Lead Software Engineer - AI

Lead Software Engineer, AI

As a Lead Software Engineer - AI, you will spearhead the development of cutting-edge AI-powered solutions and driving technical strategy. You will collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that transform how our organization delivers value to customers.

• Design and lead the implementation of complex, enterprise-scale AI systems, including sophisticated multi-component pipelines, advanced retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning capabilities
• Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures
• Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud and compliance
• Define technical standards and best practices for AI system architecture across the organization
• Lead evaluation and strategic adoption of cutting-edge AI techniques to solve complex business challenges
• Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features
• Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps
• Drive innovation initiatives and establish the organization's position in emerging AI technology areas
• Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specifications
• Mentor a team of senior and junior Software engineers, fostering technical growth and career development;
  Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives
• Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events
• Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale
• Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements
• Conduct advanced systems analysis and drive operational improvements across AI infrastructure
• Establish governance frameworks for AI model lifecycle management
• Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market-leading applications
• Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost efficiency, and user experience
• Lead strategic initiatives for application feature enhancements through advanced AI capabilities
• Influence product strategy through deep technical expertise and market understanding

• Bachelor's degree in computer science, Engineering, or equivalent experience;
  Master's degree preferred 8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML;
  Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, Tensor Flow, JAX)
• Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design
• Proven experience with MLOps/LLMOps and managing the complete lifecycle of enterprise AI-powered applications
• Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures
• Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform)
• Strong leadership experience driving technical initiatives
• Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments
• Outstanding communication and presentation skills with experience influencing senior stakeholders
• Experience leading teams in building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers like OpenAI, Anthropic, and others
• Advanced knowledge of vector…