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

Confidential Government

<div>
 
 We are seeking a highly experienced Artificial Intelligence (AI) expert with over six years of proven experience in designing, developing, and implementing AI and machine learning solutions, as well as managing AI products. The ideal candidate will have a strong understanding of government sector needs and the ability to translate them into practical, scalable use cases. This role will play a key part in enhancing government services, improving operational efficiency, and enabling data-driven decision-making, in alignment with national digital transformation and AI strategies, as well as AI ethics standards.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Lead and manage a team of data scientists and AI engineers to design, develop, and deploy AI-driven solutions.
 </li>
 <li>
 Collaborate with various departments to identify opportunities where AI can enhance service delivery and operational performance.
 </li>
 <li>
 Translate business needs and operational challenges into actionable AI use cases with defined KPIs and measurable impact.
 </li>
 <li>
 Develop and maintain the AI roadmap, ensuring alignment with organizational and national digital strategies.
 </li>
 <li>
 Oversee the full lifecycle of AI projects, from proof of concept (PoC) to production deployment.
 </li>
 <li>
 Evaluate and select appropriate tools, technologies, and models across machine learning, deep learning, NLP (Arabic), computer vision, generative AI, and LLMs.
 </li>
 <li>
 Ensure compliance with data governance, privacy, cybersecurity, and AI ethics standards and regulations.
 </li>
 <li>
 Implement best practices in data engineering and MLOps to ensure scalability, reliability, and sustainability of AI solutions.
 </li>
 <li>
 Mentor team members and contribute to building internal AI capabilities.
 </li>
 <li>
 Prepare and present reports to senior leadership on project progress, outcomes, and business impact.
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum of 6+ years of experience in AI/ML development and implementation.
 </li>
 <li>
 Proven experience in leading cross-functional teams and delivering AI solutions at scale.
 </li>
 <li>
 Strong knowledge of machine learning, deep learning, NLP (preferably Arabic), and AI product management.
 </li>
 <li>
 Experience working within or with government entities is highly preferred.
 </li>
 <li>
 Familiarity with data governance, cybersecurity, and AI ethics frameworks.
 </li>
 </ul>
 
 
 
 
 Key Skills:
 
 <ul>
 <li>
 Strategic thinking and problem-solving
 </li>
 <li>
 Leadership and team management
 </li>
 <li>
 Stakeholder management and communication
 </li>
 <li>
 Data-driven decision-making
 </li>
 <li>
 Project and product management
 </li>
 </ul>
</div>

Artificial Intelligence Lead

Printerpix

<div><div>Role Overview 
</div><div>
SYNCOMS is scaling its AI capabilities toward high-impact, production-ready systems across multiple business areas and markets. 
</div><div>
We are looking for a hands-on AI Team Lead who will drive execution, global coordination, workflow design, and delivery across multiple AI initiatives. This role requires someone who can combine technical understanding with strong coordination and process thinking, ensuring fast, structured, and measurable output. 
</div><div>
You will work directly with the Head of AI and Company Director, with a strong emphasis on daily reporting, accountability, and delivery visibility across all projects. 
</div><div>
Core Objective</div><div>
To ensure fast, structured, and scalable delivery of AI-driven workflows and systems, by focusing on:</div><ul><li>
Global coordination across teams.</li><li>
Daily execution tracking and reporting.</li><li>
Workflow design and process optimisation.</li><li>
Rapid MVP development and iteration.</li><li>
Efficient use of modern AI/LLM tools.</li></ul><div></div><div> 
Key Responsibilities:</div><div>
Global Coordination (Critical Focus):</div><ul><li>
Act as the central coordination point across teams in:<ul><li>
 Dubai</li><li>
 UK</li><li>
 India</li></ul></li><li>
Ensure daily alignment on all projects and tasks.</li><li>
Follow up continuously to maintain progress and deadlines.</li><li>
Identify and resolve delays, inefficiencies, and blockers.</li><li>
Maintain clear communication across time zones.</li></ul><div>
Daily Reporting &amp; Execution Tracking (Core Requirement):</div><ul><li>
Provide daily reporting directly to the Company Director, including:<ul><li>
Status of each project.</li><li>
Task-level progress.</li><li>
Risks, blockers, and delays.</li></ul></li><li>
Track:<ul><li>
Team output.</li><li>
Delivery timelines.</li><li>
Performance improvements.</li></ul></li><li>
Ensure full visibility and accountability across all ongoing projects.</li></ul><div>
Workflow Design &amp; Process Optimisation:</div><ul><li>
Design and improve AI-driven workflows across marketing and business operations.</li><li>
Continuously optimise processes to improve:<ul><li>
Speed.</li><li>
Efficiency.</li><li>
Output quality.</li></ul></li><li>
Architect workflows that can scale across multiple regions and high user volumes.</li><li>
Focus on practical execution over theoretical design.</li></ul><div>
Rapid MVP Development:</div><ul><li>
Design and support MVP (Minimum Viable Product) builds within 1 week timelines.</li><li>
Ensure quick turnaround from concept to working solution.</li><li>
Iterate rapidly based on feedback and performance.</li></ul><div>
AI Systems &amp; LLM Utilisation:</div><ul><li>
Support implementation and optimisation of:<ul><li>
AI/ML systems.</li><li>
LLM-based workflows and tools.</li></ul></li><li>
Ensure use of the most suitable and up-to-date models for performance and efficiency.</li><li>
Contribute to:<ul><li>
Model fine-tuning.</li><li>
RAG-based workflows (basic level).</li><li>
Performance monitoring and improvements.</li></ul></li></ul><div>
Product Readiness &amp; Deployment Support:</div><ul><li>
Assist in moving solutions into production-ready environments</li><li>
Support:<ul><li>
API integrations</li><li>
Testing and validation</li><li>
Deployment workflows</li></ul></li><li>
Ensure solutions are usable, scalable, and business-ready</li></ul><div>
Team Supervision:</div><ul><li>
Guide and coordinate junior AI engineers.</li><li>
Assign tasks and ensure timely completion.</li><li>
Maintain:<ul><li>
Code quality.</li><li>
Structured workflows.</li><li>
Delivery discipline.</li></ul></li></ul><div></div><div> 
Candidate Profile:</div><div>
Experience:</div><ul><li>
2&ndash;5 years in AI/ML, automation, or technical systems.</li><li>
Experience in workflow design, process optimisation, or system delivery.</li><li>
Exposure to team coordination or supervisory responsibilities preferred.</li></ul><div>
Technical Skills:</div><ul><li>
Understanding of:<ul><li>
AI/ML frameworks (PyTorch, TensorFlow &ndash; basic to intermediate).</li><li>
LLMs and AI tools (practical usage).</li><li>
APIs and deployment workflows.</li></ul></li><li>
Familiarity with:<ul><li>
Automation tools.</li><li>
Data pipelines and basic MLOps.</li></ul></li></ul><div>
Core Competencies:</div><ul><li>
Strong coordination and follow-up ability.</li><li>
Excellent reporting discipline and accountability.</li><li>
Ability to design and optimise workflows and processes.</li><li>
Execution-focused with a fast delivery mindset.</li><li>
Strong communication across global teams.</li></ul><div>
Performance Expectations (First 6 Months):</div><ul><li>
Establish daily reporting discipline across all projects.</li><li>
Ensure strong coordination across global teams.</li><li>
Deliver rapid MVPs (within ~1 week cycles where applicable).</li><li>
Improve workflow efficiency and reduce delays.</li><li>
Support multiple AI systems reaching production-ready stage.</li><li>
Enhance execution speed and process structure.</li></ul><div></div><div> 
Compensation &amp; Incentives:</div><ul><li>
Competitive salary aligned with AI Team Lead / Supervisor level.</li><li>
Performance-based bonus assessed by the Company Director.</li><li>
Based on:<ul><li>
Delivery consistency.</li><li>
Speed of execution.</li><li>
Coordination effectiveness.</li><li>
Output quality.</li></ul></li></ul><div></div><div> 
Growth &amp; Opportunities:</div><ul><li>
Work with a multinational group (35+ years established).</li><li>
Exposure to large-scale operations (multi-country, high user base).</li><li>
Opportunity to design systems impacting millions of users across multiple regions.</li><li>
Potential to:<ul><li>
Travel to UK and other countries.</li><li>
Participate in international meetings and strategy discussions.</li></ul></li><li>
Fast-track growth based on performance and ownership.</li></ul><div></div><div> 
Final Positioning:</div><div>
This role is ideal for someone who:</div><ul><li>
Can combine technical understanding with strong coordination skills.</li><li>
Is focused on execution, speed, and delivery.</li><li>
Can design and optimise workflows that produce real business results.</li><li>
Wants to grow into a senior AI delivery or leadership role.</li></ul></div>

AI Project & Coordination Lead

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

Etisalat

<div><div>AI Engineering &amp; Innovation Manager.Customer and Partner Management - (260000V2)</div><div>
Description<div></div> 
Job Purpose
To lead the AI Engineering &amp; Innovation function, with primary focus on AI Development, AI/ML Engineering, Generative AI, and Agentic AI solutions, supported by strong background in platform engineering and full-stack architecture. Responsible for delivering cutting-edge AI solutions, including AI Agents, Agentic Automation, OCR, Chatbots, Conversational AI, Speech-to-Text, Text-to-Speech, Voicebots, and local LLM deployments&mdash;while ensuring solutions are scalable, secure, production-ready, and aligned with enterprise architecture standards. The role drives end-to-end innovation, from lean experimentation and proof-of-concepts to enterprise-scale deployment, ensuring AI solutions are aligned with business strategy, customer experience goals, and market-leading practices.

Report To Position Name
Leadership &amp; Strategy Lead and manage a team of AI Development Engineers, AI/ML Engineers, AI Agent Engineers, and AI Support Engineers. Define AI Engineering and Innovation roadmap aligned with corporate digital transformation strategy. Evaluate emerging AI technologies (LLMs, local LLMs, RAG, AI agents, agent frameworks, vector databases, orchestration layers, and autonomous workflows) and introduce new capabilities. Drive adoption of AI to enhance customer care, CVM, digital channels, enterprise services, and internal efficiency. Establish standards for reusable AI components, agent design, governance, and scalable enterprise AI adoption. AI Development Oversee design and development of AI/ML models, Generative AI applications, reusable AI agents, and agentic workflows for OCR, NLP, Chatbots, Conversational AI, and automation use cases. Guide teams in model training, fine-tuning, prompt engineering, evaluation, deployment, and agent orchestration. Lead deployment and optimization of local / on-prem LLM models, including model serving, inference optimization, GPU utilization, and continuous tuning. Drive integration of speech-to-text, text-to-speech, voicebot, and voice persona capabilities into customer-facing and enterprise applications. Ensure compliance with data governance, model governance, ethical AI use, and responsible AI principles. Design modular, reusable, and scalable AI agents with governance controls and shared services. AI Platforms Engineering Provide architectural oversight leveraging strong platform engineering and full-stack development background(Java, Spring Boot, Node.js, Angular). Ensure robust solution architecture using microservices, containerization, Docker, Kubernetes / OpenShift, Amazon EKS orchestration, APIs, and CI/CD pipelines. Lead production deployment and go-live readiness with full focus on security controls, vulnerability management, secure coding practices, and infrastructure hardening. Integrate AI solutions with enterprise platforms, core systems, vector stores, tool layers, and backend services. Oversee performance, scalability, resilience, and production readiness of AI applications and services. Innovation, Proof-of-Concepts &amp; Productization Lead innovation lifecycle: identify opportunities, run lean experiments, build PoCs, validate impact, and scale successful use cases to production. Collaborate with business units to co-create AI-powered products, agentic workflows, and automation services. Drive rapid experimentation cycles with measurable business impact and customer value. Ensure accelerated time-to-value and time-to-market for AI solutions while maintaining quality and security. Operations &amp; AIOps Ensure operational readiness of deployed AI applications through AIOps, MLOps, and LLMOps monitoring and automation. Oversee incident resolution, model monitoring, change management, and continuous improvement. Maintain SLAs and service reliability for critical AI-enabled business applications. Ensure continuous security patching, vulnerability remediation, and model/runtime lifecycle management.<div> 
</div></div><div>
Qualifications<div></div> 
QUALIFICATIONS_ESSENTIAL
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, AI, or related field 
QUALIFICATIONS_DESIRABLE
Innovation Drive adoption of next-gen AI architectures (Agentic orchestration, vector databases, RAG pipelines). Lead experimentation with new AI platforms and integration models. Skills &amp; Abilities Strong leadership, people management, and cross-functional collaboration. Excellent communication, presentation, and stakeholder engagement skills. Ability to manage multiple parallel projects and deliver under pressure. 

EXPERIENCE_ESSENTIAL
8+ years of experience in AI/ML engineering and software development. At least 3&ndash;5 years in a leadership/managerial role overseeing AI development teams 
EXPERIENCE_DESIRABLE
Strong knowledge of AI/ML technologies (Machine Learning, NLP, Generative AI, Agentic AI, Conversational AI, OCR, autonomous workflows). Proven experience in AI development, reusable agent design, and scalable AI solution engineering. Strong hands-on familiarity with cloud platforms and their AI portfolios, including AWS (Bedrock, SageMaker), Microsoft Azure AI services, and Google Cloud Vertex AI / GenAI services. Solid background in platform engineering, full-stack architecture, microservices, containerization, APIs, and orchestration platforms such as Docker, OpenShift, and EKS. Proven go-live deployment experience with strong focus on security, vulnerability management, and production hardening. Experience in deploying and managing local / on-prem LLM models and inference environments. Familiarity with speech technologies (speech-to-text, text-to-speech, voicebots, voice persona solutions). Deep understanding of cloud, DevOps, MLOps, LLMOps, governance, and observability tools. Strong knowledge of lean experimentation methodologies with impact-driven delivery. Knowledge of telecom, customer care, CVM, sales, and enterprise domains is a plus. 

CERTIFICATIONS_ESSENTIAL
N/A<div> 
</div></div><div>
Job: Manager</div><div>
Organization: Etisalat-Misr</div><div>
Job Posting: 06/May/2026, 6:51:31 AM</div></div>

AI Engineering & Innovation Manager.Customer and Partner Management

<div>
 
 Role Overview
 
 
 
 SYNCOMS is scaling its AI capabilities toward
 
 high-impact, production-ready systems
 
 across multiple business areas and markets.
 
 
 We are looking for a
 
 hands-on AI Team Lead
 
 who will drive
 
 execution, global coordination, workflow design, and delivery
 
 across multiple AI initiatives. This role requires someone who can
 
 combine technical understanding with strong coordination and process thinking
 
 , ensuring fast, structured, and measurable output.
 
 
 You will work directly with the
 
 Head of AI and Company Director
 
 , with a strong emphasis on
 
 daily reporting, accountability, and delivery visibility across all projects
 
 .
 
 
 
 Core Objective
 
 
 
 To ensure
 
 fast, structured, and scalable delivery of AI-driven workflows and systems
 
 , by focusing on:
 
 
 <ul>
 <li>
 Global coordination across teams.
 </li>
 <li>
 Daily execution tracking and reporting.
 </li>
 <li>
 Workflow design and process optimisation.
 </li>
 <li>
 Rapid MVP development and iteration.
 </li>
 <li>
 Efficient use of modern AI/LLM tools.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 Global Coordination (Critical Focus):
 
 
 
 <ul>
 <li>
 Act as the central coordination point across teams in:
 </li>
 <ul>
 <li>
 Dubai
 </li>
 <li>
 UK
 </li>
 <li>
 India
 </li>
 </ul>
 <li>
 Ensure daily alignment on all projects and tasks.
 </li>
 <li>
 Follow up continuously to maintain progress and deadlines.
 </li>
 <li>
 Identify and resolve delays, inefficiencies, and blockers.
 </li>
 <li>
 Maintain clear communication across time zones.
 
 </li>
 </ul>
 
 Daily Reporting &amp; Execution Tracking (Core Requirement)
 
 
 
 <ul>
 <li>
 Provide daily reporting directly to the Company Director, including:
 </li>
 <ul>
 <li>
 Status of each project.
 </li>
 <li>
 Task-level progress.
 </li>
 <li>
 Risks, blockers, and delays.
 </li>
 </ul>
 <li>
 Track:
 </li>
 <ul>
 <li>
 Team output.
 </li>
 <li>
 Delivery timelines.
 </li>
 <li>
 Performance improvements.
 </li>
 </ul>
 <li>
 Ensure full visibility and accountability across all ongoing projects.
 
 </li>
 </ul>
 
 Workflow Design &amp; Process Optimisation
 
 
 
 <ul>
 <li>
 Design and improve AI-driven workflows across marketing and business operations.
 </li>
 <li>
 Continuously optimise processes to improve:
 </li>
 <ul>
 <li>
 Speed.
 </li>
 <li>
 Efficiency.
 </li>
 <li>
 Output quality.
 </li>
 </ul>
 <li>
 Architect workflows that can scale across multiple regions and high user volumes.
 </li>
 <li>
 Focus on practical execution over theoretical design.
 
 </li>
 </ul>
 
 Rapid MVP Development
 
 
 
 <ul>
 <li>
 Design and support MVP (Minimum Viable Product) builds within 1 week timelines.
 </li>
 <li>
 Ensure quick turnaround from concept to working solution.
 </li>
 <li>
 Iterate rapidly based on feedback and performance.
 
 
 </li>
 </ul>
 
 AI Systems &amp; LLM Utilisation
 
 
 
 <ul>
 <li>
 Support implementation and optimisation of:
 </li>
 <ul>
 <li>
 AI/ML systems.
 </li>
 <li>
 LLM-based workflows and tools.
 </li>
 </ul>
 <li>
 Ensure use of the most suitable and up-to-date models for performance and efficiency.
 </li>
 <li>
 Contribute to:
 </li>
 <ul>
 <li>
 Model fine-tuning.
 </li>
 <li>
 RAG-based workflows (basic level).
 </li>
 <li>
 Performance monitoring and improvements.
 
 </li>
 </ul>
 </ul>
 
 Product Readiness &amp; Deployment Support
 
 
 
 <ul>
 <li>
 Assist in moving solutions into production-ready environments
 </li>
 <li>
 Support:
 </li>
 <ul>
 <li>
 API integrations
 </li>
 <li>
 Testing and validation
 </li>
 <li>
 Deployment workflows
 </li>
 </ul>
 <li>
 Ensure solutions are usable, scalable, and business-ready
 
 </li>
 </ul>
 
 Team Supervision
 
 
 
 <ul>
 <li>
 Guide and coordinate junior AI engineers.
 </li>
 <li>
 Assign tasks and ensure timely completion.
 </li>
 <li>
 Maintain:
 </li>
 <ul>
 <li>
 Code quality.
 </li>
 <li>
 Structured workflows.
 </li>
 <li>
 Delivery discipline.
 
 </li>
 </ul>
 </ul>
 
 Experience
 
 
 
 
 Candidate Profile:
 
 
 
 <ul>
 <li>
 2&ndash;5 years in AI/ML, automation, or technical systems.
 </li>
 <li>
 Experience in workflow design, process optimisation, or system delivery.
 </li>
 <li>
 Exposure to team coordination or supervisory responsibilities preferred.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Understanding of:
 </li>
 <ul>
 <li>
 AI/ML frameworks (PyTorch, TensorFlow &ndash; basic to intermediate).
 </li>
 <li>
 LLMs and AI tools (practical usage).
 </li>
 <li>
 APIs and deployment workflows.
 </li>
 </ul>
 <li>
 Familiarity with:
 </li>
 <ul>
 <li>
 Automation tools.
 </li>
 <li>
 Data pipelines and basic MLOps.
 
 </li>
 </ul>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Strong coordination and follow-up ability.
 </li>
 <li>
 Excellent reporting discipline and accountability.
 </li>
 <li>
 Ability to design and optimise workflows and processes.
 </li>
 <li>
 Execution-focused with a fast delivery mindset.
 </li>
 <li>
 Strong communication across global teams.
 
 
 </li>
 </ul>
 
 Performance Expectations (First 6 Months)
 
 
 
 <ul>
 <li>
 Establish daily reporting discipline across all projects.
 </li>
 <li>
 Ensure strong coordination across global teams.
 </li>
 <li>
 Deliver rapid MVPs (within ~1 week cycles where applicable).
 </li>
 <li>
 Improve workflow efficiency and reduce delays.
 </li>
 <li>
 Support multiple AI systems reaching production-ready stage.
 </li>
 <li>
 Enhance execution speed and process structure.
 
 
 </li>
 </ul>
 
 Compensation &amp; Incentives
 
 
 
 <ul>
 <li>
 Competitive salary aligned with AI Team Lead / Supervisor level.
 </li>
 <li>
 Performance-based bonus assessed by the Company Director.
 </li>
 <li>
 Based on:
 </li>
 <ul>
 <li>
 Delivery consistency.
 </li>
 <li>
 Speed of execution.
 </li>
 <li>
 Coordination effectiveness.
 </li>
 <li>
 Output quality.
 
 </li>
 </ul>
 </ul>
 
 Growth &amp; Opportunities
 
 
 
 <ul>
 <li>
 Work with a multinational group (35+ years established).
 </li>
 <li>
 Exposure to large-scale operations (multi-country, high user base).
 </li>
 <li>
 Opportunity to design systems impacting millions of users across multiple regions.
 </li>
 <li>
 Potential to:
 </li>
 <ul>
 <li>
 Travel to UK and other countries.
 </li>
 <li>
 Participate in international meetings and strategy discussions.
 </li>
 </ul>
 <li>
 Fast-track growth based on performance and ownership.
 
 </li>
 </ul>
 
 Final Positioning
 
 
 
 This role is ideal for someone who:
 
 
 <ul>
 <li>
 Can combine technical understanding with strong coordination skills.
 </li>
 <li>
 Is focused on execution, speed, and delivery.
 </li>
 <li>
 Can design and optimise workflows that produce real business results.
 </li>
 <li>
 Wants to grow into a senior AI delivery or leadership role.
 </li>
 </ul>
</div>

Hex Technologies

SF or NYC
 
About the role: 
Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers.
 
What you will do: 
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
 Define and implement the future of the AI Engineering function at Hex as we scale
 Hire and mentor an exceptional team of AI Engineers
 Support an exceptional developer and research experience for teams working with AI technology
 Deliver high-performing shared AI infrastructure, including search systems
 
About You: 
You have 4+ years of people management experience and leading high-performing teams
 You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals.
 You are obsessed with driving business outcomes and delivering value to customers
 You are rigorous but pragmatic, balancing good experimental design with early-stage agility
 You are a strong communicator and love collaborating with other roles and teams to drive outcomes
 You are a talent magnet, with the ability to attract and retain exceptional AI talent
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $246,000 - $329,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Engineering Lead

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