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Senior Software Engineer II

LexisNexis® Risk Solutions Open
Oklahoma City Full-time Senior Software Engineering

At a glance

Senior Software Engineering role at LexisNexis® Risk Solutions. Oklahoma City · full-time · $95,300–$158,800 base.

SalaryStated by LexisNexis® Risk Solutions
$95,300 – $158,800
Base salary for this role, in USD per year, as published in the posting.
This role, from LexisNexis® Risk SolutionsOur estimate for the market: $127,050–$139,000Median $135,269
The range includes the market median of $135,269 for senior software engineering roles in Oklahoma City.
Worked out from 5 postings that stated pay, median $135,269. Last updated Oct 16, 2026.
RoleSoftware Engineering
SenioritySenior
LocationOklahoma City
EmploymentFull-time
Base pay$95,300–$158,800
PostedOct 8, 2026
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build and release production AI services, including agent workflows, retrieval systems and structured-data extraction
  • Turn unclear business problems into use cases, requirements and measurable success criteria with stakeholders
  • Document system architecture, then build evaluation checks and track accuracy, speed and cost in production
  • Apply safeguards for personal data, hallucinations and audit trails, with human review where needed
  • Manage LLM workload costs and performance, and automate deployments across AWS and Azure

What you bring

  • At least five years in software engineering, including two years shipping LLM- or ML-based systems
  • A computer science or engineering degree, or equivalent experience
  • Expertise in TypeScript/Node.js or Python, plus hands-on experience with LLM APIs and production AI systems
  • Experience designing RAG pipelines, structured extraction and validation, and evaluation methods for AI systems
  • Strong SQL skills and working experience with AWS and Azure

Who this fits

This senior individual-contributor role suits an engineer who can own AI services through design, evaluation, deployment and monitoring, and mentor less-experienced engineers. The position is based in Oklahoma City.

From the employer

About The Role:


This position performs complex research, design, and software development assignments in the design and delivery of production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. The position provides direct input to project plans, schedules, and methodology for cross-functional AI products; performs system design, typically across multiple systems and data sources; mentors more-junior members of the team; and works directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.


Requirements:


  • 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: 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: golden datasets, LLM-as-judge, precision/recall on extraction tasks, 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

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 system components
  • Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production
  • Implement responsible AI practices: 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 key stakeholders across engineering, product, and business functions
  • Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness

Working for you:


We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: 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
  • In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice


U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.







We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$90k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.