Experience:

• 8-10 years of experience in software development
• 3+ years of hands-on experience delivering AI/ML solutions in production environments
• 5-8 Years

Role Focus:

• lead end to end delivery of AI powered solutions across cross functional teams
• building and deploying generative AI solutions using OpenAI compatible APIs

Nice to have:

• Experience publishing research or contributing to open source AI initiatives
• Experience designing AI systems for regulated or enterprise environments
• Strong understanding of AI governance, responsible AI practices, and compliance frameworks
• Prior experience mentoring technical teams or leading research initiatives

More skills:

RAG (Retrieval Augmented Generation) architectures, vector databases, semantic search, OCR pipelines, enterprise document processing, agentic AI frameworks, AI Foundry patterns, LangFuse style observability, enterprise search, Speech AI, Vision AI, supervised and unsupervised machine learning techniques, M365 Copilot, GenAI Consulting for Apps & Infra

Other:

• We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.
• Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process.
• AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to: Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity.