Senior Software Engineer II

LexisNexis Risk Solutions is seeking a Senior Software Engineer II to design, build, and deploy production AI systems. The role spans agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services, with end-to-end ownership from scoping through evaluation and monitoring in production.

Role Overview

This position involves complex research, design, and software development work focused on production AI systems, including agentic workflows, LLM-powered pipelines, RAG, and structured extraction services. You will provide direct input to cross-functional AI project plans, schedules, and methodology, and you will perform system design across multiple systems and data sources.

You will also translate ambiguous, unstructured business problems into measurable AI solutions through collaboration with business users and stakeholders. Mentoring more-junior team members on AI system design, evaluation methodology, and production readiness is part of the role.

Responsibilities

• Design, build, and deploy production AI systems, including agentic workflows, RAG services, and extraction pipelines across multiple business units
• Interface with business stakeholders and technical team members to scope AI use cases, define success metrics, and finalize requirements
• Write and review detailed technical specifications and architecture documents for complex AI components
• Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production
• Implement responsible AI practices, including data handling, PII controls, hallucination mitigation, auditability, and human review where required
• Own cost and performance of LLM workloads, including model selection, caching, and usage attribution
• Build and maintain CI/CD pipelines and deployment automation for AI services across AWS and Azure environments
• Operate in Agile development environments while collaborating with engineering, product, and business functions
• Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness

Required Qualifications

• 5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production
• BS in Engineering/Computer Science or equivalent experience required
• Demonstrated track record of owning an AI feature or service end to end: design, evaluation, deployment, and monitoring
• Expert proficiency in TypeScript/Node.js and/or Python; working knowledge of C#/.NET is a plus
• Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent), including prompt design, tool/function calling, structured outputs, and model selection tradeoffs
• Experience building RAG pipelines, including chunking, embedding, hybrid retrieval, reranking, and grounding/citation
• Strong understanding of schema-driven structured extraction from unstructured data (Zod, Pydantic, JSON Schema) and validation strategies
• Experience with evaluation frameworks for AI systems, including golden datasets, LLM-as-judge, precision/recall on extraction tasks, and regression testing of prompts and agents
• Strong SQL proficiency and understanding of relational and vector data storage (SQL Server, PostgreSQL, Elasticsearch/vector stores)
• Working experience with both AWS and Azure, including compute, storage, networking, IAM, and managed AI services; containerized deployment (Docker, Kubernetes or equivalent), secrets management, and observability (token usage, latency, cost attribution)
• Strong knowledge of software development best practices, test-driven development, and code review

Technologies

• TypeScript, Node.js, Python, C#, .NET
• Azure OpenAI
• Zod, Pydantic, JSON Schema
• SQL, SQL Server, PostgreSQL, Elasticsearch
• AWS, Azure
• Docker, Kubernetes
• CI/CD, Agile

Compensation and Location

• Location: Oklahoma City, OK (onsite)
• Salary: USD 95,300 - 158,800 per year

This job is eligible for an annual incentive bonus. U.S. National Base Pay Range is $95,300 - $158,800, and geographic differentials may apply in some locations to better reflect local market rates.

Benefits

• Comprehensive, multi-carrier medical, dental and vision benefits
• 401(k) with match and an Employee Share Purchase Plan
• Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• Annual Paid Time Off, up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Additional Information

• LexisNexis Risk Solutions is committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, contact 1-855-833-5120 or complete the Applicant Request Support Form.
• Criminals may pose as recruiters asking for money or personal information. The company never requests money or banking details from job applicants.
• The company provides a Candidate Privacy Policy and follows equal opportunity employment practices.
• USA Job Seekers: EEO Know Your Rights.