Software Engineer Sr Lead

As the Software Engineer Sr Lead, you will be a hands-on technical leader driving AI and automation solutions that transform the employee digital experience. You will design, build, and scale intelligent software systems, applying modern AI techniques to solve real business problems at enterprise scale.

This role blends deep engineering expertise with technical leadership-setting standards, guiding teams, and delivering high-impact AI-powered capabilities across the organization.

What You Will Be Doing:

• Design, develop, and deploy AI-driven software solutions that improve employee productivity and experience
• Lead complex engineering initiatives focused on AI integration, automation, scalability, and performance
• Build and evolve production-grade systems that integrate AI/ML models into core enterprise workflows
• Collaborate with product, UX, and business stakeholders to translate requirements into high-quality technical solutions
• Define and enforce engineering best practices, coding standards, and quality benchmarks
• Perform advanced debugging, code reviews, and system analysis to ensure reliability and maintainability
• Evaluate and adopt emerging AI/ML technologies, frameworks, and engineering patterns
• Guide cloud-native development, ensuring AI applications are secure, scalable, and well-operated
• Produce clear technical documentation to support long-term system ownership and knowledge sharing

Bachelor's Degree, * Advanced expertise in software engineering with experience building complex, distributed systems

• Proven success delivering AI-enabled or automation-focused software in production environments
• Strong proficiency in modern programming languages, frameworks, and AI/ML integration patterns
• Experience integrating AI models into applications (e.g., inference services, APIs, workflows)
• Solid understanding of cloud-native development, scalability, and system reliability
• Ability to lead technically-setting direction, mentoring engineers, and influencing design decisions
• Strong problem-solving skills with a focus on pragmatic, maintainable solutions
• Bachelor's degree in computer science, engineering, or equivalent practical experience

Added Bonus If You Have:

• Experience with employee-facing platforms or enterprise productivity tools
• Hands-on exposure to AI/ML platforms, LLMs, NLP, or workflow automation technologies
• Knowledge of data privacy, security, or responsible AI practices
• Advanced degree or certifications in AI, machine learning, or software engineering
• Experience mentoring engineers or leading cross-functional technical initiatives