PHOENIX DATA & AI RECRUITMENT
OVERVIEW
Phoenix Data & AI recruitment is an important part of the city's economy, as it is home to many businesses and organizations that rely on data to make decisions. Companies in Phoenix use Harnham to find the right data professionals to fill their needs.
Harnham has a large database of qualified data & AI professionals, including AI Architects, data engineers, data analysts, and data scientists, who can help companies make the best decisions. Harnham's data recruitment services allow businesses to find the right data professionals quickly and efficiently.
Additionally, Harnham can provide data experts with the skills and experience needed for specific projects, helping companies stay up-to-date with the latest data trends and insights.
This allows companies that Harnham works with in Phoenix to stay ahead of the competition and maximize their data-driven decisions.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior level including AI jobs, Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands
WHAT SETS OUR PHOENIX DATA & AI RECRUITMENT TEAM APART?
Harnham has a great network of experienced and qualified Data & AI professionals in Phoenix and Arizona.Â
We have established relationships with local universities and businesses to ensure we are able to source the best talent in the area.
Our team of Phoenix Data & AI Recruitment experts have the knowledge and expertise to identify the right candidate for your data role, be it an AI Architect, Machine learning engineer, Data analyst, Data scientist, Data engineer or other.
We also have a commitment to diversity in the workplace and actively seek out the best talent regardless of gender, age, race, and ethnicity. We believe in giving everyone an equal opportunity to excel in their field.
With our local presence, we are able to provide invaluable insight into the local job market, meaning you get the best of both worlds – access to the best Data & AI professionals in the area and the expertise of a global recruitment leader.
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JOBS
LATEST PHOENIX
DATA AND AI JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.
Lead Data Scientist
Phoenix, AZ
$140000 - $150000
+ Data Science & AI
PermanentPhoenix, Arizona
To Apply for this Job Click Here
LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS
TEMPE, AZ (HYBRID)
$140,000 – $150,000 BASE + ANNUAL BONUS
The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.
This is a highly visible leadership role where you’ll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.
You’ll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.
What You’ll Do
- Lead analytical initiatives from problem definition through implementation and measurement
- Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
- Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
- Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
- Collaborate with senior stakeholders to translate business challenges into analytical solutions
- Present findings and recommendations to leadership through compelling data storytelling and executive presentations
- Guide and mentor less experienced team members on project execution and analytical methodologies
- Build scalable processes and analytical frameworks that improve business performance over time
What We’re Looking For
- 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
- Experience applying statistical and machine learning techniques to real-world business problems
- Advanced Python and SQL skills with experience working across large, complex datasets
- Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
- Proven track record of influencing business decisions through data-driven recommendations
- Excellent communication skills with the ability to explain complex concepts to executive audiences
- Experience leading initiatives independently with minimal direction
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline
Nice to Have
- Master’s degree in a quantitative discipline
- Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries
- Background in risk management, portfolio analytics, or credit-related modeling
- Exposure to model validation, governance, audit, or regulatory review processes
- Knowledge of cloud-based data environments including AWS and Snowflake
- Experience utilizing bureau data, scorecards, or advanced forecasting methodologies
Why This Role
- High-visibility role with regular interaction with executive leadership
- Opportunity to drive business outcomes through production-ready analytics and machine learning
- Strong autonomy and ownership over projects and strategy
- Work on initiatives with measurable multi-million-dollar business impact
- Mentor and influence without direct people-management responsibilities
- Collaborative, supportive culture that values innovation, curiosity, and continuous improvement
- Opportunity to see your models implemented and your work recognized across the organization
If you’re a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we’d love to connect.
To Apply for this Job Click Here
Machine Learning Engineering Manager
$200000 - $240000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Machine Learning Engineering Manager
USA Remote $200,000 – $230,000 base + bonus + equity
A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.
The Company
They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.
The Role
* Build and deploy production-grade ML models for real-time systems
* Design scalable ML pipelines and infrastructure for high-throughput environments
* Develop offline experimentation and evaluation frameworks
* Improve model performance through statistical methods and feature engineering
* Work with distributed systems and large-scale data processing
* Partner with cross-functional teams to deliver ML solutions aligned to business needs
* Own the full lifecycle from experimentation to production and monitoring
Your Skills & Experience
* Strong commercial experience in Machine Learning Engineering
* Expertise in Python, SQL, and distributed frameworks such as Spark
* Deep understanding of model evaluation, experimentation, and statistics
* Experience building scalable ML systems from first principles
* Team leadership experience
What They Offer
* $200,000 – $240,000 base salary + bonus + equity
* Fully remote working in the US
* Unlimited paid time off and flexible working
* Comprehensive health and financial benefits, including 401k
* Learning budget and clear ownership of high-impact systems
How to Apply
Apply now to explore this Machine Learning Engineering opportunity.
To Apply for this Job Click Here
Principal AI Engineer
$250000 - $300000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Software Engineer
Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity
A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.
The Company
They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.
The Role
This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.
You will:
- Lead the architecture, development, and scaling of a cloud-native AI platform
- Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
- Drive engineering best practices, software quality, and code review standards
- Build and deploy production-grade AI and LLM-powered applications
- Own technical decision-making across application architecture, infrastructure, and platform scalability
- Partner closely with product and business stakeholders to deliver commercially valuable solutions
- Play a key role in shaping the future engineering organisation as headcount grows
Your Skills & Experience
- Strong commercial experience building software applications in Python
- Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
- Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
- Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
- Strong understanding of multi-model AI environments and working with leading foundation model providers
- Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
- Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
- Experience working within startup, or other lean engineering environments
- Interest in AI adoption, automation, analytics, or operational transformation projects
What They Offer
- Up to $300,000 total cash compensation including bonus
- High levels of ownership and technical influence
- Opportunity to shape engineering culture, processes, and platform architecture
- Greenfield environment with modern technologies and no legacy estate
- Clear career progression as the engineering organisation scales
How to Apply
If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.
To Apply for this Job Click Here
Data Scientist (Agentic AI)
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Data Scientist (Agentic AI)
Location: Remote (U.S. Based)
Pay: $200k – $230k Base
About the Role
A rapidly growing technology consulting organization is seeking experienced Data Scientists with deep expertise in Agentic AI to support the delivery of enterprise-scale AI solutions. This role focuses on designing, building, and deploying production-grade autonomous AI systems within complex cloud environments. Candidates will work directly on active client engagements, leveraging cutting-edge AI technologies to solve business-critical challenges.
Responsibilities:
- Design, build, and deploy production-ready Agentic AI solutions for enterprise clients.
- Develop and optimize autonomous AI agents, multi-agent systems, and orchestration frameworks.
- Collaborate with engineering, data, and cloud teams to deliver scalable AI applications.
- Build AI workflows utilizing modern LLM architectures and agent frameworks.
- Develop solutions within AWS cloud environments using best practices for scalability and security.
- Evaluate, monitor, and improve agent performance in production environments.
- Work closely with stakeholders to translate business requirements into AI-driven solutions.
- Contribute to AI architecture decisions and technical strategy across client projects.
Must Have Qualifications:
- 6+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
- Hands-on experience building and deploying Agentic AI solutions in production environments.
- Strong experience with AWS cloud technologies and AI/ML services.
- Experience working with LLMs, autonomous agents, multi-agent systems, and AI orchestration frameworks.
- Proficiency in Python and modern machine learning development tools.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
To Apply for this Job Click Here
Staff Machine Learning Engineer | Generative AI
PALO ALTO or NYC
$400000 - $650000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
About the Role
We are partnering with a Fortune 100 financial institution on a Staff Machine Learning Engineer opportunity within its enterprise AI organization. The team is responsible for developing and scaling LLM-powered products and reusable AI services that support AI adoption across the organization.
The firm’s enterprise LLM platform is used by more than 320,000 employees, with AI applications spanning chatbots, text-to-code, database interactions, workflow automation, and AI agents.
What You’ll Do
- Build and optimize scalable LLM-based products and AI applications.
- Combine large-scale data assets with cutting-edge AI, including LLMs and multimodal LLMs.
- Bridge scientific research and software engineering, taking ideas from research into production.
- Design and deliver production architectures in collaboration with Cloud and SRE teams.
- Build reusable backend APIs that allow other teams to leverage AI capabilities within their own products.
- Prototype, code, and deploy ML solutions independently.
- Design systems capable of handling large volumes of requests while maintaining performance and reliability.
- Work across applications including:
- Chatbots
- Text-to-code
- SQL/database interactions
- Workflow automation
- AI agents
Scale & Impact
- Enterprise LLM platform used by 320,000+ employees.
- Platform enables employees to accelerate their ML adoption, going from 0-80% in their ML journey in approximately three days instead of months.
- First-week releases can produce tools used by 100,000 employees.
- Strong emphasis on adoption, productivity, and measurable enterprise impact.
What We’re Looking For
- Strong production Machine Learning Engineering background.
- Deep understanding of ML/AI foundational models and API-based LLM integrations.
- Experience building and deploying production ML systems independently.
- Strong software engineering and system design fundamentals.
- Experience designing scalable systems and production architectures.
- Ability to bridge research, ML engineering, and production software development.
- Experience working with cloud and infrastructure teams.
- Strong analytical and problem-solving skills.
- Ability to work independently and move quickly from problem definition to production solution.
Compensation & Location
- Location: New York City or Palo Alto
- Work Arrangement: 5 days per week onsite
- Compensation: Up to $650K total compensation, depending on level and experience.
Why This Opportunity
This is an opportunity to work on enterprise-scale Generative AI with direct, measurable impact across a global organization. The team is focused on building production AI systems that can reach hundreds of thousands of users and meaningfully change how employees work.
To Apply for this Job Click Here
Principal Data Scientist
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Remote | Salary up to $220,000 + 15% bonus
This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.
The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.
The Role
- Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
- Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
- Collaborate with cross-functional stakeholders to identify opportunities and define requirements
- Apply generative AI and other advanced methodologies to solve real-world problems
- Translate technical findings into clear, actionable insights for senior stakeholders
- Oversee project timelines and ensure successful delivery across multiple workstreams
Your Skills and Experience
- Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
- Deep understanding of production-level AI systems and recent exposure to generative AI techniques
- Proven ability to lead complex projects end to end, from concept through to deployment
- Experience working cross-functionally with product, engineering, or business teams
- Clear and collaborative communication style, with the ability to influence senior stakeholders
- Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar
What They Offer
- Salary up to $220,000 with a 15% performance bonus
- Fully remote working with flexibility and autonomy
- Opportunity to work on high-impact AI initiatives at scale
- Collaborative, forward-thinking technical environment
- Clear scope for progression into broader technical or strategic leadership roles
How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.
To Apply for this Job Click Here
Senior AI Engineer
$180000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior AI Engineer, Agentic Systems
Remote (US) $150,000 to $220,000 + Bonus + Equity
This is an opportunity to join an AI-first technology company building sophisticated agentic systems that automate complex business workflows. You’ll play a key role in shaping both customer-facing AI capabilities and the internal engineering practices that enable teams to build faster, smarter, and more effectively.
The Company
They are an innovative software business leveraging advanced AI and autonomous systems to transform how organisations manage complex operational workflows. Their platform combines proprietary intelligence, enterprise data integration, and agent orchestration to deliver highly automated outcomes at scale. With a remote-first culture and a strong engineering focus, they offer an environment where technical expertise has a direct impact on product direction and business growth.
The Role
As a Senior AI Engineer, you will:
- Design and develop agentic workflows, autonomous systems, and AI-powered product features
- Build orchestration frameworks, tool integrations, and multi-step agent capabilities
- Create robust evaluation, monitoring, guardrail, and observability frameworks for production AI systems
- Collaborate with Product teams to translate complex business processes into reliable agent-driven solutions
- Integrate AI workflows with enterprise platforms, data systems, and third-party technologies
- Own the full software development lifecycle from design through deployment and optimisation
- Contribute to architecture decisions and technical strategy across the engineering function
- Champion the effective use of AI-assisted development tools and help establish engineering best practices
- Work closely with a high-performing team to deliver scalable, production-ready solutions
Your Skills & Experience
- Strong commercial software engineering experience with expertise across distributed systems, APIs, and scalable application development
- Proven experience building applications using LLMs, AI agents, orchestration frameworks, or autonomous workflows
- Experience designing and deploying production-grade AI systems with a focus on reliability and performance
- Knowledge of agent tooling, tool use frameworks, MCP, or similar integration approaches
- Ability to work across the full development lifecycle and take ownership of complex technical initiatives
- Strong communication skills and experience collaborating within remote or distributed teams
- Curiosity about emerging AI technologies and a passion for applying them to solve real-world challenges
Desirable experience includes:
- Exposure to marketing technology, advertising technology, media platforms, or customer data ecosystems
- Experience integrating with enterprise data platforms, cloud data warehouses, or third-party APIs
- Familiarity with LangChain or similar agent orchestration frameworks
- Experience evaluating or running local and self-hosted LLM environments
What They Offer
- Competitive base salary
- Equity participation
- Comprehensive benefits package
- Fully remote working across the US
- Access to collaborative office space for those who prefer a hybrid environment
- The opportunity to influence product strategy and engineering standards
- Exposure to cutting-edge AI and agentic system development
- Clear opportunities for professional growth within a rapidly evolving technology environment
How to Apply
If you’re excited by the future of agentic software engineering and want to build AI systems that have a tangible impact, apply today to learn more about this opportunity.
To Apply for this Job Click Here
We are the global leaders in Data & AI recruitment
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
Why Fintech’s AI Talent Pool Is Smaller Than It Looks
By Luc Simpson-Kent, Business Manager – Harnham The share of US job postings requiring AI skills increased…
The Growing Demand for Commercially Driven Analysts
By Lauren McAlister, Senior Recruitment Consultant – Harnham A big trend we’re seeing in the analytics market…
AI Driven Data – Built in the North and Midlands | How Data Engineers are Using AI to Build Better Data Pipelines
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
Hiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI….
AI Driven Data – Built in the North and Midlands | AI in CRO and Experimentation
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
How Tri-State Insurers Are Using AI to Combat Rising Fraud in 2026
By Conor Larkin, Associate Vice President – Harnham Insurance fraud costs the U.S. industry over $40…
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed….
How to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of…
Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent…
Tech in Europe on the decline? The reality of the engineering talent market in the Netherlands tells a different story
by Ross Henderson, Director at Harnham. If you read the news, you’d be forgiven for thinking…
Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
