Principal Machine Learning Engineer

LexisNexis

Principal AI Engineer designing secure, scalable AI solutions for LexisNexis patent-data processing platforms. Translating government mission needs into production applications, architecture standards, and reusable AI capabilities.

Posted 9/10/2026full-timeHorsham • North Carolina, Pennsylvania • 🇺🇸 United StatesLead💰 $136,100 - $252,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-powered applications and services, with a strong focus on machine learning, natural language processing, and cloud-native architecture. Capable of translating complex requirements into practical solutions while ensuring compliance with government standards and security practices.

Highest-signal resume keywords

AI-Powered Application DevelopmentMachine Learning ExpertisePython ProficiencyCloud-Native ArchitectureTechnical Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingLarge Language ModelsRetrieval-Augmented GenerationAI TechnologiesAPIsData PipelinesSoftware Development PracticesSystem IntegrationModel Evaluation

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationMentoringTechnical Guidance

Tools & Technologies

Cloud ServicesSource ControlEvaluation FrameworksMonitoring ToolsCybersecurity Tools

Certifications & Qualifications

Public Trust Security Clearance

Industry Keywords

Government AI PoliciesComplianceSecurity PracticesHuman-in-the-Loop ControlsData Lineage

Tech Stack

Tools & technologies

CloudCyber SecurityPython

About the role

Key responsibilities & impact

Design, prototype, and implement AI-powered applications, services, agents, and workflows
Translate business, user, and government mission requirements into practical technical solutions
Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, and other AI technologies
Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations
Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications
Balance rapid experimentation with secure, reliable production engineering
Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit
Contribute to solution architectures spanning applications, models, data, integrations, infrastructure, security, and monitoring
Establish AI architecture patterns, guardrails, standards, and reference architectures with senior architects
Identify shared AI services and reusable capabilities across products, contracts, and government agencies
Participate in architecture reviews and document technical decisions, tradeoffs, assumptions, and risks
Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams
Grow ownership of end-to-end AI solution architecture and broader technical strategy
Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses
Communicate AI concepts, limitations, risks, and tradeoffs to technical and non-technical audiences
Move successful prototypes into secure, supportable, scalable production capabilities
Stay informed about government AI policies, standards, acquisition practices, and responsible-AI expectations

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience
Significant professional software engineering experience, including experience delivering production applications or platforms
Hands-on experience developing AI, machine-learning, or data-intensive solutions
Proficiency in Python
Experience with APIs, cloud services, data pipelines, software development practices, and source control
Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents
Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices
Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs
Experience working across product, engineering, data, security, and business teams
Strong written and verbal communication skills
Ability to satisfy applicable government background, suitability, or contractual requirements
Must be a U.S. citizen
Must successfully pass a background investigation and achieve Public Trust security clearance
Must be located near Horsham, PA for a hybrid onsite schedule
Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs
Establish evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability
Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability
Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle
Ensure solutions align with organizational policies, contractual obligations, and government requirements
Design human-in-the-loop controls based on AI-supported decision risk and impact

Benefits

Comp & perks

Flexible working hours
Shared parental leave
Study assistance
Sabbaticals
Comprehensive medical, dental and vision benefits
401(k) with match
Employee Share Purchase Plan
Wellness platform with incentives
Headspace app subscription
Employee Assistance and Time-off Programs
Short-and-Long Term Disability insurance
Life and Accidental Death Insurance
Critical Illness insurance
Hospital Indemnity
Bonding and family care leaves
Adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
Annual incentive bonus