Principle AI/ML Engineer

• Lead the design, development, and implementation of AI/ML,Generative AI (Gen AI), and Agentic AI solutions aligned with business

• Create Business impact by streamlining the AI delivery pipeline anddrive the seamless execution of AI related projects

• Drive innovation by exploring new technology improvements in AI and conduct POCs for business cases by experimenting with existing data

• Develop scalable prototypes using Gen AI and Agentic AI frameworks.

• Mentor the team members with AI expertise and guide them to upskill on AI related topics with both internal and external trainings

• Research and publish AI advancement as part of market intelligence and involve in peer and vendor collaborations.

• Collaborate with business stakeholders and technology teams to identify AI-driven opportunities that enhance operational efficiency,

• Responsible for end-to-end delivery of AI initiatives, including problem framing, data exploration, model development, validation, deployment,

• Provide functional and technical leadership across AI domains— ensuring models are explainable, ethical, and in line with regulatory

• Work cross-functionally to integrate AI capabilities into existing platforms and workflows, while promoting the adoption of emerging

• Act as a strategic AI/ML leader, identifying and executing use cases where AI can deliver automation, intelligent decision-making,

• Manage medium to complex AI/ML and Gen AI projects from concept to deployment, demonstrating strong independent contribution across

• Lead and coordinate cross-functional, geographically distributed teams (onshore, offshore, and outsourced) delivering critical AI applications

• Translate business requirements into functional specifications, ensuring seamless alignment with AI/ML models, data pipelines, and

• Conduct system and process analysis to identify opportunities for AI integration that enhance agility, customer experience, and internal

• Perform impact assessments for AI-driven system enhancements, evaluating potential disruptions and opportunities through intelligent

• Bridge the gap between domain experts and AI developers, translating complex business scenarios into structured data and model-ready

• Independently prepare high-level scenarios and test data for Proof of Concept (POC) and internal testing of AI solutions without dependency

• Lead root cause analysis (RCA) using AI-based diagnostics, anomaly detection tools, and log intelligence to prevent recurrence of system

• Maintain detailed documentation for AI system configurations, including model parameters, training datasets, pipeline dependencies,

• Apply awareness of API architecture, data lineage, and system access to ensure AI models are securely and efficiently integrated across

• Use AI and ML tools to support debugging and resolution of complex issues, improving speed, accuracy, and reliability of technical

• Ensure AI/ML initiatives meet governance, audit, and regulatory compliance standards, with a focus on ethical AI, data privacy, and

• Lead employee engagement and capability-building activities, with emphasis on AI fluency, experimentation, and adoption across teams.

• Oversee smooth transitions from development to production by embedding AI-based monitoring, alerting, and self-healing capabilities.

• Rigorously plan, execute, and finalize AI initiatives within deadlines, using intelligent project management and predictive planning tools.

• Coordinate with data engineering, infrastructure, and analytics teams to deliver seamless, scalable AI solutions that align with enterprise

• Maintain strict adherence to quality assurance and change management processes, exploring automation opportunities through

• Contribute to the full lifecycle of AI and Gen AI systems—including ideation, model design, prompt engineering, testing, deployment, and

• Perform model selection, evaluation, and fine-tuning for Gen AI and Agentic AI use cases; build and orchestrate autonomous agents for

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