Raleigh, NC

Data Jobs in Raleigh, NC

13 jobs found

Include remote jobs

26d ago

Lead Data Scientist

Motion Recruitment Raleigh, NC

Raleigh, NC

26d ago

Contract Backend Developer Manager Agentic Ai

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Job Description

Motion Recruitment is hiring for a contract Lead Data Scientist position in Raleigh, NC, with a hybrid schedule that includes two days onsite each week. In this role, you will help shape and deliver advanced AI capabilities for platforms focused on legal and regulatory intelligence.

You will lead the design and deployment of Retrieval-Augmented Generation (RAG) and agentic AI systems, with an emphasis on building solutions that can support real enterprise workflows for legal professionals.

Role focus

Work centers on engineering and operationalizing AI systems for legal research and document-centric tasks. The aim is to enable capabilities such as case law summarization, statutory interpretation, document intelligence, and workflow automation through enterprise-scale machine learning and LLM architectures.

Responsibilities

Lead the design and deployment of advanced RAG systems and Agentic AI architectures tailored for legal and regulatory intelligence platforms
Drive innovation in enterprise-scale AI systems that support legal research, case law summarization, statutory interpretation, document intelligence, and workflow automation for legal professionals

Requirements

Bachelor's degree required
8+ years of experience
Deep expertise in machine learning, NLP, LLM systems engineering, and distributed AI architectures

Desired skills & experience

Master's degree
Prior experience working in legal/law data ecosystems

Technologies

Retrieval-Augmented Generation (RAG)
Agentic AI
Machine learning
NLP
LLM systems engineering
Distributed AI architectures

Contract details

Job type: contract
Contract duration: 6-month contract to hire
Location: Raleigh, NC (hybrid)
Work schedule: requires 2x a week onsite

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28d ago

Senior Machine Learning Engineer

Motion Recruitment Raleigh, NC

Raleigh, NC

28d ago

Full time Senior Agentic Ai Ai Agent

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Job Description

Shape the architecture and delivery of scalable AI and agentic workflows for an enterprise data analytics platform in the legal space.

Responsibilities

100% hands on work across AI/ML development and deployment
Build and deploy advanced AI and machine learning models for legal research tools
Design and improve large-scale, distributed ML systems and enterprise platforms
Develop and integrate agent-based AI workflows and retrieval systems
Partner with engineering teams to support scalability and security for SI solutions

Requirements

Skilled in AI/ML and agentic workflows
Skilled in LLM and RAG architecture
Experience with Vector Databases
Exposure to MLOps
Exposure to Python
Exposure to AWS and Kubernetes

Technologies

Python
AWS
Kubernetes

Benefits

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) including match (if applicable)

Desired Skills & Experience

Experience working in the legal industry
12+ years of development experience, or 8+ years with a PhD
Degree in a relevant field

The Offer

Bonus or Commission eligible

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29d ago

Lead Machine Learning Engineer

Motion Recruitment Raleigh, NC

Raleigh, NC

29d ago

Full time Manager Agentic Ai Ai Agent

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Job Description

Motion Recruitment is hiring a Lead Machine Learning Engineer in Raleigh, NC to help architect scalable AI and agentic platform capabilities for a global AI platform powering LLM-powered research assistants, retrieval systems, and enterprise-grade agent workflows. In this role, you will shape AI platform strategy, technical standards, and governance so the systems operate reliably at scale while aligning with responsible AI principles.

What you’ll do

Architect scalable AI platforms, including defining a reference architecture for LLM, ML, and agent-based systems across products
Design high-availability, low-latency inference platforms for global scale
Establish reusable platform components to support the model lifecycle, deployment, and monitoring
Architect multi-step, reasoning-driven agent systems
Design orchestration patterns for tool use, API invocation, and structured function calling
Lead implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management
Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems
Set best practices for MLOps, CI/CD, observability, and system reliability
Embed Responsible AI principles across platform architecture
Mentor senior engineers and influence technical direction across teams

Required experience and education

10+ years of experience with a Master’s degree, or 12+ years of experience with a bachelor’s degree
10+ years building production-grade ML systems at scale
Extensive experience with LLMs, generative AI, and RAG systems in real-world deployments
Proven expertise designing distributed systems in cloud environments (AWS, Azure, or GCP)
Hands-on experience with Kubernetes, containerization, and scalable inference systems
Experience designing agentic systems and tool orchestration frameworks
Experience implementing or governing MCP servers or structured tool-calling architectures
Strong Python engineering background
Experience with vector databases and search systems
Deep understanding of model evaluation, reliability, and monitoring
Strong architectural judgment and systems thinking
Leadership experience influencing technical direction across teams
Strong communication skills and executive presence
Experience mentoring senior engineers or leading cross-functional initiatives

Technologies

LLMs, RAG systems, Python
AWS, Azure, GCP
Kubernetes, containerization
Model Context Protocol (MCP)
Vector databases, search systems
MLOps, CI/CD, observability

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1mo ago

AWS and AI Engineer

Infosys Raleigh, NC

Raleigh, NC

1mo ago Closed

Full time Ai Engineer Amazon Web Services Artificial Intelligence

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Infosys is hiring an AWS and AI Engineer (Technology Consultant 2) in Raleigh, NC for an onsite role delivering software across the full development lifecycle.

Responsibilities

Support requirements elicitation by documenting assigned portions of business requirements following provided guidance
Lead and participate in software application design discussions; capture and document design decisions for the technical team
Code new features and integrate updates into existing applications while maintaining system stability
Perform code reviews; apply code changes and maintain code repositories
Develop and execute test strategies, analyze test results, and coordinate bug fixes to meet software quality standards
Create user training programs, documentation, and support frameworks to enable smooth adoption of new software applications
Participate in troubleshooting production issues; recommend preventive steps to improve system reliability
Maintain detailed records of code, testing approaches, and support activities to strengthen the knowledge base across projects

Requirements

Collaborative spirit and excellent communication skills
Ability to manage end to end SDLC phases from requirement gathering through implementation
Capability to translate complex requirements into actionable development tasks
Passion for design and hands-on coding experience
Proactive mindset for testing, troubleshooting, and ongoing application refinement
Ability to work with cross-functional teams and support software integration

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1mo ago

Forward‑Deployed AI Engineer

Infosys Raleigh, NC

Raleigh, NC

1mo ago Closed

Full time Backend Developer Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

As a Forward-Deployed AI Engineer at Infosys in Raleigh, NC, you will work with client and internal teams to support requirements, design, development, integration, testing, and production issue resolution. The role emphasizes stability and reliability throughout the software lifecycle.

Responsibilities

Contribute to the requirements elicitation process by documenting assigned portions of business requirements according to provided guidance.
Support software application design discussions and document design decisions to guide the technical team in delivering software solutions.
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability.
Perform code reviews, implement code changes, and maintain code repositories.
Develop and apply test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
Create user training programs, documentation, and support frameworks to enable smooth transitions to new software applications.
Actively participate in resolving production issues and recommend preventive strategies to improve system reliability.
Maintain detailed records of code, testing techniques, and support activities to strengthen the knowledge base for related projects.

Requirements

A collaborative spirit and excellent communication skills.
Ability to manage end to end SDLC phases from requirement gathering through implementation.
Capability to translate complex requirements into actionable development tasks.
Interest in design paired with hands-on coding experience.
Proactive approach to testing, troubleshooting, and refining applications.
Ability to work with cross-functional teams and support software integration.

Your Contribution to the Team

Bring a collaborative spirit and strong communication skills to delivery efforts.
Handle end to end SDLC phases from requirement gathering to implementation.
Translate complex requirements into actionable development tasks.
Apply design thinking alongside hands-on coding experience.
Take a proactive approach to testing, troubleshooting, and application refinement.
Collaborate effectively with cross-functional teams and support software integration.

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1mo ago

IT Business Intelligence/Data Analyst I

North Carolina State University Raleigh, NC

Raleigh, NC

1mo ago Closed

$71k - $74k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

This role in the Graduate School-Dean's Office supports university-wide reporting and analytics by designing, maintaining, and enhancing data infrastructures for graduate-level use cases. The position integrates data from multiple complex systems and helps stakeholders access accurate metrics through reporting and analytics solutions.

Role Overview

Reporting to the Director of Information Management, the IT Business Intelligence/Data Analyst I designs, maintains, and enhances data infrastructures that support graduate-level reporting and analytics across the university. The role brings together data from multiple sources, collaborates across campus to define reporting needs, and contributes to updates for dashboards, metrics, and analytics tools.

Key Responsibilities

Design, build, and maintain data infrastructure to support both routine and ad-hoc reporting for graduate education.
Create complex datasets and reports for stakeholder needs including graduate admissions, enrollment, and trend analyses.
Use university information systems to produce analytics and metrics for university-wide stakeholders.
Support front-end development efforts that improve data accessibility, including contributions to web pages and applications using PHP, WordPress, or related tools.
Establish and maintain comprehensive documentation covering data dictionaries, ETL documentation, and workflow records.
Conduct regular audits to verify data accuracy and integrity.
Monitor and troubleshoot data issues proactively.
Collaborate with Graduate School leadership and central offices (including OIT, ISA, EMAS, etc.) to support strategic initiatives and operational needs.
Provide data extracts, queries, and custom reports for internal and external requests such as self-assessment data and NSF surveys.
Assist departments and campus partners with individual data needs, including routine and ad-hoc requests.
Participate in efforts to update or replace outdated datasets, webpages, jobs, and reporting tools.
Use tools such as Query Analyzer to analyze query performance and incorporate enhancements to SQL queries.

Required Qualifications

Education: Master’s degree. Alternatively, Bachelor’s degree preferably in Computer Science or Business Analytics with zero to two years of relevant experience, or an equivalent combination of education, training, and relevant experience.
Experience writing and executing SQL queries.
Experience with Predictive Analytics using Python and SAS.
Good understanding of normalized and relational databases.
Excel data analysis and reporting, including Pivot Tables and Power Queries.
Working knowledge of visual analytics and report creation using Power BI and SAS VA.
Experience with data manipulation and warehousing tools including SQL Server Integration Services (SSIS), SAS DI Studio, and Power Automate.
Experience scheduling jobs within Windows and SQL Server.
Experience with advanced tools such as Query Analyzer and SQL Server Management Studio.
Analytic and problem-solving skills, including the ability to communicate effectively with internal and external customers.
Project and time management, plus collaboration and team-building skills.

Technical Skills and Tools

Languages: SQL, SAS, Python, Power BI DAX
Databases: Relational/normalized databases such as Oracle and MS SQL Server
Hands-on experience: SAS, Oracle SQL, Power BI, SSIS, Python, and Oracle PeopleSoft Query Manager
Other tools: Excel, Pivot Tables, Power Query, Power BI, SAS VA, SQL Server Integration Services (SSIS), SAS DI Studio, Power Automate, Query Analyzer, SQL Server Management Studio, PHP, WordPress, Windows

Professional Development

Participate in relevant training, conferences, and courses related to data and visualization concepts and tools, including Conferences, Certifications and Workshops on Data and Visualization.

Compensation and Schedule

Salary: USD 71,000 - 74,105 per year
Work schedule: Monday - Friday, 40 hours/week
Work location: Raleigh, NC (onsite)

Benefits

Medical, Dental, and Vision
Flexible Spending Account
Retirement Programs
Disability Plans
Life Insurance
Accident Plan
Paid Time Off and Other Leave Programs
12 Holidays Each Year
Tuition and Academic Assistance
Childcare benefits
Wellness & Recreation Membership
Wellness Programs

Position and Application Details

Posting number: PG194767EP
Internal recruitment: No
Position number: 00061780
Position type: EPS/SAAO
FTE: 1.0 (1.0 = 40 hours/week)
Appointment: 12 Month Recurring
Department: 040101 - Graduate School-Dean's Office
Job open date: 07/31/2026
Anticipated close date: Open until filled
Special instructions: Please upload resume/CV and contact information for at least three (3) professional references.
Required licenses/certifications: N/A
NC driver’s license required: No
Commercial driver’s license required: No

Additional Notes on Perks

Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans are found within the linked materials.

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1mo ago

Senior Machine Learning Engineer

Siemens Raleigh, NC

Raleigh, NC

1mo ago Closed

Full time Senior AI Ai Ml

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Senior Machine Learning Engineer at Siemens in Raleigh, NC (onsite), leading LLM powered application development on AWS and owning the end-to-end model lifecycle with MLOps.

Responsibilities

Develop LLM driven applications by architecting retrieval augmented generation pipelines, coordinating prompts, building tools and agents, implementing safety controls, and creating evaluation harnesses; measure latency, cost, and quality.
Oversee the full ML lifecycle from data curation and feature engineering to training or fine tuning (LoRA or QLoRA), A/B testing, deployment, monitoring, and ongoing enhancement of models and prompts.
Deploy scalable AWS services using EKS, ECS and Lambda; leverage SageMaker, Bedrock, EMR, MSK, and Step Functions; implement observability with CloudWatch and OpenTelemetry and apply cost-control practices.
Establish MLOps and governance practices including CI/CD for models, model/version registries, data and prompt lineage, evaluation gates, and responsible AI controls.
Collaborate with Brightly across asset-management use cases to design ML and LLM solutions, working with product managers and UX to ship customer‑facing features that improve reliability, safety, and sustainability.
Conduct exploratory data analysis across structured, semi-structured, and unstructured data to reveal patterns, correlations, feature importance, and data quality issues.
Perform in-depth research on asset-related, operational, and domain datasets to uncover root causes, trends, and predictive signals.
Maintain a pragmatic, product‑oriented approach with a bias toward measurable outcomes and rapid iteration with stakeholders.
Practice engineering excellence by delivering production‑quality Python, designing reliable APIs and services, and upholding testing and observability standards.
Provide collaborative leadership by mentoring peers and influencing architectural decisions across teams.

Requirements

8 to 10 years of overall software or ML engineering experience, including at least 2 years building and operating production ML systems.
More than 1 year of hands-on LLM application development (RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using Langchain and Langgraph.
3+ years of AWS proficiency, with core services (EKS/ECS, Lambda, S3, DynamoDB or RDS, Step Functions, IAM) and ML stack familiarity (SageMaker, Bedrock or HF on AWS).
Modeling and frameworks expertise with Python, PyTorch, and Hugging Face ecosystem; experience with vector stores (OpenSearch, PGVector, Pinecone), embeddings, retrieval, and NLP/LLM evaluation metrics.
MLOps experience including CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, and automated retraining; Docker/Kubernetes and CI pipelines (GitHub Actions or GitLab CI).
Data engineering fluency covering ETL/ELT, streaming and batch processing (Spark/Flink), and data quality and governance controls for ML.

Technologies

Python
PyTorch
Hugging Face ecosystem
Langchain
Langgraph
SageMaker
Bedrock
OpenSearch
PGVector
Pinecone
Spark
Flink
AWS
EKS
ECS
Lambda
S3
DynamoDB
RDS
Step Functions
IAM
EMR
MSK
CloudWatch
OpenTelemetry
Docker
Kubernetes
GitHub Actions
GitLab CI
MLflow
Kedro
SageMaker Pipelines

Nice to Have

Experience with distributed training (FSDP, DeepSpeed), RLHF, or optimization on Inferentia/Trainium.
Exposure to sustainability, asset management, or intelligent operations domains.
Security and compliance knowledge for enterprise ML systems.