Principal AI Engineer & Architect, Secure AI Systems

relx; Horsham (PA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

LexisNexis Reed Technology seeks a hands-on Principal AI Engineer to design and build production-grade AI solutions, evolving into an AI Architect role. You will collaborate with product, security, and government stakeholders to translate mission needs into secure, scalable AI capabilities.

Initially focused on solution design and implementation with governance and architectural standards, you will mentor teams and drive cross-team alignment while expanding influence across platforms and

Qualifications

• Bachelor's degree or equivalent practical experience.
• Significant professional software engineering experience delivering production applications or platforms.
• Hands-on experience developing AI, machine-learning, or data-intensive solutions.
• Proficiency in Python and APIs, cloud services, data pipelines, software development practices, and source control.
• Experience with modern generative-AI patterns such as LLMs, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents.
• Understanding of cloud-native architecture, system integration, IAM, observability, and secure development practices.
• Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs.

Responsibilities

• 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, NLP, computer vision, or related AI tech.
• Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations.
• Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing apps.
• Balance rapid experimentation with engineering discipline for secure, reliable production systems.
• Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit.
• Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and observability.
• Partner with senior architects to establish AI patterns, guardrails, standards, and reference architectures.
• Help teams decide on commercial, open-source, and internally developed AI capabilities.
• Identify opportunities to create shared AI services and reusable capabilities across products/contracts/government agencies.
• Participate in architecture reviews and document technical decisions, tradeoffs, assumptions, 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.
• Stay informed about evolving government AI policies, standards, and responsible-AI expectations.
• Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses.
• Communicate AI concepts, limits, risks, and tradeoffs clearly to technical and non-technical audiences.
• Help move prototypes into secure, supportable, scalable production capabilities.
• Keep up with government AI policies and acquisition practices.

Skills

Python

APIs

Cloud services

Data pipelines

Software development practices

Source control

Generative AI patterns

LLMs

Retrieval-augmented generation

Embeddings

Vector search

AI agents

Observability

Security practices

Architecture decisions

Mentoring

Education

Bachelor's degree in computer science, engineering, data science, information systems, or related field

Tools

No specific tools listed

Job description

LexisNexis Reed Technology seeks a hands-on Principal AI Engineer to design and build production-grade AI solutions, evolving into an AI Architect role. You will collaborate with product, security, and government stakeholders to translate mission needs into secure, scalable AI capabilities.

Initially focused on solution design and implementation with governance and architectural standards, you will mentor teams and drive cross-team alignment while expanding influence across platforms and