI frameworks that move from concept to production.

What You'll Do (Key Responsibilities)

• Architect & Deliver:

  Design and deliver transformative AI products, leading the enterprise LLM/SLM strategy.

• Build Agentic Systems:

  Develop and implement advanced agentic systems, including multi-agent architectures and orchestration patterns.

• Lead MLOps & LLMOps:

  Implement full-lifecycle management for both traditional AI/ML and modern LLM agentic solutions to optimize performance and governance.

• Drive Strategy:

  Align the AI strategy and technology roadmaps with measurable business goals and outcomes.

• Democratize AI:

  Champion the use of low/no-code GenAI platforms to empower both business and technical users.

• Enable Teams:

  Drive the adoption of AI toolkits (like GitHub Co-Pilot) and AI bootcamps to empower employees.

• Data Monetization & Engineering:

  Lead data monetization programs to unlock new revenue streams and help automate the data engineering SDLC for AI/ML models

What We're Looking For (Required Qualifications)

• Overall Experience:

  12-18 years in the Data & Analytics space.

• Gen AI Experience:

  A minimum of 4-5 years in architecting enterprise AI/ML solutions.

• Hands-On LLM Experience:

  1-2+ years of hands-on experience with LLMs, agentic systems, and enterprise AI platforms.

• AI Application Experience:

  A minimum of 5 years of AI experience, including work on RAG, chatbots, and other Gen AI applications.

• Core Skills:

  Strong stakeholder management and executive communication skills.

• Technical Foundation:

  Expertise in designing data and analytics platforms using ETL and BI tools.

• Knowledge:

  Proficiency in ethical AI adoption, MLOps/LLMOps, and data monetization.

Preferred Qualifications (Nice to Have)

• Experience in advanced R&D or innovation teams.
• Certifications in Responsible AI, Advanced ML, or NLP.

If you are passionate about building scalable, ethical, and cutting-edge AI frameworks, we want to hear from you!

Apply Today: