Take any CTO who has attempted to recruit a machine learning engineer in the past 18 months, and you will hear a similar story. The role goes up, and the candidate pipeline appears to be in good condition for the first two weeks. Then, it stalls. The applicants lack experience, have multiple offers, or are asking too much. The hunt lasts for three months, and the project slips.
Enterprises should not deceive themselves into thinking that this is a recruitment problem. It’s a structural one. According to JobsPikr, AI engineer-related jobs increased by over 2.15 times in six months, rising from 26,500 to 55,000 in the second half of 2025 alone, followed by a lack of qualified candidates. The world is facing a shortage of AI talent that is 3.2 to 1, according to a recent report by Global Knowledge. More than 1.6 million AI jobs are available around the world, but there are only 520,000 qualified candidates to fill them.
Cloud engineering is in a similar situation. By 2026, the U.S. will be short 1.2 million software engineers and the shortage of technology workers worldwide could cost the global economy $5.5 trillion (about $17,000 per person in the US) in lost productivity and delayed projects, according to IDC.
This is why specialized IT staffing agencies have been created. The 10 companies featured below have each developed a set of capabilities that help them recruit technical talent, screen for AI and cloud positions, with hiring models are flexible enough to match the pace of tech teams.
The State of AI and Cloud Talent Hiring
The ManpowerGroup 2026 Talent Shortage Survey, released in March this year, confirmed what hiring teams have been feeling on the ground. AI model and application development became the most difficult skill to fill, for the first time ever, cited by 20% of employers in the survey. AI literacy came second at 19%. The once-dominant jobs in the traditional engineering field fell to seventh place.
Globally, 72% of employers say they struggle to find the talent they need. It has remained over 70% three years in a row, though the composition has changed drastically. The days of companies looking for generalist software engineers are over. They are facing a shortage of individuals with the ability to scale up and deploy AI systems as well as generate and regulate them at production scale.
Cloud roles face related pressure. In the current landscape, cloud security engineer, DevSecOps, and solutions architect are a handful of roles that have had a steady demand due to the fast pace of enterprise cloud migration. The price premiums for AWS, Azure, and Google Cloud certification holders are quite high, and the number of certified candidates has not kept up with the shift of workloads to the cloud.
In an environment like this, businesses that attempt to fill AI and cloud positions with traditional recruitment methods are likely to be outcompeted by those who already have established partnerships with niche staffing agencies. The companies listed here have been working on talent development and screening for years, in some cases decades, that have made them successful in these types of situations.
So, why should one recruit AI engineers via an agency?
In-house recruitment teams are competent. But why do so many engineering leaders opt to work with AI recruitment agencies when hiring becomes challenging?
One solution is to increase speed. Staffing firms such as Peterson Technology Partners provide shortlists of vetted AI developers within 24 hours, with the help of a proprietary candidate database along with AI-powered matching. An internal recruiter will have to wait 4-6 weeks on a machine learning engineer search to return a first-round offer to them from the ground up.
Another consideration is vetting depth. It takes technical acumen, which most HR generalists lack, to screen a generative AI engineer. The more successful AI developer hiring agencies have people with backgrounds in engineering or technical who can determine if someone has the real-world experience with transformer architectures, MLOps pipelines or LLMs fine-tuning. That’s a filtering operation that’s not easily implemented without the experts.
Flexibility in models is also important. This is because a company developing an AI proof of concept doesn’t require a full-time employee. A company that has raised funds and now scales its cloud platform could require 10 engineers over 8 weeks. Contract, contract to hire, and permanent placement agencies can adapt according to the demands in a manner that internal pipelines simply cannot.
What happens when a placement doesn’t work? The top IT staffing companies such as Peterson Technology Partners provide replacement guarantees.
IT Staffing Firms for Cloud Engineers
Cloud hiring has its own logic. While these are technical roles, they also involve making decisions on architecture, security posture, platform-specific tooling, which varies significantly by AWS, Azure, and GCP. Someone who excels in one DevSecOps stack could require weeks to get up to speed in another.
The best cloud recruitment firms have created screening procedures that take this into account. They keep categorized talent pools according to certification, platform experience, type of engagement. The best firms will be able to match with a cloud security engineer certified in Azure and a client who requires one for a 90-day modernization sprint without posting a job description and waiting.
Cloud staffing agencies also tend to preserve connections with applicants who are not looking to work. Passive employees, those who are currently employed but doing a good job, represent a disproportionately large percentage of the best technical jobs. Long-standing agencies have already built up the credibility to tap into that segment. Very rarely can internal recruiting.
The top 10 best tech staffing firms to add AI and cloud talent to your team
The following list of top AI and cloud hiring companies was determined by four criteria: proven experience in AI and cloud projects and placements, breadth of industry experience, talent network, and flexibility in hiring models.
1. TEKsystems
Enterprise-class coverage of 81% of the IT workforce.
Cloud strategy, modernization, and management, from a cloud service perspective, encompasses cloud migration planning and continued cloud operations support.
AI services: TEKsystems has documented over $5 million in client savings through service desk automation. Top AI roles placed include security risk analyst AI, AI engineer, and full-stack developer. Industries served: Financial services, healthcare, public sector, telecommunications, technology enablement, media and entertainment, retail and manufacturing, energy. Talent network: TEKsystems covers 81% of the IT workforce through its network, one of the broadest reaches in the industry.
Hiring models: Contract, contract-to-hire, and direct placement. Enterprise clients can also engage TEKsystems for managed services and outcome-based delivery. TEKsystems is the staffing partner of choice when scale is the primary requirement. Their network depth makes them effective for large-scale hiring initiatives across multiple locations and disciplines simultaneously. Healthcare and financial services clients in particular cite consistent quality at volume.
2. Robert Half Technology
More than 300 locations, AI-generated candidate previews, and local market depth.
Cloud services: Networking and cloud talent to optimize infrastructure, improve connectivity, and scale cloud solutions.
Key jobs: Systems administrator, cloud engineer, network engineer.
AI services: AI, machine learning and data science placements for creating intelligent solutions and innovation. Top job roles: AI architect, machine learning engineer, data scientist.
Industries: Finance and accounting technology, marketing and creative, legal, administrative and customer support.
Talent network: 300+ locations globally for remote, on-site, and hybrid talent.
AI matched candidate previews: Clients can browse candidates online before booking in for a consultation. Contract and permanent employment opportunities are available.
With AI matching, Robert Half’s online candidate preview cuts hiring managers’ initial review time. If a business is looking to make faster decisions on shortlists without compromising on the quality of the candidates, that interface gives a real edge.
3. Peterson Technology Partners (PTP)
27 years of experience in IT staffing, AI-driven recruiting solutions, and a proventrack record with Fortune 500 companies.
Cloud Services: PTP hires cloud architects, engineers and cloud security professionals across Azure, AWS, and GCP cloud platforms. These engagements can be as individual contributors or full sprint teams on cloud migration and cloud modernization initiatives.
AI services: An integral part of their expertise is AI and machine learning recruitment. PTP hires AI engineers, AI product managers, data scientists, ML engineers, and MLOps specialists. PTP is an AI-first company, leveraging its own AI recruiting solution with the help of their AI hiring agent, to speed up their candidate matching and screening process. Industries covered: Fortune 500 firms in financial services, healthcare, manufacturing, defense, energy and technology. PTP also makes a good fit for high growth startups that require quick team building of technical staff. Talent network: Relationships with the technical community spanning AI, data science, cloud computing, cybersecurity, and DevOps for nearly 30 years. Pre-vetted candidates that can be hired for onshore, nearshore, and offshore assignments. Opening regional offices in the United States in 2025, PTP was active in expanding its presence in the region with new offices in Atlanta, Detroit, and Nashville. Contract staffing, contract-to-hire, direct placement and fully managed project teams. Delivers to onshore, nearshore, and offshore locations.
PTP has a unique and valuable position: deep knowledge of the client infrastructure for a firm that has serviced Fortune 500 companies for almost three decades. Its AI-led recruiting platform ensures that shortlists are returned quickly, much faster than most other generalist companies. The placement guarantee gives the client additional assurance when hiring a technical employee for a high stakes project.
PTP is always an excellent option for organizations looking to hire teams with speed and accuracy, especially when it comes to AI developer hiring, DevOps staffing, and cloud engineer positions.
4. Insight Global
A global audience (over 50 countries) and end-to-end AI team building.
Cloud services: Cloud consulting and talent solutions to speed time to market and enable a more robust security posture. Key positions: solution architect, cloud security expert, DevSecOps engineer.
Insight Global provides design-and-build models, custom AI team assembly, and end-to-end collaboration on AI initiatives through AI services. The most sought-after positions: AI engineer, AI developer, AI product manager.
Industries supported: Accounting, Administrative, Auto, Clerical, Construction, Creative, Customer Service, Education, and many more. Insight Global’s industry focus is quite wide compared with others on the list.
Talent network: International services that exist on both small and large scale.
Different hire models: Contract, direct hire, project team builds. The end-to-end AI team assembly model works best for a company starting new practices in AI, instead of filling in positions that already exist.
Insight Global’s extensive global footprint and organized AI team building capabilities may make it a suitable company to implement new AI functions from ground up, instead of augmenting current teams. An interesting aspect of their placement depth in DevSecOps is their involvement with cloud-native style organizations that have compliance standards.
5. Apex Systems
The ASGN brand, delivered to 70+ regions across North America, is an outcome-based model.
Cloud services: Cloud infrastructure experts for migrations and optimizations across AWS, Azure, and Google Cloud. Apex is a comprehensive staffing solution that is available from advisory to implementation.
AI services: AI and machine learning engineers for predictive analytics and automation projects Apex introduced Peak CX-AI to the AWS Marketplace in 2025, making it a player in the agentic AI space. Over 350 consultants certified and accredited by AWS are on board with the firm.
Serves industries ranging from healthcare to financial services to technology to enterprise, mid-market to Fortune 1000. Excellent at leading large-scale digital transformation projects.
Talent network: Proprietary database of 20 million+ people. Delivers vetted talent in 24-72 hours. Nearshore operations in Mexico in 70+ markets throughout North America.
Hiring models: full time permanent placements, contract-to-hire (evaluates for 3 to 6 months), temporary contract staffing and SOW based delivery. Apex is an ASGN brand that provides access to more managed services via the parent company.
Apex has built up its reputation over time for delivering a product of consistent quality, and 11 years of the ClearlyRated Best of Staffing Diamond Talent Award, is a certification based on structured client feedback. The AWS partnership and agentic AI product launch is more than just volume placement.
6. Kforce
The 18,000 verticals of staffing experts are placed annually, and the organization’s dual tech/finance vertical has been in existence for 60 years.
Cloud services: Cloud architecture skills for modernization of infrastructure and scalable platform builds. Kforce matches engineers with clients who have specific needs on AWS, Azure, and GCP, but who are interested in enterprise-scale deployments.
AI services: AI engineering, Cloud-based ML model development, Data pipeline staffing. Kforce hires experts in the fields of LLMs, agentic AI processes, and multimodal systems at scale. The company has a development center in Pune, India for multi-shore delivery.
Business sectors covered: Technology, Financial and accounting, Health care and Communications. Clients in the Fortune 500 across several industries.
About 18,000 professionals being placed every year in the talent network. Competitive local-market depth in a few U.S. metros. National level through KNOWLEDGEforce platform with AI based screening in candidate matching.
Temporary staffing, contract-to-hire, direct placement and managed teams. Multi-shore delivery through Pune development centre.
The difference with Kforce is depth of relationships, not speed. It’s recruiters who take the time to understand the team’s dynamics and the team’s long-term goals, not just the need to fill in some specs. That is done more effectively for organizations that need to have complex cultural fit requirements as well as technical ones for which that approach yields better retention for the organization. Moreover, the tech- and finance-facing staffing team is also a valuable team to operate for companies with frequent demands for talent in both categories.
7. Collabera
Fortune 500 relationships, Global Capability Center expertise, fast cycle enterprise staffing.
Cloud services: Staffing of cloud engineering, architecture and platforms in strong delivery in Global Capability Center environments. In 2025, Collabera staffed the significant AI and cloud center construction projects in Bengaluru and Hyderabad.
AI services: Enterprise Software, Large Scale Implementation, and Program Management Consulting and Talent for AI and Data Science. Collabera’s expertise lies in large volume placements at speed for companies who have a constant demand for technical hires.
Industries supported: Banking, healthcare, energy, telecommunications, and technology. Serves North America, Europe and Asia.
Talent network: Enterprise-level hiring networks. Reaches 3 continents. Likely recognized for its regular supply of cloud, data science and AI developers to ensure long-term client programs.
Staff augmentation (temporary and permanent) in a Total Talent approach. Role-specific pricing for engagements, engagement complexity, and engagement duration.
Collabera is ideal for large companies that have regular hiring needs, but not for businesses that only require one or two employees from time to time or for project-based jobs. Its process is designed to be fast and efficient at scale, and its enterprise contracting experience with Fortune 500 procurement teams allows it to move through enterprise contracting efficiently.
8. Randstad Digital
Unique onboarding video trainings and AI-driven candidate matching, top-to-bottom STEM diversity initiatives
Cloud services: Cloud engineering, digital transformation talent, and infrastructure staffing. Randstad’s technology division is targeted at mid-level to senior level positions, with a focus on finding candidates that fit the company’s technological needs and its culture.
AI services: AI and data science roles in software development, analytics and applied machine learning. Randstad has in-house AI-driven matching technology that assesses the likelihood of candidates being successful.
Industry: IT, engineering, finance, healthcare, manufacturing and more. Very common throughout Europe, North America and Asia.
Talent network: One of the world’s three biggest revenue-generating staffing companies. Operates in 39 countries. Named a Top 50 Company for Diversity by DiversityInc and boasts programs in place to promote women in STEM pipelines.
Hiring models: Flexible working conditions, permanent appointments and RPO (Recruitment Process Outsourcing) when clients want Randstad to take care of the hiring process.
Randstad Digital is the obvious option for multinational companies that require consistency in geographies. The RPO model works well for companies that are experiencing substantial increases in their headcount needs, as the relationship with the agency becomes an operational challenge in itself.
9. Experis (ManpowerGroup)
In ManpowerGroup, staffing is a main component of full managed delivery, provided by the IT arm 75+ countries.
Cloud services includes cloud transformation staffing, enterprise application support and infrastructure engineering. From individual contract engineers to managed cloud project delivery, Experis has everything covered.
AI services: Software development, AI engineering and cybersecurity placements. Experis leverages their expertise in the field and ManpowerGroup’s infrastructure all over the world. A new study released by ManpowerGroup at MWC 2026 has been identifying AI model and application development as the most difficult-to-fill skill around the world.
Industries supported: Technology, finance, engineering and healthcare. Providing a strong service for clients, who may be multinational and require the same delivery from a single account.
Talent network: ManpowerGroup’s activities take place across more than 75 countries. This footprint can be applied at the team level and on a per-person basis as well by Experis.
Contract staffing models, contract-to-hire, permanent placement and project-based managed services. From one person to multi-team delivery program.
When it’s a true challenge, Experis is the answer. Multi-team cloud transformation projects, multi-national compliance mandates, or projects that shift from contract work to the full project ownership during engagement. It’s also consultative, which can be beneficial for clarifying fuzzy job requirements, a scenario that is more likely to happen than hiring teams realize, particularly in the case of AI jobs.
10. BairesDev
Ramp-up to sub-2 weeks, top 1% engineering model, and technical talent from Latin America.
Cloud services: Cloud Computing, Data Engineering, and Infrastructure Staffing, all staffed by mostly Mexican, Brazilian, and Argentinian Engineers. Fluency in English and ease with U.S. time zones.
AI services: AI and machine learning development, predictive model building, AI powered automation, mobile AI application. BairesDev has facilitated team builds for fintech solutions, digital banking and enterprise applications that demand CI/CD pipelines and cloud migrations. Typical clients: Fintech, healthcare technology, e-commerce, and enterprise software. Operating in the U.S, Europe and Latin American markets. Talent network: States that seek to hire the top 1% of technical talent from Latin America. The average time for key roles is less than two weeks, which is quicker than many of these companies. Staff augmentation, or dedicated engineering squads. Most engagements are on a monthly basis with variable team size.
BairesDev is in a category of its own: nearshore technical personnel who can seamlessly fit into the U.S. engineering process without the “offshore time zone” drawback. It is one of the most operationally feasible solutions for businesses seeking to scale rapidly on AI and cloud initiatives without the exorbitant prices of U.S. market rates.
| Company | Key Strength | Cloud Services | AI Services | Industries Served | Talent Network | Hiring Models | Best For |
| TEKsystems | Enterprise-scale IT staffing | Cloud strategy, modernization, migration support, cloud operations | AI engineer, security risk analyst AI, service desk automation | Financial services, healthcare, telecom, retail, energy | Covers 81% of IT workforce | Contract, contract-to-hire, direct placement, managed services | Large-scale hiring across multiple locations |
| Robert Half Technology | AI-matched candidate previews | Cloud infrastructure, networking, cloud engineers | AI architect, ML engineer, data scientist | Finance, technology, legal, marketing | 300+ global locations | Contract and permanent hiring | Faster shortlist decisions |
| Peterson Technology Partners (PTP) | AI-first recruiting infrastructure | AWS, Azure, GCP cloud staffing | AI engineers, MLOps, data scientists, AI PMs | Financial services, healthcare, manufacturing, defense | 27 years of technical recruiting relationships | Contract, direct hire, managed teams | AI developer and cloud hiring |
| Insight Global | International AI team builds | Cloud consulting, DevSecOps staffing | AI engineers, AI developers, AI PMs | Education, automotive, accounting, construction | Services across 50+ countries | Contract, direct hire, project-based teams | Building AI teams from scratch |
| Apex Systems | AWS-focused enterprise delivery | AWS, Azure, Google Cloud staffing | Predictive analytics, automation engineers | Healthcare, financial services, enterprise tech | 20M+ candidate database | Permanent, contract-to-hire, SOW delivery | Enterprise digital transformation |
| Kforce | Relationship-driven staffing | Enterprise cloud architecture staffing | LLMs, multimodal AI systems, AI engineering | Technology, finance, healthcare | 18,000 professionals placed annually | Temp staffing, managed teams, direct hire | Long-term cultural fit hiring |
| Collabera | High-volume enterprise staffing | Cloud engineering, GCC staffing | AI and data science staffing | Banking, telecom, healthcare, energy | Global enterprise hiring network | Staff augmentation, permanent staffing | Fortune 500 scale hiring |
| Randstad Digital | Global staffing consistency | Cloud engineering, digital transformation | AI-powered candidate matching, ML staffing | IT, finance, engineering, healthcare | Operates in 39 countries | Permanent, RPO, flexible staffing | Multinational workforce expansion |
| Experis (ManpowerGroup) | Complex global hiring delivery | Cloud transformation and infrastructure staffing | AI engineering, cybersecurity staffing | Technology, engineering, healthcare | Presence in 75+ countries | Contract, permanent, managed services | Multi-country transformation projects |
| BairesDev | Nearshore LATAM engineering talent | Cloud computing, infrastructure staffing | AI automation, predictive models, AI apps | Fintech, healthcare tech, e-commerce | Top 1% LATAM engineering talent | Staff augmentation, dedicated squads | Fast nearshore engineering scale |
Selecting the perfect AI Recruitment Agency for your requirements
No one firm is the right choice for everyone. The best partner for a particular need will depend on the nature of the jobs you are filling, the time frame you are operating under, if it’s a contract or permanent role, and the area in which you are hiring. TEKsystems, Apex Systems, and Collabera have the systems in place to support high-volume hiring processes in multiple locations for enterprise-sized volumes. Peterson Technology Partners and Kforce have genuine domain expertise in addition to the placement capability in the field of AI and machine learning recruitment. Randstad Digital and Experis can ensure quality in several country context with one relationship in the case of multinational programs. And, when speed-to-productivity is a requirement on a budget constraint, BairesDev’s nearshore solution can be a viable alternative to the U.S. market rate premium.
The common thread in each of these ten is that the top DevOps staffing firms and AI developer hiring firms have cultivated a screening depth and relationships with candidates that take years to establish. In a market where the demand for AI talent is outpacing the supply by more than double is crucial.
Frequently Asked Questions
Which IT staffing agencies are the best for AI and cloud talent?
Peterson Technology Partners (PTP), TEKsystems, Apex Systems, Kforce, and Experis are the leading companies to hire AI and cloud software developers in 2026. PTP is distinguished by its AI-driven recruiting platform and expertise in technical recruitment. For enterprise-scale volume, TEKsystems and Apex are best. Multirole and complex engagements are best suited for Kforce and Experis because they provide staffing and consulting services.
What staffing companies are there for AI developers and machine learning engineers?
Staffing firms such as Peterson Technology Partners, Kforce, Robert Half Technology, and Insight Global all have dedicated teams to staffing AI developers and ML engineers. PTP employs their own AI-powered recruiting tools for AI, Data Science and MLOps positions. Experis and Randstad Digital also have curated talent pipelines for machine learning positions for senior or specialized positions.
What are the ideal ways for businesses to engage AI and cloud engineers via staffing agencies?
The vast majority of these companies have direct placement, contract, and contract-to-hire programs. It typically begins with a role brief and skills specification, then agency opens up its shortlist and shortlists candidates. Typical roles can be provided with initial shortlists within 24 to 72 hours by firms such as Apex and PTP. The agency’s technical recruiting team can be consulted for complex or specialized needs to help narrow the criteria before the search process starts.
When hiring an agency for DevOps staffing, what should I look for?
If you’re looking for DevOps staffing agencies, look for those that have some technical screening in addition to placing staff. Discuss if their recruiters have an engineering background or how they measure platform-specific experience: AWS, Azure, GCP. Find companies that have placement guarantees and experience with DevOps and cloud-native environments. There are specialized DevOps and DevSecOps talent pipelines for Apex Systems, PTP, and Insight Global.
Do you know of any staffing agencies with expertise in both AI and cloud positions?
Yes. Peterson Technology Partners, TEKsystems, Apex Systems, and Insight Global are among the organizations that place talent in the areas of AI and cloud. This is particularly important if you are creating integrated teams where the same engineer is required to be fluent in both cloud infrastructure and AI/ML workflows, such as in a role like an MLOps lead, an AI infrastructure architect, or a cloud-based engineer.
What is the time to fill an AI developer role by an IT staffing agency?
That depends on the business and the level of difficulty of the job. In the case of pre-vetted contracts such as in PTP and Apex systems, shortlisting is done within 24 to 72 hours. Common timelines for senior or specialized permanent positions are 1-3 weeks from search to shortlist. Speed is influenced by location requirements, security clearance requirements, and the exactness of the technical specification.
