Lead Software Engineer, AI

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

About the Role

As a Lead Software Engineer, AI
, you will spearhead the development of cutting‑edge AI‑powered solutions and drive 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.

Build & Architect AI‑Driven Systems

• 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.

Drive Innovation & Technical Strategy

• 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.

Provide Senior Technical Leadership

• 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.

Ensure Quality, Security & Operational Excellence

• 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.

Lead Cross‑Functional Collaboration

• 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.

About You

You are a fit for the position of Lead Software Engineer, AI if your background includes:

Required Skills and Experience

• 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.
• Experienced with Generative AI, RAG, and LLM.
• Experience in areas such as leading solution discovery for various planning and teams, Architecture, Agentic tools, Evaluations, Deployment, Lifecycle of Solution, Metrics.
• 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…