intelligence engineer

Medefy Health

<div>Job Summary:
The Business Intelligence Engineer will serve as Medefy&rsquo;s BI subject matter expert within the Data team. This role owns the discovery, design, development, and governance of Business Intelligence data and processes across the organization.
This position bridges business strategy and technical implementation ensuring that business reporting needs are translated into scalable, secure, and reliable analytics infrastructure.
About our awesome company, Medefy Health...
Medefy Health (www.Medefy.com) is a leading SaaS benefits navigation company, dedicated to simplifying the way employees&rsquo; access and utilize their benefits. Our mission is to drive better health and financial outcomes for our users while supporting HR teams and broker partners with seamless, data-driven solutions.
Our company is headquartered in Tulsa, OK. We&rsquo;re proud to be Oklahoma&rsquo;s #1 fastest-growing company and rated by Inc. Magazine as the 37th fastest-growing tech company and the 288th fastest-growing company overall in the USA, and our story is still being written!
Healthcare is only getting more complicated, and more expensive, for employers and their employees. This is where Medefy Health comes in. We&rsquo;re on a mission to eliminate the stress on hard-working families caused by an impossible to navigate healthcare system. All while saving them, and their employers, a significant amount of time and money. We demolish barriers between healthcare and the people who need it, and we need your help to further our mission!
Job Duties &amp; Responsibilities:
<h3 class="jobSectionHeader">1. Business Intelligence Strategy &amp; Requirements</h3><ul><li>
Lead discovery sessions with Product, Finance, Care Operations, Sales, and Leadership</li><li>
Translate business questions into structured data requirements</li><li>
Define and standardize data definitions</li><li>
Maintain analytics documentation and metric dictionary</li><li>
Identify data gaps and propose collection strategies</li></ul><h3 class="jobSectionHeader">
2. Analytics Architecture &amp; Data Storage</h3><ul><li>
Own analytics data storage strategy (primarily Snowflake)</li><li>
Design and maintain dimensional models and data marts</li><li>
Determine appropriate data storage across Snowflake, SQL Server, and Postgres</li><li>
Define governance standards for reporting schemas</li><li>
Ensure compliance with HIPAA and PHI handling requirements</li></ul><h3 class="jobSectionHeader">
3. Reporting Platform Ownership</h3><ul><li>
Evaluate and select BI tools for internal and external reporting</li><li>
Own BI Embedded architecture</li><li>
Design customer-facing reporting solutions</li><li>
Drive consolidation of reporting into Snowflake as the single source of truth</li><li>
Support and maintain reporting APIs and analytics applications</li></ul><h3 class="jobSectionHeader">
4. Pipeline Development &amp; Data Movement</h3><ul><li>
Build and maintain analytics pipelines using dbt and ELT processes</li><li>
Develop transformations to support reporting use cases</li><li>
Collaborate with Data Engineering on data transport strategy</li><li>
Define instrumentation needs for new product features</li><li>
Support reverse ETL and data sync requirements</li></ul><h3 class="jobSectionHeader">
5. Data Governance &amp; Security</h3><ul><li>
Define role-based access models in Snowflake</li><li>
Reduce over-privileged access and improve audit posture</li><li>
Implement testing and monitoring on analytics models</li><li>
Support Data Reliability Index (DRI) improvement initiatives</li></ul><h3 class="jobSectionHeader">
6. Cross-Functional Leadership</h3><ul><li>
Serve as BI subject matter expert across the organization</li><li>
Guide teams toward self-service analytics best practices</li><li>
Improve analytics literacy across departments</li><li>
Partner with Engineering on event tracking improvements</li></ul>
You must have at least the following:
<ul><li>Experience leveraging Artificial Intelligence (AI) and machine learning concepts in analytics architecture and reporting, including the ability to evaluate AI-driven tools, incorporate AI-assisted data modeling and insight generation, and strategically apply AI to improve reporting automation, anomaly detection, and decision support across the organization. 
Advanced SQL across Snowflake, SQL Server, and Postgres</li><li>
Strong dimensional modeling experience (star schema, data marts)</li><li>
Experience with dbt and modern ELT/analytics engineering practices</li><li>
Experience designing BI architecture and reporting ecosystems</li><li>
Experience supporting embedded reporting tools</li><li>
Healthcare, claims, eligibility, or HIPAA-compliant data experience preferred</li><li>
Python or scripting experience preferred</li><li>
Strong communication skills and ability to translate business needs into technical solutions</li></ul>
Travel Requirements Percentage: 0% travel
Physical and Mental Requirements:
<ul><li>Remote Work Environment:
<ul><li>This position is performed remotely in a home-office setting.
</li><li>The employee must ensure a quiet, private workspace free from distractions and suitable for video conferencing and focused work.
</li><li>A reliable high-speed internet connection is required.
</li></ul></li><li>Physical Demands:
<ul><li>Prolonged periods of sitting at a desk and working on a computer (up to 8+ hours per day).
</li><li>Frequent use of a computer keyboard, mouse, and screen; ability to type at least 55 WPM.
</li><li>Occasional movement within the home office environment (e.g., retrieving office supplies or documents).
</li><li>Vision abilities required include close vision for computer use and reading documentation, with or without corrective lenses.
</li></ul></li><li>Communication Requirements:
<ul><li>Must be able to communicate effectively in English using written and verbal channels (email, chat, video conferencing, phone).
</li><li>Must be able to read and interpret complex written information such as healthcare documentation, performance reports, and company procedures.
</li><li>Must be responsive and present during scheduled working hours and team communications, including virtual meetings and collaboration platforms.
</li></ul></li><li>Cognitive and Emotional Demands:
<ul><li>Ability to manage multiple complex tasks and competing priorities in a high-paced environment.
</li><li>Strong critical thinking and decision-making skills with attention to detail.
</li><li>Ability to exercise independent judgment and problem-solving under time constraints.
</li><li>Must be able to adapt quickly to changing workflows, operational needs, and team dynamics.
</li><li>Must maintain a high level of confidentiality and discretion in handling sensitive information.
</li><li>Requires emotional resilience, especially when assisting users in distress or resolving escalated member concerns.
</li><li>Must be able to maintain composure and a professional demeanor under pressure.
</li></ul></li><li>Work Schedule &amp; Attendance:
<ul><li>Must be punctual and dependable.
</li><li>Must maintain regular attendance and meet performance expectations without direct on-site supervision.
</li></ul></li></ul>**Job description is not a comprehensive listing of all the activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.</div>

Business Intelligence Engineer

Enzo Tech Group

<div>
 
 
 AI Engineer | Enterprise AI Transformation | Fortune 50 Client
 
 
 
 
 
 
 I&rsquo;m currently working with a
 
 Fortune 50 global organisation
 
 that is investing heavily in
 
 AI and machine learning to transform large-scale enterprise systems
 
 .
 
 
 
 
 
 They are looking for an
 
 AI Engineer
 
 to join a team building
 
 production-grade AI solutions
 
 that will operate across complex enterprise environments. This is a
 
 hands-on engineering role
 
 , ideal for someone who enjoys taking
 
 ML models from development into real-world deployment
 
 .
 
 
 
 
 
 
 What you&rsquo;ll be working on
 
 
 <ul>
 <li>
 Designing and deploying
 
 AI/ML models in production environments
 
 </li>
 <li>
 Building scalable
 
 machine learning pipelines
 
 </li>
 <li>
 Working with
 
 large enterprise datasets and systems
 
 </li>
 <li>
 Integrating AI capabilities into
 
 enterprise platforms
 
 </li>
 <li>
 Collaborating with engineering and architecture teams to scale AI adoption
 </li>
 </ul>
 
 
 
 
 
 Key skills
 
 
 <ul>
 <li>
 Strong experience with
 
 Python
 
 </li>
 <li>
 Experience building and deploying
 
 machine learning models
 
 </li>
 <li>
 Knowledge of
 
 AI/ML frameworks and data pipelines
 
 </li>
 <li>
 Experience working in
 
 cloud environments
 
 </li>
 <li>
 Familiarity with enterprise AI tools such as
 
 IBM Watson / Watsonx
 
 is a plus
 </li>
 </ul>
 
 
 
 
 
 Why this role is interesting
 
 
 <ul>
 <li>
 Opportunity to work with a
 
 Fortune 50 organisation
 
 </li>
 <li>
 
 Large-scale AI transformation projects
 
 </li>
 <li>
 Real-world
 
 production AI systems
 
 </li>
 <li>
 Collaboration with
 
 global engineering teams
 
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re an
 
 AI Engineer
 
 interested in working on
 
 enterprise-scale AI solutions
 
 , feel free to
 
 apply below
 
 .
 
</div>

Artificial Intelligence Engineer

SWATX

<div>AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
agentic, multimodal, and speech-enabled systems.
Responsibilities
Analyze requirements and contribute to technical AI solution design.<ul><li>Strong programming skills in Python (mandatory).</li><li>Experience in backend development (APIs, microservices, model serving).</li><li>Hands-on experience with local LLM deployment and optimization.</li><li>Experience in RAG system design and vector databases.</li><li>Practical experience in model fine-tuning (LoRA / PEFT).</li><li>Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.</li><li>Experience working in Linux environments.</li><li>Participate in peer code reviews and team planning activities.</li><li>Provide task estimations and deliver within approved timelines.</li><li>Apply secure coding practices and participate in bug resolution with quality metrics in mind.</li></ul> 
 
 
Requirements 
Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
3-5 years of experience in AI Engineering.
Proficiency in C#, .NET Core and Python.
Experience with Structured and Unstructured databases.
Experience with Angular or other frontend technologies is a strong plus.
Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
Familiarity with Git, RESTful services, and Agile development methodologies</div>

Senior Artificial Intelligence Engineer

<div>
 AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
 
 
 premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
 
 
 primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
 
 
 agentic, multimodal, and speech-enabled systems.
 
 
 
 Responsibilities
 
 
 
 Analyze requirements and contribute to technical AI solution design.
 
 
 ∙Strong programming skills in Python (mandatory).
 
 
 ∙Experience in backend development (APIs, microservices, model serving).
 
 
 ∙Hands-on experience with local LLM deployment and optimization.
 
 
 ∙Experience in RAG system design and vector databases.
 
 
 ∙Practical experience in model fine-tuning (LoRA / PEFT).
 
 
 ∙Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 
 
 ∙Experience working in Linux environments.
 
 
 ∙Participate in peer code reviews and team planning activities.
 
 
 ∙Provide task estimations and deliver within approved timelines.
 
 
 ∙Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 
 Requirements
 
 
 
 Bachelor's degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 
 
 3-5 years of experience in AI Engineering.
 
 
 Proficiency in C#, .NET Core and Python.
 
 
 Experience with Structured and Unstructured databases.
 
 
 Experience with Angular or other frontend technologies is a strong plus.
 
 
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 
 
 Familiarity with Git, RESTful services, and Agile development methodologies
</div>

Vanderbilt University

<div>*This position does not provide sponsorship for employment now, or in the future, in any format.
Position Summary:
 
The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. The Education Design &amp; Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt's MD program and affiliated health professions education. We maintain a comprehensive education data lake in Databricks, a custom digital learning platform (VSTAR), and a vision for AI-augmented medical education that we're ready to operationalize. 
 
We're seeking an AI Engineer to help us realize our vision for precision medical education&mdash;using data and AI to personalize learning, predict learner needs, and improve educational outcomes at scale. 
 
You'll be our first dedicated AI/ML role, working alongside a data engineer, full-stack developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for learners and educators, semantic search across educational content, recommendation systems for personalized learning pathways, and integration of AI capabilities into VSTAR. As our AI maturity grows, you'll also contribute to predictive modeling efforts, including early identification of at-risk learners and competency progression analytics. 
 
This is a high-ownership, foundational role. You'll shape AI strategy and implementation from the ground up, taking features from concept through production deployment. You'll work closely with educational leadership
 
to identify opportunities where AI can meaningfully improve how we train future physicians.
This position is fully remote and reports directly to the Director of Education Design &amp; Informatics. Open to hybrid availability if interested. 
 
About the Work Unit:
 
The Office of Health Sciences Education (OHSE) administers the degree programs of the Vanderbilt University
 
School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, servant leadership, and
 
lifelong learning. OHSE staff provide comprehensive support across academic program administration,
 
educational design and informatics, student services, and financial and operational oversight. 
 
In alignment with VUSM&rsquo;s commitment to excellence, OHSE works to prepare future leaders in the health
 
professions who are equipped with the knowledge, skills, and judgment needed to deliver safe, effective, ethical, and patient-centered care. Our students are encouraged to think critically, foster innovation, and understand the broader systems and social factors that shape health outcomes&mdash;empowering them to advocate for positive change in both local and global communities.
Key Functions and Expected Performance:
 
AI Application Development
<ul><li>Design and build AI-powered features for VSTAR and other EDI platforms, including intelligent
 </li></ul>tutoring capabilities, semantic search, content recommendations, and LLM-based tools for learners
 
and educators
 
<ul><li>Apply appropriate AI implementation patterns and strategies such as RAG architectures,
 </li></ul>agentic workflows, prompt engineering strategies, and LLM orchestration patterns appropriate to
 
educational use cases
 
<ul><li>Develop backend services and APIs that expose AI capabilities for integration into VSTAR and
 </li></ul>other applications, working with the development team to determine appropriate integration patterns
 
<ul><li>Evaluate vender versus open-source AI products and services based on performance, cost, and
 </li></ul>reliability considerations
 
<ul><li>Ensure responsible AI practices, including appropriate guardrails, content filtering, and
 </li></ul>transparency in AI- assisted features
<div>ML Engineering &amp; Production Systems
 
<ul><li>Build and maintain ML pipelines in Databricks for feature engineering, model training, and
 </li></ul>evaluation
 
<ul><li>Deploy models and AI services to production with appropriate monitoring, logging, and error
 </li></ul>handling
 
<ul><li>Implement MLOps practices proportionate to our maturity: version control, testing,
 </li></ul>documentation, and reproducibility
 
<ul><li>Ensure performance, reliability, and scalability of AI-powered services
</li><li>Own the full lifecycle of deployed AI features, including maintenance, iteration, and
 </li></ul>retirement
 
<ul><li>Contribute to predictive modeling initiatives addressing educational challenges such as
 </li></ul>learner performance prediction, early intervention identification, and resource optimization
</div><div>Collaboration &amp; Strategy
 
<ul><li>Partner with data engineering to ensure AI systems integrate cleanly with our data
 </li></ul>infrastructure
 
<ul><li>Collaborate with software developers to integrate AI features into existing applications
</li><li>Proactively communicate progress, challenges, and decisions to the team through regular
 </li></ul>check-ins, documentation, and asynchronous updates
 
<ul><li>Work with product and educational leadership to identify high-impact AI opportunities
</li><li>Contribute to EDI's AI strategy and help establish best practices for responsible AI
 </li></ul>development in medical education
 
<ul><li>Maintain clear documentation and support knowledge sharing across the team
</li><li>Stay current with developments in AI tooling, particularly as they apply to education and
 </li></ul>knowledge work
</div><div>Education and Certifications:
 
<ul><li>A Bachelor&rsquo;s degree in a related field from an accredited institution of higher education is
 </li></ul>necessary.
</div><div>Experience and Skills:
 
<ul><li>5 &ndash; 7 years of experience i s required.
</li><li>Experience in applied machine learning, AI engineering, or a related field (3+ years) is
 </li></ul>necessary.
 
<ul><li>Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or
 </li></ul>TensorFlow (3+ years) i s necessary.
 
<ul><li>Hands-on experience building applications with LLMs, including prompt engineering,
 </li></ul>embeddings, retrieval-augmented generation, and agents (1+ years) is necessary.
 
<ul><li>Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+
 </li></ul>years) is necessary.
 
<ul><li>Track record of deploying AI or ML features to production environments (1+ years) is
 </li></ul>necessary.
 
<ul><li>Comfort with SQL and working with data pipelines (3+ years) is necessary.
</li><li>Ability to communicate technical concepts clearly to non-technical audiences (3+ years) is
 </li></ul>necessary.
 
<ul><li>Experience with Databricks and Azure cloud services (1+ years) is preferred.
</li><li>Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+
 </li></ul>years) is preferred.
 
<ul><li>Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is
 </li></ul>preferred.
 
<ul><li>Experience working with multiple LLM providers or open source LLMs and evaluating tradeoffs
 </li></ul>(1+ years) is preferred.
 
<ul><li>Background in building predictive models (classification, regression, forecasting) (1+ years)
 </li></ul>is preferred.
 
<ul><li>Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred.
</li><li>Familiarity with the unique considerations of AI in educational contexts (pedagogical
 </li></ul>alignment, learner privacy, appropriate automation) (1+ years) is preferred.
 
Demonstrated self-direction and ownership mentality in previous roles is necessary.</div></div>

Applied Artificial Intelligence Engineer

BRKZ

<div><div><h2 class="jobSectionHeader">About Us</h2>

Backed by top regional and global VCs, BRKZ is Saudi Arabia's fastest-growing construction-tech startup. Our web platform, mobile apps and WhatsApp channels give contractors instant access to 7,000+ building-material SKUs from 1,100+ vetted suppliers, with quotes in minutes and buy-now-pay-later financing built in. In just two years we have on-boarded 850+ contracting companies, supported giga-projects such as NEOM and King Salman Park, and scaled RFQs to $350 million while keeping positive unit economics.

You can read more about BRKZ's latest news on Forbes, TechCrunch &amp; Wamda.</div><h2 class="jobSectionHeader">
What You will do (Responsibilities) :</h2>
<ul><li>Design and implement cutting-edge AI-driven solutions leveraging the full spectrum of approaches from traditional ML learning to using LLMs</li>
<li>Work closely with data scientists, ML engineers, and software developers to ensure the successful deployment of AI models and applications.</li>
<li>Stay updated on emerging AI technologies and industry best practices to provide innovative and forward-thinking recommendations to clients.</li>
<li>Provide technical guidance on AI model lifecycle management, including training, tuning, monitoring, and optimisation.</li>
<li>Ensure AI solutions are scalable, secure, and compliant with industry regulations and best practices.</li>
<li>Act as a trusted advisor to users, helping them navigate AI adoption challenges and maximising the impact of AI in their operations.</li>
<li>Develop technical documentation, including solution architectures, whitepapers, and best practice guides.</li>
</ul><h2 class="jobSectionHeader">Who You are (Qualifications) :</h2>
<ul><li>Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud).</li>
<li>Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, and Hugging Face.</li>
<li>Strong programming skills in Python or similar.</li>
<li>Excellent proficiency with traditional SQL and big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks.</li>
<li>Ability to analyse large datasets and derive business insights using BI tools like Tableau, Power BI, or similar.</li>
<li>Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows.</li>
<li>Hands-on experience with APIs, microservices, and AI-driven automation solutions.</li>
</ul>
Soft skills and Competence:
<ul>
<li>Experience in digital transformation, business process optimisation, or AI strategy consulting.</li>
<li>Knowledge of AI ethics, bias mitigation, and regulatory compliance in AI adoption.</li>
<li>Excellent communication and presentation skills, capable of articulating complex AI concepts to non-technical stakeholders.</li>
<li>Strong problem-solving and analytical skills, with the ability to design tailored AI solutions for diverse business challenges.</li>
<li>Excellent familiarity with the SDLC and project management methodologies and tools (e.g. Jira, Confluence, etc.)</li>
<li>Passion for innovation and continuous learning in AI and emerging technologies.</li>
<li>Ability to handle multiple client engagements and prioritise tasks in a fast-paced environment.</li>
</ul><h2 class="jobSectionHeader">What we offer:</h2>
<ul><li>It is an excellent opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will impact the entire business.</li>
<li>Attractive compensation package</li>
<li>Access to tools helping with your learning and development</li>
<li>Product first mindset</li>
<li>The best idea wins; we are all ears about ways to do things better.</li>
<li>Exciting stock options</li>
</ul><div>
Check our guide on How to prepare for your interviews with BRKZ ️

Pls note : Certain positions eventual grading might be subject to interview performance, this allows great talent to shine regardless of years of experience and keeps a fair process based on how big of an impact you deliver in the organization.</div></div>

Senior Artificial Intelligence Engineer (AI)

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Senior Artificial Intelligence Engineer (AI)