AI Temporary Staffing
AI Contract Staffing & Temporary AI Talent Nationwide
Build, deploy and scale artificial intelligence with specialized contract talent. Scion Technology recruits Generative AI Engineers, LLM Engineers, Machine Learning Engineers, MLOps professionals, AI Architects, AI Product Managers, data specialists and AI leaders for organizations across the United States.
Best of Staffing
Recognition
Technology Staffing
The AI talent you need changes as the initiative moves toward production
An AI strategy project requires a different team from an LLM application moving into production. Scion Technology can build contract searches around the specific stage, technical layer and business objective of your AI initiative.
Define the opportunity
AI strategists, consultants, architects, product leaders and business analysts.
Build the foundation
Data engineers, data scientists, architects and data platform professionals.
Create the intelligence
ML engineers, applied scientists, AI engineers and research talent.
Build modern AI experiences
LLM, RAG, NLP, agentic AI and conversational AI engineers.
Connect AI to products
AI software engineers, full stack developers and integration specialists.
Power the workload
Cloud AI, GPU, platform, infrastructure and distributed systems engineers.
Move into production
MLOps, ML platform, deployment, observability and reliability professionals.
Operate responsibly
AI governance, security, privacy, evaluation and risk specialists.
Tell us what you're building. We'll help identify the AI talent.
Employers do not always know whether the missing role is an LLM Engineer, MLOps Engineer or AI Architect. Start with the business and technical objective.
Build an AI Product
AI Engineers, Product Managers, Product Designers and software engineers.
Deploy an LLM Application
LLM Engineers, RAG Engineers, AI Integration Engineers and MLOps.
Productionize a Prototype
ML Platform, MLOps, cloud, infrastructure, evaluation and security talent.
Build Enterprise AI Agents
Agentic AI Engineers, architects, integration specialists and product talent.
Prepare Data for AI
Data Engineers, Data Architects, Data Scientists and ML Data Engineers.
Automate Business Workflows
Applied AI Engineers, Business Analysts, consultants and integration engineers.
Build Computer Vision
Computer Vision Engineers, Deep Learning Engineers and ML specialists.
Strengthen AI Governance
AI Governance, Responsible AI, security, privacy and model risk specialists.
Launch an AI Center of Excellence
AI leadership, architecture, engineering, product and governance talent.
Integrate Enterprise AI
AI Architects, Forward Deployed Engineers and integration professionals.
Scale AI Infrastructure
GPU, cloud, platform, networking and distributed systems engineering.
Add Interim AI Leadership
Interim Heads of AI, AI Directors, program leaders and transformation executives.
One “AI Engineer” title can represent completely different expertise
An engineer building enterprise retrieval systems may have little overlap with a Computer Vision Engineer, ML Platform Engineer or AI Infrastructure specialist. Strong AI hiring starts by understanding what the candidate actually built, deployed and operated.
Our search can be structured around the model environment, data architecture, infrastructure, frameworks, application layer, industry and stage of implementation relevant to your organization.
Describe Your AI NeedBuild production AI beyond the demo
Modern Generative AI initiatives span model selection, retrieval, agents, application integration, evaluation, security and production infrastructure. We recruit across that entire technical chain.
Model integration, inference, fine-tuning, optimization and application engineering.
Embeddings, retrieval pipelines, enterprise knowledge, vector search and grounding.
AI agents, tool use, orchestration, memory and human-in-the-loop workflows.
Connect AI to applications, APIs, CRM, ERP, databases and internal systems.
Quality, factuality, task performance, safety, latency and production testing.
Deployment, observability, infrastructure, cost management and scalability.
Specialized contract talent across the AI organization
Build a search around one specialized professional or combine multiple disciplines into a broader AI project team.
Generative AI & LLM
- Generative AI Engineer
- LLM Engineer
- Applied AI Engineer
- RAG Engineer
- AI Agent Engineer
- Agentic AI Engineer
- Conversational AI Engineer
- NLP Engineer
- Prompt Engineer
- LLM Evaluation Engineer
- AI Integration Engineer
- AI Application Engineer
Machine Learning & Modeling
- Machine Learning Engineer
- Senior ML Engineer
- Deep Learning Engineer
- Applied Scientist
- AI Research Scientist
- Research Engineer
- Computer Vision Engineer
- NLP Scientist
- Recommendation Systems Engineer
- Predictive Modeling Specialist
- Optimization Engineer
- Reinforcement Learning Engineer
MLOps & AI Platform
- MLOps Engineer
- ML Platform Engineer
- AI Platform Engineer
- Model Deployment Engineer
- ML Infrastructure Engineer
- AI Infrastructure Engineer
- GPU Infrastructure Engineer
- Cloud AI Engineer
- AI DevOps Engineer
- Model Observability Engineer
- AI Reliability Engineer
- Kubernetes ML Engineer
AI Data
- AI Data Engineer
- Data Engineer
- Data Scientist
- ML Data Engineer
- Analytics Engineer
- Data Architect
- Data Platform Engineer
- Data Quality Engineer
- Synthetic Data Engineer
- Vector Database Engineer
- Data Pipeline Engineer
- AI Analytics Specialist
AI Product & Delivery
- AI Product Manager
- Technical AI Product Manager
- AI Program Manager
- AI Project Manager
- Technical Program Manager
- AI Business Analyst
- AI Implementation Manager
- AI Solutions Consultant
- AI Product Designer
- Conversational UX Designer
- AI Delivery Lead
- AI Product Owner
Governance, Risk & Security
- AI Governance Lead
- Responsible AI Specialist
- AI Risk Specialist
- AI Security Engineer
- AI Compliance Specialist
- Model Risk Analyst
- AI Privacy Specialist
- AI Safety Specialist
- AI Policy Specialist
- AI Audit Specialist
- Model Evaluation Specialist
- Responsible AI Program Manager
Architecture & Transformation
- AI Architect
- Enterprise AI Architect
- Generative AI Architect
- Machine Learning Architect
- AI Solutions Architect
- AI Transformation Lead
- AI Strategy Consultant
- AI Implementation Consultant
- AI Enterprise Architect
- Forward Deployed Engineer
- Forward Deployed AI Engineer
- AI Solutions Engineer
Interim AI Leadership
- Interim Chief AI Officer
- Interim Head of AI
- Interim VP of AI
- Interim VP of Machine Learning
- Interim Head of Data & AI
- Interim Director of AI
- Interim Director of Machine Learning
- AI Program Director
- AI Engineering Director
- AI Transformation Director
Recruit around the environment your team actually uses
Searches can target professionals experienced across specific models, frameworks, data platforms, clouds and production environments relevant to your AI initiative.
Generative AI & Models
Machine Learning
LLM Frameworks
Data & AI Platforms
Cloud AI
MLOps & Infrastructure
Vector & Retrieval
Programming
Production AI
Most AI initiatives need different expertise as they mature
A promising proof of concept can stall when data, integration, infrastructure, security or production readiness becomes the next bottleneck. Contract staffing lets you add talent where the initiative is constrained.
A model creates business value only when it works reliably in production
AI initiatives often require a different talent mix once experimentation ends. MLOps, platform and infrastructure professionals help teams deploy, monitor, evaluate, secure and scale production AI systems.
Staff the infrastructure behind modern AI
Large AI workloads place unique demands on compute, storage, networking, orchestration and cloud infrastructure. Scion Technology can recruit the technical professionals that support the systems underneath AI applications and models.
Request AI Infrastructure TalentAI has to work inside your existing environment
The difficult part of enterprise AI is often not the model itself. The challenge is connecting it to applications, data, security controls, workflows and people already operating inside the organization.
That is why enterprise implementation may require AI engineering, architecture, integration, infrastructure, business analysis and product expertise working together.
Bridge the gap between an AI platform and the environment where it must actually work
Forward Deployed Engineers combine technical depth with customer-facing implementation work. They can help move AI capabilities from a platform or prototype into real business workflows and production environments.
Recruit Forward Deployed AI Talent →Build AI quickly without ignoring risk
As AI moves into enterprise operations, organizations may need dedicated expertise around governance, security, privacy, evaluation and model risk in addition to engineering talent.
Security
Model access, data protection, AI system security and technical controls.
Governance
Policies, model inventory, oversight, documentation and accountability.
Privacy
Sensitive information, training data, prompts, retention and data use.
Evaluation
Quality, reliability, safety, bias, performance and model behavior.
AI teams need specialists at every layer
The strongest AI organizations align leadership, product, engineering, data, infrastructure, governance and reliability rather than treating AI as one isolated role.
Specialized AI talent for organizations transforming how work gets done
AI hiring is no longer limited to technology companies. Searches can be aligned to the industry knowledge, business processes and technical environments relevant to your organization.
Technology & SaaS
AI-native products, copilots, agents, automation and platform intelligence.
Healthcare & HealthTech
Clinical technology, operational AI, healthcare data and patient experiences.
Financial Services
Risk, fraud, modeling, automation, customer intelligence and governance.
Insurance
Claims, underwriting, document intelligence and predictive modeling.
Retail & E-Commerce
Personalization, recommendation, forecasting, search and customer experience.
Manufacturing
Computer vision, predictive maintenance, robotics and intelligent operations.
Professional Services
Knowledge systems, enterprise automation and AI-enabled service delivery.
Education & EdTech
Adaptive learning, education platforms, analytics and intelligent content.
Media & Entertainment
Recommendation, personalization, content workflows and generative tools.
Gaming
AI gameplay systems, analytics, personalization and production tools.
Logistics & Supply Chain
Forecasting, routing, optimization and operational intelligence.
Energy & Utilities
Forecasting, asset intelligence, optimization and predictive systems.
Cybersecurity
Threat detection, automated response, AI security and security analytics.
Government
Data modernization, public services, responsible AI and automation.
Nonprofit Organizations
Service delivery, constituent engagement, analytics and intelligent automation.
Startups
AI product development, first engineering hires, prototypes and scaling.
Start with the problem your organization is trying to solve
| Business Need | Potential AI Application | Relevant Talent |
|---|---|---|
| Customer Service | AI agents and copilots | LLM Engineer, AI Integration Engineer |
| Knowledge Management | Enterprise RAG | RAG Engineer, Data Engineer |
| Software Development | AI developer tools and coding assistants | Applied AI Engineer, Software Engineer |
| Forecasting | Predictive machine learning | Data Scientist, ML Engineer |
| Fraud & Risk | Detection and predictive modeling | ML Engineer, Data Scientist |
| Document Processing | NLP and intelligent extraction | NLP Engineer, Applied AI Engineer |
| Manufacturing | Computer vision | Computer Vision Engineer, Deep Learning Engineer |
| Personalization | Recommendation systems | ML Engineer, Applied Scientist |
| Business Operations | Intelligent automation | AI Engineer, Integration Engineer |
| Enterprise Transformation | Organization-wide AI implementation | AI Architect, Program Manager, Consultant |
Scale staffing around the initiative
An AI project may begin with one specialized engineer and expand into a cross-functional team as data, infrastructure, product and production requirements grow.
One Specialist
Add one LLM, ML, MLOps, data or AI engineering professional.
AI Engineering Pair
Combine application or model engineering with data or platform expertise.
AI Product Team
Combine product, AI engineering, data, design and software development.
AI Transformation Team
Combine leadership, architecture, engineering, MLOps, security and governance.
Build the workforce around the life of the initiative
AI Contract Staffing
Add specialized AI expertise for a project, implementation, product build, workload surge or temporary capacity need.
Contract-to-Hire
Address an immediate AI need while preserving the option for long-term employment.
Direct Hire AI Recruiting
Recruit permanent AI, machine learning, product, architecture and data talent.
Interim AI Leadership
Add senior AI leadership during transformation, growth, organizational change or a permanent search.
A list of models and frameworks does not tell you what someone actually built
AI recruiting should uncover the depth, ownership and production context behind the resume.
What models, systems, applications and infrastructure has the candidate actually built?
Have they moved AI beyond experimentation into real operating environments?
How have they worked with training, retrieval, feature and production data?
Can they explain the system design and technical tradeoffs behind their work?
How did they measure model or application performance and quality?
What level of users, data, traffic, models or infrastructure did they support?
Can they connect technical decisions to the actual product or business objective?
Which parts of the system did they personally design, build, deploy or operate?
Add specialized capability without forcing every AI skill into permanent headcount
Access Scarce Expertise
Bring specialized experience into the organization for a defined technical need.
Accelerate Delivery
Increase engineering capacity around milestones, launches and implementations.
Bridge Skill Gaps
Add capabilities your current team does not yet possess.
Scale Around the Roadmap
Increase capacity during intensive development and implementation periods.
Support Permanent Hiring
Keep critical AI work moving while building the long-term organization.
Test Emerging Initiatives
Build the initial team around a new AI opportunity before determining its permanent structure.
Do not let one local market limit access to specialized AI expertise
Highly specialized AI capabilities may be difficult to find in one city. A national search can expand access to LLM, machine learning, MLOps, AI infrastructure and governance talent while still supporting onsite and hybrid requirements where needed.
Scion Technology recruits across U.S. markets and can structure searches around remote, hybrid or onsite work.
Start a National AI SearchWhen the AI work is real and the team is not complete
AI contract staffing across the United States
Recruit in a major technology market, across multiple locations or nationally for remote AI expertise.
West
Seattle, Portland, San Francisco, Silicon Valley, Los Angeles, San Diego and surrounding markets.
Mountain
Denver, Salt Lake City, Phoenix, Las Vegas and surrounding markets.
Central
Austin, Dallas, Houston, Chicago, Minneapolis, Kansas City and more.
East
New York, Boston, Washington DC, Philadelphia and surrounding markets.
National Remote
Expand access to specialized AI talent throughout the United States.
AI contract staffing questions
Answers for employers considering AI Engineers, LLM Engineers, Machine Learning professionals, MLOps talent and broader AI project teams.
What is AI contract staffing?
What types of AI contractors can Scion Technology recruit?
Can Scion recruit Generative AI and LLM Engineers?
Can Scion recruit RAG Engineers?
Can Scion recruit Agentic AI Engineers?
Can Scion recruit MLOps Engineers?
Can Scion recruit AI Infrastructure Engineers?
What is a Forward Deployed AI Engineer?
Can Scion recruit AI governance and responsible AI professionals?
Can Scion recruit contract AI Product Managers?
Can Scion staff an entire AI project team?
Can Scion provide remote AI contractors?
When should an organization use contract AI talent?
Can Scion recruit AI professionals for healthcare, finance or other specialized industries?
Does Scion offer contract-to-hire AI staffing?
Does Scion recruit permanent AI professionals?
Can Scion recruit interim AI leaders?
What should we provide when starting an AI contractor search?
Related contract technology staffing
AI delivery increasingly depends on software, data, infrastructure, security, product and project talent working together.
Building the long-term AI organization too?
Contract staffing can solve immediate project and capacity needs. Scion Technology also recruits permanent AI professionals and senior technology leadership when your organization is building enduring AI capability.
Where is your AI initiative getting stuck?
Tell us what you are building, what stage the initiative has reached and which technical capability is missing. Scion Technology can build a national contract search around the AI, machine learning, data, infrastructure, product or governance expertise needed to move the work forward.