Lead AI Solutions Engineer

• Lead the development and deployment of cutting-edge AI solutions within the organization.
• Guide and mentor a high-performing AI/ML engineering team.
• Architect scalable, reliable, cloud-native AI solutions adhering to industry standards.
• Drive end-to-end development of flagship AI projects, including POCs and prototypes.
• Collaborate with cross-functional teams to define requirements and ensure technical feasibility.
• Lead RD initiatives to explore emerging Gen AI, NLP, and automation technologies.
• Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team.
• Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP.
• Optimize, tune, and validate ML/NLP models for production readiness.
• Maintain high standards for technical documentation, reporting, and knowledge sharing.
• Act as the technical interface for stakeholders, communicating project progress and risks.

About You

• Possess 5 to 8 years of AI/ML experience, with 2+ years in a leadership or senior role.
• Have proven expertise in designing and deploying cloud-native AI applications.
• Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools.
• Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks.
• Strong leadership skills with the ability to motivate and guide technical teams.
• Experienced in creating scalable architectures, workflows, and process flows.
• Skilled in troubleshooting, analytical thinking, and problem-solving.
• Excellent communicator capable of explaining complex concepts to non-technical stakeholders.
• Stay updated with industry trends and lead innovative RD efforts in AI and automation.
• Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead.
• Experience in .Net and SQL skills at minimum 2-3 years.
• Engineering from a Tier-1/Tier-2 institute will be preferred.