HOUSTON DATA & AI RECRUITMENT
OVERVIEW
Harnham is a global Data and AI Recruitment consultancy that have a dedicated team of consultants, to help clients in Houston to find the top Data & AI talent for their data jobs.
Our team are experts in the Data and AI field and have a deep understanding of the Houston AI and data science landscape. We also have an extensive database of both clients and candidates in the area so whether people come to us as job seekers or instead are looking to fill a data role we have the resources to get them exactly what they need.
We work with organizations of all sizes to help them find the best data and analytics, talent in the area. Our consultants are available to discuss clients' specific needs, as well as provide advice and industry insights based on our research, in order to make sure clients can make the best hiring decisions regarding data roles. Discover more by speaking to our Data & AI Recruiters in Houston today.
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. To find out more, contact our Data & AI recruiters in Houston todayÂ
WHAT SETS US APART FROM OTHER HOUSTON DATA & AI RECRUITMENT AGENCIES?
Harnham stands out from other Data & AI Recruitment agencies in Houston because of our focus on data-driven roles and our long-standing history of matching the right candidates to the right roles in the data industry.
Our Data & AI Recruiters in Houston are experts in the data analytics space. They use their extensive knowledge and experience to ensure that our clients in Houston are well-advised and thoroughly informed in order to make the best hiring decisions.
Additionally, we are able to provide our clients with industry insights based on our research. For example, we publish both a salary guide and a diversity guide based on the data industry every year, so we provide our clients with enough information to get the best experience when hiring for a Data or AI position.
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JOBS
LATEST HOUSTON
DATA & AI JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.
Data Engineer
Dallas
$80 - $90
+ Data Engineering
ContractDallas, Texas
To Apply for this Job Click Here
Engagement Details
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Type: 12-month contract with potential for extension
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Location: Fully remote; preference for contractors near a central U.S. hub who can occasionally work onsite (2-3 days/week)
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Schedule: Approximately 40 hours per week (may begin at 32 hours)
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Team Structure: Initial group of three engineers, with expected team growth
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Reporting: Works closely with an engagement lead, account manager, and project manager
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Compensation: Targeting $120-160/hr, with a maximum of $220/hr for top-tier profiles
Core Responsibilities
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Deliver end-to-end GenAI solutions, including requirements gathering, architecture, development, testing, deployment, and production support.
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Build sophisticated RAG pipelines and LLM applications that integrate enterprise data and knowledge repositories.
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Implement vector database solutions, agentic frameworks, and prompt orchestration systems to support AI-driven workflows.
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Productionize GenAI applications using best practices for MLOps, CI/CD, automated pipelines, and performance monitoring.
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Collaborate closely with data engineering and platform teams to design scalable, secure, and maintainable architectures.
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Advise clients on tooling, design patterns, deployment strategies, governance, and operational readiness for GenAI systems.
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Provide technical mentorship to internal and client teams adopting GenAI and modern data engineering practices.
Key Technical Requirements
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5+ years of experience in AI/ML engineering, data engineering, software development, or similar technical fields.
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1-2 years of hands-on, production-level experience delivering GenAI solutions (RAG, LLMs, agentic workflows).
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Strong experience with unified data and AI platforms (such as Spark, MLflow, feature stores, and data governance tools).
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High proficiency in Python and common GenAI tooling: LangChain, LLM APIs (OpenAI, Azure, Anthropic), Hugging Face, and vector databases (FAISS, Pinecone, Weaviate, Chroma).
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Solid experience with cloud infrastructure and deployment across AWS, Azure, or GCP, as well as DevOps practices (Git, pipelines, CI/CD).
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Excellent communication skills and comfort operating in client-facing delivery environments.
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Preferred: industry certifications in data engineering, ML engineering, or GenAI engineering.

To Apply for this Job Click Here
AI ENGINEER – FULL-STACK + GENAI
Dallas, TX
$115000 - $130000
+ Data Science & AI
PermanentDallas, Texas
To Apply for this Job Click Here
AI ENGINEER – FULL-STACK + GENAI
$115K – $130K BASE + BONUS
HYBRID – DALLAS-FORT WORTH METROPLEX
Are you looking to build real AI-enabled applications-not just models-and help modernize critical business systems used across a nationwide organization?
THE COMPANY
A leading operator in the single-family rental (SFR) housing market, this company manages tens of thousands of homes across 30+ U.S. metros. They’ve invested heavily in modern engineering, cloud technologies, and AI-driven platforms to streamline operations, support residents, and power large-scale field workflows.
They are launching a new AI Engineering initiative to rebuild and modernize key internal applications with automation, GenAI, and scalable cloud services.
THE ROLE
As an AI Engineer, you’ll be part of a full-stack engineering team responsible for building AI-enabled business applications that directly support leasing, maintenance, operations, and resident services.
You’ll work on modernizing a business-critical Salesforce system into a new platform (Palantir), adding automation and GenAI capabilities along the way.
Key responsibilities include:
- Building backend services and APIs using Python or Node.js/TypeScript
- Integrating GenAI and RAG-based features into internal applications
- Developing full-stack features within the company’s integration/UI platform
- Learning existing business processes and rebuilding workflows in a modern environment
- Working with engineering, data, platform, and business teams to define and ship AI features
- Delivering components and automation that support a large migration project (6-8 month cycles)
This is a highly visible engineering role with direct business impact-not an ML research or model-training position.
YOUR SKILLS AND EXPERIENCE
- Strong full-stack engineering experience (APIs + backend development)
- Proficiency in Python or Node.js/TypeScript
- Exposure to GenAI concepts such as LLM integration, RAG, embeddings, or vector search
- Ability to learn new technologies quickly and work across multiple teams
- Strong communication skills and a consultative mindset
- Comfort operating in ambiguous, fast-moving technical environments
Nice-to-haves:
- AWS experience
- SQL/NoSQL database experience
- Palantir or ontology-based platforms (not required-trainable)
THE BENEFITS
- $115k-$130k base salary + 10% bonus
- Hybrid schedule (3 days onsite, 2 days remote)
- Opportunity to work with modern AI tools + platform technologies
- Direct impact on high-visibility, business-critical systems
- Strong learning culture and clear runway for growth
If you want to build practical, impactful AI features inside real enterprise applications-not theoretical models-this role offers the perfect blend of engineering and innovation.

To Apply for this Job Click Here
Research Engineer
Austin, TX
$110000 - $130000
+ Data Engineering
PermanentAustin, Texas
To Apply for this Job Click Here
RESEARCH ENGINEER – ADVANCED AI & SIMULATION SYSTEMS
$110k-$130k BASE
REMOTE ROLE – U.S. BASED
Are you interested in working on some of the most cutting-edge AI systems being built today-systems that can understand real-world environments, predict future scenarios, and even extend their own codebase?
THE COMPANY
This role sits within a quiet, invitation-only R&D group inside a larger tech organization-an elite team dedicated to pushing the boundaries of government and defense innovation. The work is not consumer-facing and not easily searchable; the group operates more like an advanced research unit than a corporate department.
You’d join a small, highly technical team building breakthrough systems in simulation, predictive modeling, and AI-driven reasoning-tools that are tested in live operational environments with real-world impact. The pace is fast, the problems are complex, and the mission is unlike anything in traditional tech.
THE ROLE
As a Research Engineer, you’ll work alongside PhD-level scientists to develop next-generation AI systems that model battlefield dynamics, predict behavior, and simulate future states. This includes building LLM-powered pipelines, extending a Python-based codebase, and helping the system “learn” by rewriting its own logic.
Key responsibilities include:
- Designing and extending Python systems used for real-time simulation and prediction
- Building LLM workflows that reason about system state and generate new code
- Developing tools that model real-world behavior and future scenarios
- Collaborating with researchers and engineers to implement novel AI concepts
- Participating in on-site testing at U.S. bases (approx. 15% travel, typically in multi-week cycles)
This role blends hands-on engineering, research experimentation, and field validation of cutting-edge AI capabilities.
YOUR SKILLS AND EXPERIENCE
The successful candidate will have:
- Strong hands-on experience with Python
- 2+ years of professional engineering experience (5+ years of total programming preferred)
- Solid understanding of AI fundamentals or strong curiosity to learn advanced concepts
- Excellent problem-solving and communication skills
- U.S. citizenship or green card (due to government contract requirements)
Preferred experience:
- FastAPI, Docker, LLM APIs, Pydantic, or Hugging Face
- Background in simulation, metaprogramming, or ML/AI tooling
A PhD in a technical field is preferred but not required.
THE BENEFITS
- $110k-$130k base salary
- Remote role, U.S. based
- Approximately 15% domestic travel for field testing and integration events
- Opportunity to work directly with a Principal Scientist with 20+ years of AI research experience
- Highly impactful work with cutting-edge AI systems used in real-world environments

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Sr. Generative AI Engineer
$85 - $125
+ Data Science & AI
ContractTexas
To Apply for this Job Click Here
Senior Gen AI Engineer
Harnham, a leading recruitment specialist in Data and AI, is partnering with a Databricks consulting firm that delivers enterprise-grade GenAI and LLM solutions for end clients. They are seeking a Senior Gen AI Engineer with at least five years of Databricks experience and the ability to communicate confidently with both technical and non-technical stakeholders. The ideal candidate does not need to come from a specific industry, but must have hands-on production experience with GenAI applications, including RAG systems, LLM development, or agentic frameworks.
This role can be performed remotely or in a hybrid capacity from Dallas, Texas (2-3 days onsite). It is a 12-month contract with strong potential for extension, offering $85-$125 per hour for 40 hours per week. W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As a Senior Gen AI Engineer, you will drive end-to-end delivery of GenAI projects within the Databricks ecosystem, working closely with both Databricks teams and end clients. Responsibilities include scoping, building, and deploying GenAI solutions; developing RAG and LLM-based applications that leverage enterprise data; integrating vector databases and agentic frameworks such as LangChain; and optimizing LLM workflows for production. You will help clients productionize GenAI systems using best practices in MLOps, CI/CD, and data pipeline automation, while collaborating with broader data teams on architecture, tooling, and governance. This role also includes providing mentorship and helping clients adopt Databricks-native GenAI capabilities effectively.
Qualified candidates will have 5+ years of experience in AI/ML engineering or data systems, including at least 1-2 years of hands-on GenAI production work. Strong Databricks proficiency is essential, including Spark, MLflow, and Unity Catalog. Candidates should also be skilled in Python, LangChain, OpenAI APIs, Hugging Face, and vector databases such as FAISS, Pinecone, Weaviate, or Chroma. A solid understanding of cloud platforms (AWS, Azure, or GCP) and DevOps tooling is required, along with excellent communication skills for client-facing delivery. Preferred certifications include Databricks ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This opportunity is ideal for someone who has successfully designed, built, and deployed generative AI solutions and wants to apply that expertise in a hands-on consulting environment.

To Apply for this Job Click Here
We are the global leaders in Data & AI recruitment
With over 15 years of experience working solely in the Data & AI sector, our Houston-focussed consultants are able to offer detailed insights and support 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.
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