Lead Software Engineer, AI

About the role

Join our fast-moving, forward-thinking group that is creating AI-driven software for professionals through our investigative platform, CLEAR (Consolidated Lead Evaluation and Reporting), which empowers users to search and analyze billions of public and proprietary records from a unified interface. We invest deeply in AI technologies and explore emerging fields with the backing of Thomson Reuters, a global leader.

Responsibilities

• Build and architect AI-driven systems – Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; lead full-stack development from AI orchestration and RAG through API gateways, microservices, and modern web UIs.
• Drive innovation and technical strategy – Lead evaluation and adoption of cutting-edge AI techniques; oversee proof-of-concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events.
• Provide senior technical leadership – Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle.
• Ensure quality, security, and operational excellence – Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements; establish governance for AI model lifecycle management.
• Lead cross-functional collaboration – Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; influence product strategy through deep technical expertise.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's degree preferred), and 8+ years of software engineering experience with at least 4 years in senior or lead roles focused on AI/ML.
• Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs — including solution discovery, architecture, agentic tools, evaluation, deployment, lifecycle, and metrics.
• Strong proficiency in backend services and APIs.
• Expert-level proficiency in an object orientated programming and extensive experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); deep understanding of ML principles, evaluation methodologies, and distributed systems; and the full lifecycle of enterprise AI applications.
• Advanced experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); demonstrated ability to integrate AI models into large-scale production systems via APIs, data pipelines, and cloud-native architectures.
• Strong leadership and mentoring experience; excellent strategic thinking and problem-solving; outstanding communication and presentation skills with experience influencing senior stakeholders.

Qualifications

• Experience leading teams building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
• Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval.
• Domain expertise in legal, tax, accounting, or regulated industries (e.g., investigative or large-scale search platforms).
• Track record of successful AI product launches and scaling AI systems to enterprise customers.
• Experience with AI governance, model risk management, and regulatory compliance.
• Track record of publications, patents, or speaking experience in AI/ML.

Benefits

This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Pay

$127,400 USD - $236,600 USD

Schedule

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.