As a, Staff Software Engineer – AI, you will spearhead the development of cutting-edge AI-powered solutions and guiding 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.

About the Role:

• 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 solutions for AI system architecture across the organization.
• Lead evaluation and scalable adoption of cutting-edge AI technologies 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 senior technical discussions and translate high-level business requirements into complete technical specifications.
• Mentor a team of senior and junior Software Engineers, fostering technical growth and career development.
• Champion new 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 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, and user experience.
• Lead strategy initiatives for production feature enhancement and advanced AI applications informed through technical expertise and market understanding.

About You

• Bachelor’s or Master’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.
• Hands on with AI/ML frameworks, LLMs, Understanding of Cloud & Deployments
• Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, TensorFlow, JAX).
• Deep understanding of LLM architectures, advanced training methodologies, and distributed agent system design.
• Demonstrated success in building AI-driven systems that deliver expert-based, authoritative solutions.
• Experience with large-scale enterprise data (OpenAI, Anthropic, etc.) and advanced knowledge of vector databases, semantic search, and information retrieval systems.
• Domain expertise in legal, tax, accounting, or other regulated industries.
• Track record of successful AI product launches and scaling AI systems to enterprise customers.
• Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.
• Experience with AI governance, model risk management, and regulatory compliance.
• Publications, patents, or speaking experience in AI/ML domains.

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What’s in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for …