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Ai Platform Engineer Jobs in Raleigh, NC (NOW HIRING)

Henderson Scott

Artificial Intelligence Engineer

Raleigh, NC · On-site

$53.75 - $69.25/hr

Senior AWS AI Platform Engineer - Generative AI | RAG | Agentic AI Location: Raleigh, NC (Hybrid) Salary: $110,000 - $130,000 + Benefits I'm currently supporting a leading enterprise organisation as ...

Epic Games

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

Our AI Platform team is building the next layer of that infrastructure - an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and ...

Gilead

Platform Delivery Lead, Data & AI

Raleigh, NC · On-site

Facilitate technical problem-solving across data engineering, AI/ML and agentic enablement, governance, and platform reliability domains * Ensure platform capabilities integrate cleanly with the ...

New

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Lead the deployment, integration, and operational support of AI platforms, tools, and services ... Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ...

Apex Systems

Sr Platform Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job#: 3037687 Sr Platform Engineer Location: Raleigh, North Carolina / Charlotte, North Carolina ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Apex Systems

CMDB Platform Engineer

Raleigh, NC · On-site

Job#: 3037671 CMDB Platform Engineer Location: Onsite: Raleigh, NC; Charlotte, NC; Winston-Salem ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Raleigh, NC

Ai Platform Engineer information

See Raleigh, NC salary details

$32

$62

$92

How much do ai platform engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai platform engineer in Raleigh, NC is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $71.73 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI Platform Engineers are likely to continue to be in demand as they develop, deploy, and maintain AI systems, requiring skills in machine learning, cloud computing, and programming. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist despite AI advancements. These roles often require human judgment and interpersonal skills that AI cannot easily replicate.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model deployment, monitoring, and optimization in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Platform Engineer or senior AI researcher, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, cloud platforms, and extensive experience, and are usually found in leading tech companies or AI-focused organizations.

What engineer makes $500,000 a year?

Senior AI Platform Engineers or Machine Learning Engineers with extensive experience, advanced skills in cloud computing, and expertise in AI tools can earn salaries around or above $500,000 annually, especially in high-demand industries or companies. Such roles often require strong programming, data management, and system architecture knowledge, along with relevant certifications and a track record of successful projects.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Raleigh, NC? For Ai Platform Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Platform Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Platform Engineer jobs? Cities near Raleigh, NC with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $129,305 per year, or $62.2 per hour.
AWS AI Platform Engineer

AWS AI Platform Engineer

Alpha Consulting Corp.

Raleigh, NC • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Alpha Consulting Corp. is seeking a Senior Engineer – AWS AI Platform & RAG Integration to serve as the technical bridge between various teams. The role involves driving the onboarding of AI use cases onto the enterprise AI platform and implementing Generative AI solutions using AWS native AI services.
Responsibilities:
• Lead onboarding of business applications onto the enterprise AI platform
• Translate business and AI requirements into AWS infrastructure and platform capabilities
• Design reusable AI integration patterns and reference architectures
• Define enterprise standards for AI application integration
• Support multiple AI initiatives across business domains
• Design and implement Retrieval-Augmented Generation (RAG) architectures
• Build AI agents and multi-agent workflows for enterprise use cases
• Design enterprise knowledge retrieval and semantic search solutions
• Develop reusable AI orchestration components and AI APIs
• Integrate enterprise data sources into AI knowledge bases
• Implement prompt engineering and context management strategies
• Work with AWS Cloud Infrastructure teams to use AI to provision and configure AWS Cloud infrastructure
• Design cloud-native AI architectures using AWS managed services
• Support infrastructure automation and deployment pipelines
• Ensure high availability, scalability, and resilience of AI workloads
• Coordinate networking, IAM, security, storage, and compute requirements
• Act as the primary technical liaison between: AWS Cloud Infrastructure teams, AI Platform teams, Security and IAM teams, Networking teams, Data Engineering teams, Application Development teams, Enterprise Architecture teams
• Lead technical workshops and architecture discussions
• Coordinate cross-functional delivery activities
• Mentor engineering teams adopting AI capabilities
• Ensure AI solutions comply with enterprise security and governance standards
• Design secure AI integration patterns
• Implement AI guardrails and Responsible AI controls
• Support AI evaluation, monitoring, and observability
• Drive AI platform best practices and reusable accelerators
Qualifications:
Required:
• 10–15 years of experience in Cloud Engineering, Platform Engineering, or Enterprise Architecture
• 4+ years of experience designing and implementing AI/ML and Generative AI solutions
• 2+ years of hands-on experience building RAG systems and AI Agents
• AWS Cloud: VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway, CloudWatch, CloudFormation, EventBridge, SNS/SQS, Step Functions, KMS, Secrets Manager, Terraform, Elasticsearch, Cost Analysis, Budgeting
• AWS AI Services: Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock Agents, Bedrock Guardrails, Textract, Comprehend, Transcribe, Rekognition, Neptune
• AI Technologies: RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex, AI evaluation techniques, Hallucination Mitigation Techniques, AI governance, LLM Models (Anthropic)
• Programming: Python, Java, REST APIs, SDK integration, Git, CI/CD, Claude Code
• Data Skills: SQL, NoSQL, Document processing, Data chunking, Metadata management, Data ingestion pipelines
• Leadership Skills: Executive communication, Cross-functional coordination, Technical leadership, Architecture governance, Stakeholder management
Preferred:
• Experience working in large enterprise or financial services environments is highly preferred
Company:
Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical staffing business since 1994. Founded in 1994, the company is headquartered in East Brunswick, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Alpha Consulting logo

About Alpha Consulting

Sourced by ZipRecruiter

Alpha Consulting is headquartered in East Brunswick, NJ, US and operates in the consulting sector. As a high-visibility consultant in the IT and pharmaceutical services industry, they deliver comprehensive project, process, and applications management solutions to businesses across these sectors. Empowering their clients to achieve their objectives through innovative and cost-effective strategies is the core belief of Alpha. Their mission is to offer experienced consulting and IT services that help clients attain their business objectives by seamlessly bridging the gap between business goals and technology implementation.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

1994

Social media

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