## ## AI Governance Lead

The candidates must demonstrate:

- 10+ years in AI, analytics, data science, or decision intelligence environments

- 5+ years in AI governance, analytics governance, or AI assurance roles

- Experience governing AI use cases linked to executive or strategic decisions.

## Key Responsibilities

### AI Use Case Ownership & Decision Intelligence

Define and maintain the AI use case portfolio aligned with strategic KPIsEnsure each AI use case supports a clearly defined business decisionDefine success criteria and measurable decision impact for AI use casesDifferentiate between descriptive, predictive, and prescriptive AI use casesPrevent AI initiatives that lack decision or KPI valueTranslation to AI Factory CapabilitiesTranslate AI use cases into decision oriented AI capability requirementsDefine required performance, explainability, and trust thresholdsAct as the primary governance interface with the AI FactoryEnsure AI outputs are fit for decision use, not just technical accuracyAI Lifecycle Governance & AccreditationGovern AI lifecycle from concept qualification to retirementDefine and enforce AI accreditation criteria for production use

Approve, suspend, or retire AI capabilities based on decision performance.

### AI Performance, Drift & Responsible AI

Monitor AI model performance and driftEnsure Responsible and Explainable AI principles are appliedEnsure decision makers understand AI limitations and risks.

## Required Skills

BachelorÃ¢â‚¬Â¿s degree in Computer Science, Data Science, Engineering, or equivalent

MasterÃ¢â‚¬Â¿s degree strongly preferred

Certifications in AI Governance or Responsible AI are advantageous

## WHY JOIN US?

We practice a vibrant & energetic office culture. We provide opportunities for career advancement within the company. Good performance is always rewarded accordingly. â€œIt's our people that make Astro Malaysiaâ€™s leading entertainment company. We are an inclusive employer, to enable everyone at Astro to be their best. We embrace differences â€“ we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products/services and our community. We also understand and appreciate that diversity is a driver of creativity and innovation, which will make our business more competitive, compelling and profitable.â€ ## Responsibilities

## What You Will Do We are seeking a highly experienced Manager for Enterprise AI Solutions Specialists to lead a team responsible for designing, delivering, and scaling AI-powered solutions across Microsoft Azure and Microsoft 365 ecosystems. This role will drive strategic adoption of Generative AI, Copilot, Azure AI services, and enterprise automation while aligning with business objectives and governance standards. The ideal candidate combines technical depth, leadership capability, and business acumen to accelerate transformation initiatives across the organization. This role is also meant to deploy and managed both hybrid solutions. ### Hybrid Identity & Directory Services

Manage Hybrid Active Directory and integrate internal and external applications with enterprise identity services. Configure and support SSO (SAML, OAuth 2.0, OIDC) and enforce MFA. Troubleshoot authentication and signâ€‘in issues. ### Azure Cloud Operations

Monitor and maintain Azure services for performance, availability, and reliability. Troubleshoot cloud issues with minimal business impact. Govern Azure resources and ensure compliance with security and regulatory standards. ### Microsoft 365 Administration

Administer Exchange Online, including mailboxes, distribution groups, mail flow, and DLP policies. Manage OneDrive for Business and SharePoint Online, including permissions, collaboration, and sync issues. Administer Microsoft Teams, including policies, guest access, and user support while tracking feature updates. ### Security & Compliance

Enforce security controls and policies across Microsoft 365 and Azure. Conduct periodic security reviews and audits. ### End-User & Operational Support

Provide Level 2/3 support for Microsoft 365 and Azure services. Act as a technical escalation point and subject matter expert. ### On-Premises Infrastructure Administration

Oversee Windows and Linux/Unix servers to ensure availability, performance, and stability. Manage onâ€‘prem infrastructure including compute, storage & backup. Implement system hardening, patching, access control, monitoring, and capacity planning. ### Vendor, Project & Stakeholder Management

Manage vendors to ensure SLA, KPI, security, and contractual compliance. Lead endâ€‘toâ€‘end delivery of infrastructure and cloud projects. ### Delivery and Governance

Oversee the end-to-end lifecycle of AI solutions: Establish best practices, frameworks, and reusable assets Ensure compliance with enterprise governance, data privacy, and AI ethics policies ### AI Strategy & Execution

Define and execute enterprise AI strategy leveraging: Azure AI Services (OpenAI, Cognitive Services, Machine Learning, AI Studio) Microsoft 365 Copilot & extensibility (Graph, plugins, agents) Identify high-value use cases and prioritize AI initiatives with measurable ROI Partner with business and technology stakeholders to drive adoption Drive experimentation (POCs, pilots) and scale successful solutions ## Requirements

## Who You Are 1. Computer Science background (minimum level â€“ degree).

2. Experience using business analysis and project management skills.

3. Experience in managing development team.

4. Technical Development experience and methodologies.

5. Ability to document processes, writing of software design specifications and user cases.

6. Ability to interact with vendor, users and third parties as appropriate.

7. Project management skills, organization of project scopes and materials.

8. Experience in best-practice design, consulting and research analysis.

9. The ability to communicate, both orally and in writing, clearly and succinctly. Demonstrates good listening and comprehension skills.

10. Is a high achiever with result oriented focus.

11. Ability to build and manage relationship with vendor and users, including all levels of management.

12. PC literate (hands on experience with MS Office applications, MS Project). Training and/or certification in relevant area such as:

1. Java 2. MS .NET 3. Oracle,

4. Microsoft SQL, Astro Malaysia Holdings Berhad (â€œAstroâ€) is Malaysiaâ€™s leading content and consumer company, serving 75% of Malaysian households across our TV, radio, digital and commerce platforms. As a trusted brand, Astro keeps Malaysians entertained and informed with a variety of vernacular, international and live sports content, engaging with 24 million individuals. To learn more about Astro, kindly login to www.astro.com.my

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, weâ€™re reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent.

This role is hybrid, based out of Toronto, ON, Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

- Experienced Microarchitect: 10+ years of deep expertise in CPU performance modeling and microarchitecture design.

- AI Workload Expert: Deeply familiar with the computational and memory bottlenecks of modern AI workloads, particularly Large Language Models (LLMs).

- Hardware-Software Co-Designer: Driven to architect custom instruction set extensions and validate their performance gains against real-world workloads.

- Ways to stand-out: Familiarity with open-source RISC-V cores, AI-based agentic workflow experience

## What We Need

- Profile & Analyze: Dissect cutting-edge AI workloads to identify execution bottlenecks and translate those insights into definitive CPU performance requirements.

- Architect High-Performance Cores: Drive the microarchitecture of custom RISC-V CPU cores, balancing aggressive Performance, Power, and Area (PPA) targets.

- Innovate the ISA: Design and implement custom instructions that unlock massive performance gains without sacrificing compiler programmability or developer velocity.

- Cross-Functional Collaboration: Partner tightly across compiler, software, and hardware teams to co-design Tenstorrentâ€™s next-generation AI compute architecture.

## What You Will Learn

- How modern AI models stress CPU architecture and influence design decisions.

- The interplay between compiler design, CPU microarchitecture, and real-world performance.

- How Tenstorrentâ€™s unified hardware-software stack enables breakthrough performance for general-purpose AI compute.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

## About the Role

Qualcomm is seeking a Machine Learning Applications Engineer â€“ AI Inference & Model Optimization to support the enablement of rackâ€‘scale deep learning workloads on advanced Qualcomm AI inference accelerators. This customerâ€‘facing, highly technical role focuses on porting, optimizing, and validating deep learning AI models on production systems and enabling Qualcommâ€™s partners to develop and deploy advanced machine learning applications, including computer vision, speech, generative AI, and stateâ€‘ofâ€‘theâ€‘art multimodal reasoning models, using popular frameworks such as PyTorch, TensorFlow, and ONNX on Qualcomm Cloud AI accelerators.

The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with crossâ€‘functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.

What Youâ€™ll Do A) AI Model Porting & Optimizen

- Deploy, optimize, and scale deep learning AI models onto acceleratorâ€‘based data center platforms, including model conversion workflows, quantization techniques (INT8 / mixed precision), runtime integration and optimization, and integration onto Qualcommâ€™s Cloud AI ML stack from frameworks such as PyTorch, TensorFlow, and ONNX.

- Drive improvements in model throughput, latency, and accuracy, with clear tradeâ€‘off analysis.

- Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM, TGI, and Triton.

- Optimize workloads for LLM and GenAI models across both multiâ€‘SoC and multiâ€‘card architectures.

- Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.

- Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.

- Contribute to Qualcommâ€™s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.

- Develop and integrate endâ€‘toâ€‘end ML application pipelines with customer frameworks and libraries.

## B) Customerâ€‘Facing Technical Engagement

- Act as a trusted technical advisor for customers deploying AI workloads.

- Engage in hardware sizing and architecture discussions, aligning model requirements with infrastructure capabilities.

- Provide technical guidance on AI model selection, deployment feasibility, system architecture, and performance expectations.

- Lead discussions on model capabilities and limitations based on real customer use cases.

## C) Modelâ€“Infrastructure Alignment

- Assess and evaluate AI model requirements and recommend alternative model approaches when necessary.

- Align model characteristics (latency, throughput, accuracy) with accelerator and system capabilities.

- Connect model requirements with memory constraints, accelerator architecture, and scaling limitations.

- Support customers in defining model selection strategies based on deployment realities.

## D) Performance & Scalability Engineering

- Evaluate performance characteristics of AI models in production scenarios, including throughput expectations, latency targets, and concurrency behavior.

- Guide architecture decisions around scaling strategies (horizontal vs vertical) and hardware deployment sizing.

- Contribute to discussions on workload scalability limits and impact of model selection on system performance and efficiency.

- Provide insights into capacity planning and infrastructure optimization.

## E) Endâ€‘toâ€‘End AI Pipeline Design

- Drive discussions around endâ€‘toâ€‘end AI pipelines, including multiâ€‘model workflows (e.g., detection + tracking + recognition).

- Guide decisions on video and data processing stages, such as video pipeline choices (FFMPEG vs GStreamer) and integration into inference pipelines.

- Ensure pipelines are aligned with performance requirements, hardware capabilities, and realâ€‘time constraints.

## F) Model Tradeâ€‘off Analysis & Validation

- Highlight and explain tradeâ€‘offs between accuracy vs compatibility and model quality vs deployment feasibility.

- Support decisionâ€‘making on model simplification vs performance gains and precision vs efficiency tradeâ€‘offs.

- Lead or support model capability validation in deployment environments.

- Collaborate with customers to define inference assumptions and model sizing strategies for largeâ€‘scale workloads.

## Required Qualifications

- Bachelorâ€™s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

- 10â€“15+ years of experience in deep learning model development or deployment on CPUs/GPUs/ASICs, inference systems, and optimization.

- Experience with data center or edge AI platforms, model quantization and optimization techniques, AI model frameworks (PyTorch, TensorFlow).

- Strong programming skills in C/C++/Python, debugging, performance analysis, and Linuxâ€‘based systems.

- Handsâ€‘on expertise with lowâ€‘level software, drivers, and system bringâ€‘up.

- Proven ability to analyze and optimize model performance in production environments.

- Solid understanding of AI inference hardware constraints, systemâ€‘level performance bottlenecks, and customerâ€‘facing technical communication.

- Willingness to travel for customer engagements and strategic reviews.

## Preferred Qualifications

- Experience deploying models on platforms that use hardware accelerators for inference.

- Managing multiâ€‘model workflows and building realâ€‘time AI systems (computer vision, video, analytics).

- Knowledge of distributed inference methods and largeâ€‘scale model deployments.

- Developing and maintaining video processing workflows using relevant software frameworks.

- Deep understanding of how systemâ€‘level decisions affect performance in deployment environments.

- Capability to simplify complex technical ideas for clients.

- Handsâ€‘on experience running deep learning models on PyTorch, TensorFlow, ONNX.

- Experience developing software solutions for Linux environments with containers and orchestration.

- Experience with source code and configuration management tools; Git knowledge required.

- Customerâ€‘facing experience translating requirements into technical solutions.

- Ability to build and deliver technical demos, proofsâ€‘ofâ€‘concept, and reference applications for ML/GenAI workloads.

- Strong technical writing skills for customerâ€‘ready documentation and partner training sessions.

- Experience driving issue triage and technical escalations with customers.

- Excellent stakeholder management and communication skills.

## Benefits

- Salary including housing & transport allowance.

- Stock (RSU's) and performanceâ€‘related bonus.

- 16 weeks fully paid maternity leave.

- 6 weeks fully paid paternity leave.

- Employee stock purchase scheme.

- Child education allowance.

- Relocation and immigration support (if needed).

- Life and medical insurance.

- Live+ Well reimbursement for health and recreational membership fees.

Equal Opportunity Employment

Qualcomm is an equalâ€‘opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm will provide a reasonable accommodation to support your participation in the hiring process. Contact disabilityâ€‘View email address on click.appcast.io for accommodation requests.

#J-18808-Ljbffr

Executive AI Transformation Lead

Qatar (Open to global talent)

Full package to be disclosed on a call + family benefits & schooling.

Are you passionate about helping organisations turn AI strategy into real business outcomes?

We're partnering with a global organisation seeking an experienced AI leader to work alongside executive stakeholders, shaping enterprise AI strategy while driving the successful delivery of high-impact AI and GenAI initiatives.

This is a unique opportunity for someone who enjoys operating at both strategic and technical levels advising senior leadership, identifying opportunities for innovation, and overseeing implementation from concept through to business adoption.

Responsibilities:

- Identify high-value AI opportunities across business operations and customer-facing functions.

- Develop AI roadmaps, business cases and implementation plans aligned with organisational objectives.

- Partner with executive leadership to define and execute AI transformation strategies.

- Lead end-to-end delivery of AI initiatives, from discovery and solution design through to deployment and adoption.

- Work closely with technical teams and business stakeholders to ensure successful execution and measurable business outcomes.

- Promote AI governance, best practices and sustainable capability across the organisation.

Requirements:

- At least 7 years' experience within AI, Digital Transformation, Enterprise Technology or Management Consulting.

- A proven track record of advising C-suite and senior executives on AI strategy, technology investment and business transformation.

- Recent hands-on experience delivering AI, Generative AI, Analytics or Intelligent Automation initiatives that have delivered measurable commercial or operational value.

- Experience owning the full lifecycle of transformation programmesâ€”from identifying opportunities and defining strategy through to roadmap development, implementation and business adoption.

- Strong knowledge of modern AI technologies including LLMs, Retrieval-Augmented Generation (RAG), AI Agents and Copilot solutions.

- Experience working with Azure, AWS, Google Cloud or NVIDIA AI technologies.

- Public sector or government transformation experience.

- Arabic speaker, preferred

- *Please note only successful applicants will be contacted**

## Job summary

We are seeking an AI Automation Specialist to design, build, and optimize intelligent automation solutions using AI technologies. You will streamline business processes by integrating AI models, workflow automation, and no-code/low-code platforms.

Min Qualification: Degree Experience Level: Senior level Experience Length: 5 years Language Requirement: English Working Hours: Full TimeÂ - 8 to 5 Applicant Location: Remote (Work From Home), Nigeria

Job descriptions & requirements

Responsibilities:

- Design AI-powered automation workflows.

- Develop intelligent process automation solutions.

- Integrate AI models with business applications.

- Build chatbot and virtual assistant workflows.

- Optimize automation performance and scalability.

- Collaborate with stakeholders to identify automation opportunities.

- Maintain documentation and technical specifications.

- Test and troubleshoot automation solutions.

- Ensure security and compliance standards are met.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or related field.

- Minimum 5 years of automation or AI implementation experience.

- Experience with Python and APIs.

- Hands-on experience with tools such as Make, Zapier, n8n, Power Automate, or UiPath.

- Experience integrating OpenAI, Anthropic, Gemini, or similar LLM APIs.

- Knowledge of REST APIs and cloud platforms.

- Strong analytical and troubleshooting skills.

Preferred Qualifications:

- Experience with prompt engineering.

- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).

- Familiarity with AI agents and workflow orchestration.

Software Engineer â€“ AI Evaluation (Remote)

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Language Requirement: English Working Hours: 8 to 5

Job descriptions & requirements

- Role: Software Engineer â€“ AI Evaluation (Remote)

- Location: Remote (Work from Anywhere)

- Job Type: Part-Time

- Payout: Competitive, based on experience

Role Overview:

We are hiring for one of our clients, seeking a Senior Software Engineer â€“ LLM Evaluation (US/Canada/WEU based) to work on a part-time basis. You will create cutting-edge datasets for training, benchmarking, and advancing large language models while collaborating closely with researchers. This includes curating code examples, refining AI-generated code, and designing verification mechanisms for software engineering tasks.

Key Responsibilities:

- Curate code examples, provide precise solutions, and make corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.

- Collaborate with cross-functional teams to enhance enterprise-level AI-driven coding solutions against industry benchmarks.

- Build verification agents to assess code quality and identify error patterns.

- Hypothesize on software engineering lifecycle steps and evaluate model capabilities against them.

Required Skills & Qualifications:

- Several years of software engineering experience (3 years or more).

- Strong expertise in building full-stack applications and deploying scalable, production-grade software.

- Deep understanding of software engineering principles including prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, and operational maintenance.

- Proficiency in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

- Experience designing verification mechanisms for automated solution validation.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet | IT Services and IT Consulting | Data Infrastructure and Analytics | Research Services industry, contributing to the advancement of frontier AI systems. The position supports customers in accelerating research and transforming AI proofs of concept into proprietary intelligence.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business â€” today and in the future.

The Pre-Sales Senior AI Solutions Engineer plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, productionâ€‘inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.

## Key Responsibilities

Business-to-Technical Translation & Problem Understanding

- Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.

- Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).

- Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.

Agentic AI Solution Design & Prototyping

- Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.

- Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.

- Frontend & UX: Build intuitive, enterpriseâ€‘grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.

- Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.

Demo Execution & Sales Collaboration

- Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem â†’ agentic solution â†’ business impact. Help shape and refine use cases based on account maturity and strategic alignment.

- Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.

- Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).

Cross-Functional Feedback & Compliance Alignment

- Security & Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.

- Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.

- Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.

## Knowledge, Skills, And Abilities

Pre-Sales & Platform Selling Experience

- Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.

- Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.

- Prior experience turning rapid MVPs into production applications or longâ€‘term enterprise platforms.

Core Technical Skills

- Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).

- Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.

- Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.

Problem Solving & Communication

- Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.

- Exceptional ability to move from ambiguity to clarity quickly.

- Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.

## Education & Experience

- 6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.

- Bachelorâ€™s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.

- Prior experience applying AI or complex software solutions within the Oil & Gas industry is a strong plus.

- Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.

## The talent and dedication of our employees are at the core of DataRobotâ€™s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employeesâ€™ well-being at the core. Hereâ€™s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

- Wow Our Customers

- Set High Standards

- Be Better Than Yesterday

- Be Rigorous

- Assume Positive Intent

- Have the Tough Conversations

- Be Better Together

- Debate, Decide, Commit

- Deliver Results

- Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. Weâ€™d love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Laborâ€™s EEO poster and EEO poster supplement for additional information.

Use of Artificial Intelligence in Our Hiring Process

DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

## About Bullish

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange â€“ a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices â€“ a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights â€“ a digital asset media and events provider and operator of Coindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology.

## Reports to

Product Manager - Exchange Product

AI Engineer â€” Internal Tools & Automation

The AI Engineering team acts as an internal catalyst. We identify where the business is slow, build tools to fix it, and move on. Our work spans Customer Success, Exchange Operations, Trading, and Custody â€” wherever there's friction worth eliminating.

This isn't a research role. We ship fast, measure impact, and iterate. You'll spend more time prototyping with LLMs and building agentic workflows than writing infrastructure, but you'll own what you build all the way to production.

## What You'll Do

- Partner with a business counterpart to identify and scope operational bottlenecks, then build the tools to fix them

- Move autonomously across the organization: gather requirements, secure data access, and earn the trust of teams you're helping

- Ship quickly using whatever fits: n8n, Make, Zapier, Lovable, or custom Python. Right tool for the right job.

- Build and maintain production AI systems: RAG pipelines, conversational interfaces, workflow automation, internal agents

- Run workshops and training sessions to help non-technical teams actually use what you build

- Define metrics upfront, track them, and tell the story of what changed

## What We're Looking For

We care more about what you've shipped than where you worked. Show us:

- A portfolio of things you've built. Personal projects, side tools, public demos, anything you can point at. GitHub, a writeup, a Loom walkthrough, a live URL. All count.

- Evidence you move fast with LLMs. You've run multiple coding agents in parallel and know how to coordinate between them. You have a feel for how capable frontier models actually are, and you match model intelligence to task complexity rather than defaulting to the biggest one every time.

- Production instincts. You've dealt with the gap between "it works in the demo" and "it works at 3am when nobody's watching." Evals, error handling, observability. You've thought about this.

- A process-driven mindset. You document how things work before someone asks you to. Your SOPs and checklists aren't overhead â€” they're how you stay sharp and move fast without dropping things.

- You've always had ideas. Now you can ship them. AI coding agents removed the bottleneck that used to sit between your thinking and working software. You don't wait for an engineer to build what you've already figured out.

- Communication that closes the gap. You can translate what you built into terms that matter to the business partner who asked for it.

- Formal experience: 2+ years in a role where you shipped tools that people actually used.

## Nice to Haves

- Experience with vector databases (Qdrant, Pinecone, pgvector)

- Familiarity with SQL and relational databases so you can pull your own data

- Docker / containerization basics

- Any exposure to blockchain or trading concepts (we'll teach you what you need)

Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

Paired is an overseas staffing agency that connects top talent to remote opportunities with employers in the U.S. and beyond. We believe great jobs shouldn't be limited by location, and we're here to help you find remote roles that match your skills and career goals. About Our Clients

Our client is one of the world's fastest-growing Google Ads agencies, managing nine figures in annual ad spend for over 180 direct-to-consumer (DTC) ecommerce brands. They specialize in performance marketing, leveraging cutting-edge AI tools and direct partnerships with Google to create high-performing advertising campaigns. They are looking for an AI Creative Strategist to take ownership of AI-powered video advertising from research and strategy through to production and optimization, with a strong focus on YouTube creatives.

## Responsibilities

- Research markets, competitors, and customer personas to identify compelling advertising angles.

- Develop creative concepts, messaging frameworks, and scripts for AI-generated video advertisements.

- Produce end-to-end AI-powered ad creatives, including Video Sales Letters (VSLs), AI avatars, claymation, UGC-style ads, and other emerging creative formats.

- Utilize AI creative tools to generate, edit, and deliver high-quality performance-focused video ads.

- Analyze campaign performance data and continuously optimize creatives based on testing results.

- Build and manage a high-volume creative testing pipeline focused on conversion and performance.

- Collaborate closely with media buyers, landing page specialists, and content teams to ensure creative consistency across campaigns.

- Stay ahead of emerging AI creative technologies, trends, and advertising formats.

## Requirements

- Proven experience creating performance-driven ecommerce advertising creatives, particularly for YouTube.

- Strong understanding of direct response marketing principles, including customer avatars, positioning, hooks, offers, and creative angles.

- Hands-on experience using AI creative tools such as Claude, Manus, Higgsfield, fal.ai, Atria, or similar AI platforms.

- Experience producing AI-generated VSLs, AI avatars, UGC-style creatives, or comparable performance marketing assets.

- Ability to independently own the entire creative process from market research to final production.

- Comfortable interpreting campaign performance metrics and using data to improve creative performance.

- Experience working with DTC ecommerce brands is highly preferred.

- Self-driven, highly adaptable, and passionate about experimenting with new AI technologies.

## Nice to Have

- Experience working within performance marketing or digital advertising agencies.

- Familiarity with Google Ads, YouTube Ads, Meta Ads, or other paid acquisition channels.

- Portfolio showcasing AI-generated performance marketing creatives that have been used in live campaigns.

## Benefits

- Competitive salary based on experience.

- Fully remote position with flexible working hours.

- Paid time off.

- Opportunity to work alongside a senior international team.

- Team retreats and workations.

- Exposure to leading AI creative workflows and large-scale performance marketing campaigns.

At TNG Digital, part of TNG Digital Group, we build the tech behind TNG eWallet, one of Malaysiaâ€™s most used apps for payments and everyday life.

Millions of people rely on us daily, not just to pay, but to manage money, access financial services, and get things done faster and simpler.

Behind it all is a team that likes to question how things are done, move quickly, and try new ideas. If you enjoy solving real problems and seeing your work used at scale, you will feel right at home here.

What You'll Do:

- Data Warehouse Architecture: Design scalable data warehouse solutions, defining data models, ETL/ELT pipelines, and integration patterns to support enterprise analytics.

- AI Solution Delivery: Architect AI-powered applications such as intelligent automation, document processing, and decision-support systems, focusing on practical business outcomes.

- LLM Integration: Architect solutions leveraging LLMs for use cases such as RAG, intelligent search, content generation, and workflow automation. Evaluate LLM providers and deployment strategies.

- Data Platform Strategy: Define the data and AI architecture roadmap. Establish standards for data governance, quality, metadata management, and security.

- Stakeholder Engagement: Translate business requirements into technical architectures. Present proposals and trade-offs to both technical and non-technical audiences.

- Technical Leadership: Establish best practices, design patterns, and reference architectures for the team.

- Cloud Architecture: Design cloud-native data and AI solutions on AWS, Azure, or GCP, ensuring cost efficiency and operational resilience.

Role Requirements:

- Bachelorâ€™s or Masterâ€™s in Computer Science, IT, Data Science, or related field. Cloud/data certifications are a strong advantage.

- Minimum 7 in data engineering, data architecture, or AI/ML solution delivery, with at least 2 years in an architect or lead role.

- Experience with data warehouse technologies (e.g., Snowflake, BigQuery, Redshift, Synapse, Databricks) and dimensional modelling concepts.

- Proven track record delivering AI-powered applications in production.

- Hands-on experience integrating LLMs (OpenAI, Anthropic, Gemini, or open-source) and into enterprise applications.

- Proficiency with at least one major cloud provider and its data/AI services. Infrastructure-as-code experience is a plus.

- Proficient in any programming languages and SQL.

- Ability to produce solution architecture documents, data flow diagrams, and integration blueprints.

What You Get Work your way

- Flexible working hours

Your wellbeing matters

- Medical coverage, with option to include dependants

- Extra leave for family and caregiving needs

Rewards that grow with you

- Monthly lifestyle allowance via TNG eWallet

- Long-term rewards for your contributions

Everyday support

- Mobile and broadband reimbursement

- Discounts and wellness perks

What itâ€™s like to work here We care about people who take ownership, speak up, and want to make things better. Titles matter less than impact. Good ideas can come from anyone.

You will be working with people who are curious, practical, and not afraid to challenge each other in a good way.

Note: Only shortlisted candidates will be contacted.

AI Governance Lead-QATAR-DOHA Location

## AI Governance Lead

Key Responsibilities

AI Use Case Ownership & Decision Intelligence

AI Performance, Drift & Responsible AI

Required Skills

Zero to AI Engineer