Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.

Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration. If this sounds like you: curious, driven, and ready to build, we’d love to meet you 

Apply now and join the next generation of Builders!

About Tamara's Builders Program 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role

We’re looking for a fresh graduate or early-career AI Engineer on a builder track.

This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.

You’ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.

Your responsibilities

• Build AI products that ship
  • Design and implement AI-powered features and internal tools.
  • Integrate models into real systems (APIs, workflows, dashboards, and operational processes).
• Work with LLMs in a production-ready way
  • Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.
  • Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).
• Own evaluation and quality
  • Define what “good” means: success metrics, offline tests, and human-in-the-loop review.
  • Set up evaluations for quality, safety, latency, and cost.
• Make AI reliable and safe
  • Add observability: logging, tracing, and monitoring for quality regressions.
  • Implement privacy and security controls (PII handling, access control, redaction where needed).
  • Participate in incident response and postmortems when AI systems misbehave.
• Partner across teams
  • Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.
  • Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.
• Use AI tools thoughtfully
  • Use AI assistants for prototyping, debugging, and documentation.
  • Validate outputs, document assumptions, and protect sensitive data.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python (preferred) or another language used for backend services.
• Strong foundations in:
  • Software engineering basics (APIs, testing, reliability)
  • Data handling (SQL and/or dataframes)
  • ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)
• Clear communication and a collaborative approach.

Nice to have

• Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).
• Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).
• Exposure to MLOps concepts (experiment tracking, model registry, monitoring).
• Familiarity with vector databases, search, or information retrieval.
• Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).
• Experience using AI assistants responsibly for coding and analysis.

What success looks like

• You ship at least one AI feature or internal tool that is used by real users.
• You set up a simple evaluation and monitoring loop so the system improves over time.
• Your solutions balance quality, latency, and cost, with clear tradeoffs.
• When the AI output is wrong or risky, you can debug, mitigate, and explain why.

All qualified individuals are encouraged to apply.

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!

About the Program: 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role 

We’re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.

This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.

With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.

Your responsibilities

• Build and maintain the data platform
  • Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
  • Keep the platform reliable, observable, and ready to scale.
• Build robust pipelines (ELT/ETL + event-driven)
  • Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
  • Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
  • Improve pipeline performance, cost, and reliability.
• Make the platform easier every week
  • Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
• Enable analytics and AI use cases
  • Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
  • Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
• Partner with stakeholders
  • Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
• Keep data secure across boundaries
  • Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python, Java, Go, or similar.
• Strong SQL fundamentals.
• Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
• A problem-solving mindset and comfort debugging systems end-to-end.
• Clear communication and a collaborative approach.

Nice to have

• Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
• Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
• Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
• Basic Terraform/IaC and CI/CD familiarity.
• Experience using AI assistants responsibly for coding, debugging, and documentation.

What success looks like

• You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
• You can debug a data issue from source to downstream consumption with clear root cause and fix.
• Teams can onboard to data sources faster, with better documentation and fewer manual steps.
• Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

About the role ...

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.

What you'll be doing ...

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

What you'll need ...

• Proven track record in architecting and deploying large-scale Google Cloud solutions
• Deep expertise in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)
• Designed end-to-end GCP environments that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL
• Defined global DR/HA strategies using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads
• Architected end-to-end data pipelines—built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.
• Designed scalable data models in BigQuery—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.
• Orchestrated and scheduled workflows leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.
• Automated infrastructure lifecycle via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency
• Mastery of cost control in GCP: committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience
• Partnered with data teams to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms
• Proven leadership in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery
• Exceptional communicator, adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy
• Strong problem-solver, experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains
• Skilled at stakeholder management, from technical deep dives with engineering teams to strategic discussions with C-level executives
• Mentorship & coaching: developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism
• Business growth driver, recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations

The Application Support Specialist will contribute to the successful and timely support and deployment of the TrakCare product by providing application knowledge in the functional areas of product support, requirements scoping, field design documentation and change request testing. The Applications Support Specialist will act as an ''expert'' product resource for our partners.

As Application Support Specialist, you must creative, motivated, and energetic problem-solvers. You will have the opportunity to work with some of the world’s leading organizations in healthcare. This position will also encourage and prepare you to take on other growth opportunities within the organization.

A mentor will help you identify and develop your application skills, professional, and personal skills for a successful career. Depending on your level of experience the training program can include: classroom learning, e-learning, projects, and external courses. Your mentor will also help you familiarize you with the InterSystems environment.

Responsibilities:

• Ready to work in the Support team.
• Provide immediate response to customer inquiries in accordance with service standards. 
• Provide support to current installed based customers. 
• Provide the link between our customers and the InterSystems Global Support organization.
• Liaise with customers in order to understand the work processes and requirements that are required to be addressed by the TrakCare application.
• Provide application support for the TrakCare Hospital Management System.
• Support the TrakCare application in a manner that will suit the business requirements of the customer and follow the methodologies and processes of InterSystems.
• Escalate Open (unresolved) problems in accordance with current policies and procedures. 
• Conduct individual and group training, product demonstrations and workshops as required.
• Continuously improve customer satisfaction by soliciting customer suggestions for product and service improvements and then escalating such suggestions to management. 
• Be a Subject Matter Expert (SME) for TrakCare.
• Improve response time to customer inquiries by continuously improving communication, analytical, and learning skills.
•  If required, work with our partners to identify potential changes within the parameters of the product.
• Participate in on-site support if required.
• Participate in the on call 24-hour roster service.

Qualifications:

• General aptitude for solving problems and using technology to improve processes.
• Understanding and experience in product solutions support.
• Understanding and experience with Hospital Information Systems.
• Proven ability to think laterally and come up with innovative solutions for software product Support.
• Experience working in software not limited to a Developer, Quality Engineer and/or Solutions Architect.
• An ability to handle multiple tasks simultaneously and within tight time constraints.
• Proven ability to work through problems with different customer groups achieving positive outcomes.
• Understanding and experience with Hospital Information, Patient Administration (PAS), Billing, and Revenue cycle management Systems
• Understanding of the importance of Health Informatics standards, reporting requirements and legislative controls

Education and Training:

• BS or MS in Computer Science (or equivalent) or business as announced in the vacancy.