accountant – accounts receivable (junior)

ai platform engineer

aws devops senior

contracts team leader

project manager

senior devops engineer

ai team lead

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 
 About Dwelleo
 
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 
 
 
 
 Job summary:
 
 
 
 
 
 
 As AI Lead, you will own both our ML and LLM workstreams: defining the technical architecture, governing production systems, and leading the team that ships them. This is a hands-on leadership position &mdash; you are expected to be close to the technical decisions, not just the roadmap.
 
 
 
 
 The immediate scope spans two areas: maturing our ML platform (pricing, forecasting, drift monitoring) and scaling our agentic AI systems into robust, production-grade infrastructure.
 
 
 
 
 You will lead a team of 3&ndash;7 engineers, staying hands-on technically while owning delivery, standards, and team growth.
 
 
 
 
 &nbsp;
 
 
 
 
 Main Functions &amp; Responsibilities:
 
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Own the full ML lifecycle &mdash; feature engineering, training, evaluation, deployment, and drift monitoring for pricing, rent, and ROI prediction models
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Define the experimentation framework &mdash; data contracts, labelling strategies, A/B testing pipelines, guardrail metrics, and rollback procedures
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect production agentic systems &mdash; design LLM-based multi-agent workflows with deterministic state machines, guardrail layers, and escalation logic
 
 
 
 
 &nbsp;●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead infrastructure and platform decisions &mdash; FastAPI microservices on AWS ECS, model serving, CI/CD (GitHub Actions + MLflow), and end-to-end observability
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Drive research and evaluation &mdash; assess new approaches across supervised learning, NLP, and agentic AI; decide what gets built, what gets dropped, and why
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead a team of 3&ndash;7 engineers &mdash; set engineering standards, conduct code and design reviews, mentor team members, and participate in hiring as the technical voice
 
 
 
 &nbsp;
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 Required
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6+ years of ML engineering experience, with at least 3 years in a technical lead or senior individual contributor role
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Production-scale ML: supervised learning, gradient boosting (XGBoost / LightGBM), regression, feature engineering, and model evaluation
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid MLOps practice: experiment tracking, model registry, canary deployments, drift detection, and incident response
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2+ years working with LLM orchestration, RAG architectures, or multi-agent system design
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated experience leading a team of engineers &mdash; including hiring, mentoring, setting technical direction, and translating AI capabilities into product outcomes
 
 
 
 &nbsp;
 
 
 
 Skills:
 
 
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Leadership &ndash; guide and support the team to achieve goals
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Clear communication &ndash; align technical and business teams
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Decision-making &ndash; choose the right solutions and priorities
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Teamwork &ndash; build a collaborative and positive team environment
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Problem-solving &ndash; handle challenges and unblock the team
 
 
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strategic thinking &ndash; connect AI work with business goals&nbsp;
 
 
</div>

AI Team Lead

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

Bevatel

<div>
 Bevatel is looking for an AI Product Owner who owns the backlog and delivery of AI‑powered features across customer‑facing experiences (Call Center, Business Chat, SMS touchpoints). Focuses on how AI improves agent productivity, reporting and automation, coordinating with platform teams on AI services.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Maintain and prioritize the AI experience backlog (e.g., AI call analytics, AI agents, AI tagging, AI‑assisted replies).
 </li>
 <li>
 Translate strategic AI objectives into actionable user stories and acceptance criteria.
 </li>
 <li>
 Work with Call Center, Chat, SMS and Core teams to embed AI into their workflows consistently.
 </li>
 <li>
 Coordinate with platform/engineering on AI service capabilities, constraints and performance.
 </li>
 <li>
 Lead agile ceremonies for AI‑focused work, track progress and manage cross‑team dependencies.
 </li>
 <li>
 Validate AI features with users and internal stakeholders; iterate based on feedback and data.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years as a Product Owner, PM or BA in SaaS; exposure to AI/ML features is mandatory.
 </li>
 <li>
 Understanding of contact center or messaging workflows is advantageous.
 </li>
 <li>
 Strong communication skills bridging business, UX and technical teams.
 </li>
 <li>
 Experience with Agile delivery and backlog management tools.
 </li>
 </ul>
</div>

AI Product Owner

Valeo

<div>
 
 We are looking for a
 
 Senior UI/UX Designer
 
 to join the
 
 AI4All global team
 
 and lead the design of intuitive, scalable, and impactful AI-powered digital products.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead end-to-end UX/UI design for complex AI-driven products, from discovery to launch.
 </li>
 <li>
 Own UX strategy, information architecture, interaction models, and experience vision.
 </li>
 <li>
 Design high-fidelity user flows, wireframes, prototypes, and production-ready UI.
 </li>
 <li>
 Engage directly with customers, users, and stakeholders to understand needs, pain points, and expectations.
 </li>
 <li>
 Plan and conduct user research, interviews, workshops, and usability testing with customers and internal teams.
 </li>
 <li>
 Facilitate design discussions and present design solutions to stakeholders, clearly explaining rationale, trade-offs, and impact.
 </li>
 <li>
 Collaborate closely with product owners, developers, data scientists, and business stakeholders to ensure alignment and smooth delivery.
 </li>
 <li>
 Manage and evolve design systems, ensuring consistency, scalability, and accessibility across products.
 </li>
 <li>
 Mentor junior designers and support design quality across the team.
 </li>
 <li>
 Advocate for UX best practices, AI usage and ensure customer-centric thinking across product decisions.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Applied Arts, Fine Arts, Design, or a related field.
 </li>
 <li>
 4+ years of professional experience in UI/UX or Product Design.
 </li>
 <li>
 Strong expertise in UX methodologies, user-centered design, and design thinking.
 </li>
 <li>
 Advanced proficiency in Figma (design systems, auto layout, prototyping).
 </li>
 <li>
 Strong skills in Adobe illustrator; knowledge of other Adobe tools is a plus.
 </li>
 <li>
 Proven experience working with customers and cross-functional stakeholders.
 </li>
 <li>
 Strong portfolio demonstrating UX problem-solving, design rationale, and business outcomes.
 </li>
 <li>
 Good understanding of front-end technologies (HTML, CSS, React) to collaborate effectively with engineering teams.
 </li>
 <li>
 Experience designing AI-powered products or using AI design tools is a strong plus.
 </li>
 </ul>
</div>

Senior UI/UX Designer, AI4ALL

QNBeyond Plus

<div>
 
 
 About the Role
 
 
 
 We are looking for an experienced
 
 Project Manager &ndash; Data, Analytics &amp; AI
 
 to lead and coordinate projects across our data and analytics initiatives.
 
 
 In this role, you will work closely with
 
 data engineers, data analysts, and AI/ML teams
 
 to ensure the successful delivery of data-driven solutions that support business decision-making and innovation across our digital banking platform.
 
 
 The ideal candidate has strong experience managing
 
 data and analytics projects
 
 , coordinating cross-functional technical teams, and delivering complex technology initiatives.
 
 
 Key Responsibilities
 
 
 Project Management
 
 <ul>
 <li>
 Lead end-to-end delivery of
 
 data, analytics, and AI-related projects
 
 .
 </li>
 <li>
 Define project scope, timelines, milestones, and deliverables.
 </li>
 <li>
 Ensure projects are delivered
 
 on time, within scope, and within budget
 
 .
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 data engineers, data scientists, analysts, and product teams
 
 .
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders.
 </li>
 </ul>
 
 Data &amp; Analytics Initiatives
 
 <ul>
 <li>
 Manage initiatives related to
 
 data platforms, analytics solutions, and AI models
 
 .
 </li>
 <li>
 Coordinate implementation of data pipelines, reporting tools, and analytics platforms.
 </li>
 </ul>
 
 Monitoring &amp; Reporting
 
 <ul>
 <li>
 Track project progress and ensure alignment with business objectives.
 </li>
 <li>
 Identify risks, dependencies, and potential bottlenecks.
 </li>
 </ul>
 
 Process Optimization
 
 <ul>
 <li>
 Improve project delivery processes and data team collaboration.
 </li>
 <li>
 Ensure alignment with
 
 Agile or hybrid delivery frameworks
 
 .
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum
 
 3+ years of experience in project management
 
 </li>
 <li>
 Proven experience managing
 
 data, analytics, or technology projects
 
 </li>
 <li>
 Project management certifications such as
 
 PMP, PRINCE2, or Agile certifications
 
 </li>
 </ul>
 
 
 Technical Understanding
 
 
 <ul>
 <li>
 Strong understanding of
 
 data platforms, analytics tools, or AI/ML workflows
 
 </li>
 <li>
 Experience working with
 
 data engineering or analytics teams
 
 </li>
 </ul>
 
 Methodologies
 
 <ul>
 <li>
 Experience with
 
 Agile, Scrum, or hybrid project management frameworks
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong stakeholder management skills
 </li>
 <li>
 Excellent communication and leadership abilities
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 data analytics, AI, or machine learning projects
 
 </li>
 <li>
 Experience working in
 
 financial services, fintech, or digital banking
 
 </li>
 <li>
 Familiarity with
 
 data platforms, data warehouses, or BI tools
 
 </li>
 </ul>
 
 
</div>

Project Manager – Data, Analytics & AI

Mumzworld.com

<div>
 
 Role Overview:
 
 
 
 Mumzworld is looking for a strong, hands-on Head of Customer Experience &amp; Customer Service to lead and transform our customer function across multiple markets, languages, and channels.
 
 
 This is not a pure strategy role. We need someone who can manage daily operations, diagnose customer pain points, and build the future of customer service at the same time.
 
 
 
 The role has three core pillars:
 
 
 
 
 Customer Service Operations:
 
 
 
 Run the customer service machine with excellence, efficiency, quality, cost discipline, and strong KPI ownership.
 
 
 
 Customer Experience / CXP:
 
 
 
 Act as the voice of the customer across the company, using NPS, CSAT, complaints, reviews, and service data to identify pain points and push root-cause fixes across departments.
 
 
 
 Agentification &amp; Automation:
 
 
 
 Lead the transformation of CS and CXP workflows through AI agents, automation, agent-assist tools, and smarter processes.
 
 
 
 What You Will Be Doing:
 
 
 2. Customer Experience / CXP
 
 
 3. Agentification, AI &amp; Automation
 
 
 What You Will Need:
 
 
 Mindset &amp; Skills:
 
 
 Success Metrics:
 
 
 Why This Role Matters
 
 
 
 <ul>
 <li>
 Customer Service Operations
 </li>
 <li>
 Lead customer service operations across multiple markets, channels, and languages, including Arabic and English.
 </li>
 <li>
 Own frontline and back-office performance across chat, WhatsApp, email, phone, social media, escalations, and CS sales.
 </li>
 <li>
 Manage in-house and BPO teams through strong operating routines, governance, workforce management, and performance discipline.
 </li>
 <li>
 Drive core CS KPIs: SLA, AHT, first contact resolution, quality, productivity, backlog, escalation rate, contact rate, and cost per contact.
 </li>
 <li>
 Build a high-performance culture across agents, team leaders, QA, WFM, and support teams, ensuring TLs coach agents rather than only manage queues.
 </li>
 <li>
 Own the measurement and improvement of customer happiness through NPS, CSAT, reviews, complaints, sentiment, and operational service data.
 </li>
 <li>
 Build a structured Voice of Customer engine that turns customer feedback into clear, quantified, and actionable priorities.
 </li>
 <li>
 Identify root causes behind poor customer experience across CS, logistics, fulfilment, product, catalogue, commercial, marketplace, marketing, and technology.
 </li>
 <li>
 Work cross-functionally to ensure customer pain points are not only reported, but actually fixed
 </li>
 <li>
 Improve the full customer journey from browsing and checkout to delivery, returns, refunds, escalations, and repeat purchase.
 </li>
 <li>
 Lead the agentification agenda within Customer Service and Customer Experience, starting from real workflows and operational pain points.
 </li>
 <li>
 Identify manual, repetitive, and high-volume workflows that can be automated through AI agents, rule-based automation, and agent-assist tools.
 </li>
 <li>
 Partner with Product, Tech, Data, and AI teams to design practical solutions that reduce manual work and improve speed, accuracy, and consistency.
 </li>
 <li>
 Drive adoption of AI tools across frontline teams, ensuring tools are embedded into daily routines and not just launched.
 </li>
 <li>
 Measure impact through deflection rate, automation accuracy, AHT reduction, manual workload reduction, cost per contact improvement, and customer satisfaction.
 </li>
 <li>
 Data, Governance &amp; Cross-Functional Leadership
 </li>
 <li>
 Build clear executive visibility on CS and CX performance, risks, opportunities, and required interventions.
 </li>
 <li>
 Run strong daily, weekly, and monthly operating routines, including performance reviews, root-cause reviews, and campaign readiness checks.
 </li>
 <li>
 Translate data into clear narratives for leadership, showing what is improving, what is broken, and where action is needed.
 </li>
 <li>
 Work closely with Operations, Logistics, Fulfilment, Product, Tech, Commercial, Marketplace, Catalogue, Marketing, and Growth teams.
 </li>
 <li>
 Represent the customer in leadership discussions with facts, judgment, and practical recommendations.
 </li>
 <li>
 8 to 12+ years of experience in customer service operations, customer experience, customer operations, or customer support leadership.
 </li>
 <li>
 Proven experience managing large CS teams across multiple markets, ideally in e-commerce, marketplaces, digital platforms, retail, logistics, or tech-enabled businesses.
 </li>
 <li>
 Strong experience managing multilingual teams, especially Arabic and English support operations.
 </li>
 <li>
 Deep knowledge of CS KPIs, workforce management, quality assurance, BPO management, team leader structures, and operational governance.
 </li>
 <li>
 Strong exposure to NPS, CSAT, Voice of Customer, complaint analysis, customer journey improvement, and cross-functional CX projects.
 </li>
 <li>
 Practical understanding of CRM systems, chatbots, agent-assist tools, knowledge bases, workflow automation, AI agents, and customer service automation.
 </li>
 <li>
 Operationally strong: Runs the daily CS machine with discipline, structure, and accountability.
 </li>
 <li>
 Customer-first: Identifies what creates customer frustration and pushes the business to fix
 </li>
 <li>
 Builder mindset: Creates structure in a messy environment without waiting for perfect tools or systems.
 </li>
 <li>
 Agentification mindset: Practical about AI, automation, and bottom-up workflow redesign.
 </li>
 <li>
 Data-driven: Uses data to diagnose problems, prioritize actions, and measure impact.
 </li>
 <li>
 Hands-on leader: Goes deep into tickets, workflows, dashboards, agent behavior, and customer complaints.
 </li>
 <li>
 Cross-functional influencer: Pushes other teams with facts, clarity, and persistence.
 </li>
 <li>
 SLA, AHT, productivity, backlog, quality, and cost per contact improvement
 </li>
 <li>
 First contact resolution and escalation reduction CSAT, NPS, sentiment, and complaint reduction Contact rate / contacts per gross order improvement
 </li>
 <li>
 Shrinkage, adherence, attrition, and team leader coaching effectiveness
 </li>
 <li>
 Automation adoption, deflection rate, AI accuracy, and manual workload reduction
 </li>
 <li>
 Measurable reduction in key customer pain points across logistics, product, catalogue, commercial, marketplace, and tech
 </li>
 <li>
 CS contribution to assisted sales, conversion, retention, and customer lifetime value
 
 
 </li>
 </ul>
 Customer service is one of the strongest trust builders for mothers and families. At Mumzworld, this role is not only about managing a support team. It is about building a customer experience engine that listens to customers, fixes root causes, and uses AI to make service faster, smarter, and more human.
 
 
 You will own the daily service machine, represent the voice of the customer across the company, and lead the agentification of one of Mumzworld&rsquo;s most operationally rich functions.
</div>

Head of Customer Experience & Customer Service

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Director
 
 
 
 
 Job Description &amp; Summary
 
 
 The Director (D) for AI &amp; Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains.
 
 This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud-native architectures to deliver scalable, secure, and value-generating intelligent systems &ndash; leveraging the latest in thinking in the future agentic web.
 
 The MD/D will partner with C-suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale&mdash;accelerating innovation, enhancing decision-making, and transforming enterprise operations.
 
 
 
 
 Key Leadership Responsibilities
 
 &nbsp;
 
 
 
 Strategic Vision &amp; Governance
 
 &nbsp;
 
 <ul>
 <li>
 Define the global AI &amp; Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 
 Experience delivering solutions leveraging
 
 </li>
 <li>
 Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.
 </li>
 </ul>
 <ul>
 <li>
 Drive responsible integration of
 
 Large Language Models (LLMs)
 
 from &nbsp;multiple providers including deployment via
 
 Azure OpenAI Service, Amazon Bedrock
 
 or
 
 Vertex AI
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement
 
 retrieval-augmented generation (RAG)
 
 architectures and manage
 
 vector databases
 
 &nbsp;
 
 </li>
 </ul>
 
 Data Platform &amp; Engineering Excellence
 
 &nbsp;
 
 <ul>
 <li>
 Lead the evolution of the enterprise data estate, leveraging modern data platforms such as
 
 Databricks
 
 ,
 
 Snowflake
 
 ,
 
 Azure Synapse
 
 , AWS Glue/Redshift and
 
 BigQuery
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee data engineering using
 
 Apache Airflow
 
 ,
 
 dbt
 
 , and
 
 Prefect
 
 , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards (
 
 Collibra
 
 ,
 
 Alation
 
 ,
 
 Microsoft Purview
 
 ).&nbsp;
 </li>
 <li>
 Ensure high-quality, compliant data foundations for machine learning and analytics workloads.&nbsp;
 
 </li>
 </ul>
 
 Cloud, Infrastructure &amp; MLOps
 
 &nbsp;
 
 <ul>
 <li>
 Champion multi-cloud architecture and engineering excellence across
 
 Azure
 
 ,
 
 AWS
 
 , and
 
 GCP
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise MLOps initiatives using
 
 Azure ML
 
 ,
 
 SageMaker
 
 ,
 
 Vertex AI
 
 ,
 
 MLflow
 
 , and
 
 Kubeflow
 
 &nbsp;
 
 </li>
 </ul>
 
 Intelligent Automation &amp; Cognitive Services
 
 &nbsp;
 
 <ul>
 <li>
 Drive end-to-end intelligent automation using
 
 Power Automate
 
 ,
 
 Blue Prism
 
 , and
 
 Automation Anywhere
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Integrate
 
 cognitive services
 
 including
 
 Azure Cognitive Services
 
 ,
 
 AWS Comprehend
 
 ,
 
 Form Recognizer
 
 , and
 
 Speech/Translation APIs
 
 to augment digital workflows.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise
 
 process mining
 
 and
 
 optimization initiatives
 
 via
 
 Celonis
 
 ,
 
 Power BI Process Mining
 
 , and
 
 ProcessGold
 
 .&nbsp;
 
 </li>
 </ul>
 
 Security, Compliance &amp; Responsible AI
 
 &nbsp;
 
 <ul>
 <li>
 Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee
 
 identity and access management
 
 through
 
 Azure AD
 
 ,
 
 OAuth2
 
 ,
 
 OpenID Connect
 
 , and integration with enterprise IAM systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Champion ethical AI, bias detection, and explainability through
 
 Azure Responsible AI Dashboard
 
 and equivalent frameworks.&nbsp;
 
 </li>
 </ul>
 
 
 Leadership, Talent &amp; Innovation
 
 
 &nbsp;
 
 <ul>
 <li>
 Build and lead high-performing global teams in data science, engineering, and automation disciplines.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Cultivate a culture of innovation, continuous learning, and responsible experimentation.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Engage with the external AI ecosystem&mdash;academic institutions, hyperscalers, and startups&mdash;to identify strategic partnerships and emerging opportunities.&nbsp;
 
 
 </li>
 </ul>
 
 Preferred Background
 
 
 <ul>
 <li>
 &nbsp;Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI, data, and automation transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven record integrating
 
 Python-based AI
 
 with
 
 .NET enterprise systems
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Deep expertise across multi-cloud environments, data governance, and enterprise DevSecOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Demonstrated ability to deliver large-scale transformation programs and measurable ROI.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong executive presence, communication, and client/stakeholder management skills.&nbsp;
 
 
 
 </li>
 </ul>
 
 Minimum years experience required
 
 
 
 
 Additional application instructions
 
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP) {+ 53 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, AI Architect - Director level

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