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Design and lead end-to-end AI solutions using LLMs, RAG, agentic systems, vector databases and cloud infrastructure. Advise on AI architecture, MLOps, production readiness, and guide engineering teams to align systems with business goals.

Build and maintain scalable, cloud-native full‑stack payment systems. Collaborate with engineers and stakeholders to design, implement, secure, and migrate services using Java, Apache Camel, Spring Boot, AWS, and React/Angular. Troubleshoot issues, fix bugs, and support APAC payments, security updates, and migration projects within Agile/Waterfall environments.

Manage and grow a team that owns enterprise observability and developer tooling. Define observability standards, govern CI/CD platforms, drive incident response and automation, ensure security/compliance, and partner across engineering, SRE, and security to improve reliability and developer productivity.

Lead analytic projects and model development: conduct code reviews, approve models, create frameworks and governance, manage small-to-medium teams, mentor staff, and maintain high standards for model delivery and customer engagement.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.

Manage and grow revenues through reseller and channel partners by recruiting, supporting, and enabling partners; develop strategic account plans; build long-term client relationships; collaborate internally to ensure delivery; identify upsell/cross-sell opportunities; analyze market and competitor trends; and mentor junior account management staff.

Design, build, deploy, and maintain large-scale data pipelines and ETL using Python and Spark on Azure (Synapse/Databricks). Collaborate with cross-functional teams to translate requirements into data designs, implement CI/CD, monitor and troubleshoot production pipelines, ensure data security and governance, perform code reviews, and document solutions while driving automation and process improvements.

Analyze article and newsletter performance, translate data into concise insights for editorial decision-making, run and interpret A/B headline tests, track audience behavior across products and channels, identify high-performing formats and topics, and collaborate with editorial, product, and marketing teams to grow subscriber engagement.

Posting contains company overview, equal opportunity and accommodation statements, and recruiter scam warning. No specific duties, responsibilities, or required qualifications are provided. Position noted as not eligible for benefits.

Sell LexisNexis AI solutions to large law firms by managing a named account list, owning the full sales cycle, prospecting, conducting demos, building stakeholder relationships, collaborating cross-functionally, and developing scalable sales playbooks to meet revenue targets.