Principal Machine Learning Engineer

RELX

Principal AI Engineer designing secure, scalable AI applications for LexisNexis patent-data and government workflows. Shaping architecture, governance, and production delivery for USPTO solutions.

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. Proficient in developing secure, scalable solutions while collaborating across technical and non-technical teams.

Highest-signal resume keywords

AI Application DevelopmentMachine LearningPython ProgrammingCloud Services IntegrationTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI TechnologiesNatural Language ProcessingLarge Language ModelsData PipelinesAPIsSoftware Development PracticesModel EvaluationPrompt EngineeringData GovernanceGenerative AI Patterns

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationMentoringCollaborationProblem-Solving

Tools & Technologies

AWSMicrosoft AzureGoogle CloudMLOpsAI Orchestration FrameworksVector DatabasesEvaluation Platforms

Certifications & Qualifications

Relevant Cloud CertificationsArchitecture CertificationsSecurity CertificationsData CertificationsAI Certifications

Industry Keywords

Government ContractingNISTFedRAMPFISMASensitive Data CompliancePublic Trust Security ClearanceHuman-in-the-Loop Controls

Tech Stack

Tools & technologies

AWSAzureCloudCyber 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 operational 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 into 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
Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle

Requirements

What you’ll need

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
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, including 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
Ability to incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs
Ability to establish evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability
Ability to design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability
Ability to partner with cybersecurity, legal, privacy, compliance, and governance teams
Ability to ensure solutions align with organizational policies, contractual obligations, and government requirements
Ability to design human-in-the-loop controls
Preferred: Experience delivering technology solutions for U.S. federal, state, or local government customers
Preferred: Experience in government contracting, regulated environments, or programs involving sensitive data
Preferred: Familiarity with NIST, FedRAMP, FISMA, or agency-specific controls
Preferred: Experience with AWS, Microsoft Azure, or Google Cloud
Preferred: Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps
Preferred: Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices
Preferred: Experience moving AI proofs of concept into production
Preferred: Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops
Preferred: Prior technical leadership, mentoring, or architecture-review experience
Preferred: Relevant cloud, architecture, security, data, or AI certifications

Benefits

Comp & perks

Flexible hours
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
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
Family 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 volunteer with a charity
Annual incentive bonus