Gen AI Architect

4 days ago


bangalore, India LTIMindtree Full time

Job Description: Enterprise AI Architect (for Data & AI practice)Role Overview:Drive enterprise-scale AI strategy, architecture, and delivery—enabling agentic, autonomous, and orchestrated AI solutions that align with business outcomes and compliance standards.Preferred Qualifications: 15-20+ years of total experience in Data & Analytics space using array of ETL and BI tools Designing and architecting data and analytics platform.4-8+ years of experience in architecting enterprise AI/ML solutions and delivery1-2+ years of hands-on experience with LLMs, agentic systems, and enterprise AI platforms (ideally in production or pilot environments)Worked in advanced R&D/innovation teams or any Certifications in Responsible AI, and Advanced ML/NLP would be plus.Strong stakeholder management and executive communication skills. Key Responsibilities & Requirements: Architect and deliver transformative AI products across enterprise domains (BFSI, CPTS (non-BFSI Domains)Design scalable, secure AI frameworks—from concept to production—ensuring ethical and compliant adoption. Lead enterprise LLM/SLM strategy.Mobilize cross-functional teams to accelerate AI innovation and drive measurable business impact.Develop and implement agentic systems (multi-agent architectures, marketplaces, orchestration patterns).Champion low/no-code GenAI platforms to democratize AI integration for business and technical users.Align AI strategy with business goals—link technology roadmaps to measurable outcomes.Drive adoption of AI toolkits (e.g. GitHub Co-Pilot, Vibe coding etc. AI bootcamps) —empower employees to integrate AI into daily workflows.Implement MLOps & LLMOps lifecycle management for traditional AI/ML and LLM agentic solutions —optimize performance and governance.Lead data monetization programs—unlock new revenue streams from latent data assets.Automate data engineering SLDC across Data & Analytics—data cleansing, deduplication, and reliability for AI/ML models, automate enterprise data ingestion and analytics.


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