ai engineering lead

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

Sanabil Studio

<div>
 TradePay, a Sanabil Studio company, is redefining how B2B commerce operates by enabling suppliers and distributors to offer flexible payment terms to business merchants through a seamless Stock-Now-Pay-Later solution.
 
 
 Backed by Sanabil Studio, TradePay combines technology, financing infrastructure, and operational expertise to help businesses unlock working capital, improve cash flow, and scale more efficiently across industries.
 
 
 
 THE ROLE
 
 What you'll own here.
 
 
 <ul>
 <li>
 Lead the development of AI-enabled products across credit decisioning, fraud and risk monitoring, dynamic limit management, and inventory and cashflow intelligence.
 </li>
 <li>
 Translate complex, real-world data into decision tools that improve accuracy, reduce loss rates, and responsibly expand access to finance.
 </li>
 <li>
 Drive a responsible AI approach, including model monitoring, drift detection, explainability, and human-in-the-loop workflows where required.
 </li>
 <li>
 Own the architecture and engineering roadmap from pilot through MVP to scale, ensuring systems are secure, scalable, and maintainable.
 </li>
 <li>
 Build and operate a modern data and ML platform covering ingestion, feature pipelines, training, serving, experimentation, and monitoring.
 </li>
 <li>
 Define AI work streams, milestones, and measurable outcomes; including approval lift, loss reduction, time-to-decision, and merchant growth impact.
 </li>
 <li>
 Establish technical standards across code quality, CI/CD, observability, reliability, and documentation.
 </li>
 <li>
 Make pragmatic build-versus-buy decisions across infrastructure, data providers, scoring components, KYC tooling, and payment rails.
 </li>
 <li>
 Hire, develop, and lead a high-performing engineering and data team in Riyadh.
 </li>
 <li>
 Build strong security and privacy foundations that can withstand audits and support future licensing requirements.
 </li>
 <li>
 Partner closely with Risk, Operations, Finance, Legal/Compliance, and Partnerships teams.
 
 
 </li>
 </ul>
 
 THE PROFILE
 
 You're probably a fit if&hellip;
 
 
 <ul>
 <li>
 You have proven experience shipping AI/ML-powered products into production; not just prototypes.
 </li>
 <li>
 You bring strong software engineering fundamentals alongside hands-on experience in machine learning and data platforms.
 </li>
 <li>
 You have experience in fintech, lending, BNPL, payments, risk, fraud, or underwriting, and understand the importance of correctness in these environments.
 </li>
 <li>
 You have a track record of turning complex datasets into real-world decision tools with measurable business impact.
 </li>
 <li>
 You have hired, mentored, and led teams in fast-paced, ambiguous environments.
 </li>
 <li>
 You take full ownership of outcomes and maintain high standards for reliability, security, and scalable architecture.
 </li>
 <li>
 You communicate clearly with engineers, executives, and cross-functional stakeholders.
 </li>
 <li>
 You are based in Riyadh or open to relocation; this is an on-site leadership role.
 </li>
 <li>
 Bonus: Experience with credit bureaus, alternative data, open banking signals, cloud-native architectures at scale, regulated environments, or GCC fintech products.
 
 
 </li>
 </ul>
 
 THE ENVIRONMENT
 
 : What working here actually looks like.
 
 
 <ul>
 <li>
 Builder Role, Real Scope: You won&rsquo;t be maintaining an existing system; you&rsquo;ll define the architecture, build the team, and own outcomes from day one.
 </li>
 <li>
 AI at the Core: AI is central to how TradePay operates, from underwriting to risk monitoring and merchant intelligence, and you will lead that effort.
 </li>
 <li>
 Close to the Top: You will work directly with the CEO and leadership team in Riyadh, with fast feedback loops and real influence on company direction.
 
 
 </li>
 </ul>
 
 What You Get From Us
 
 
 
 <ul>
 <li>
 Competitive pay: A package that reflects your seniority and the market.
 </li>
 <li>
 Meaningful equity: Real upside tied to the long-term value you help create.
 </li>
 <li>
 Premium gear, day one: Fully set up and ready before your first day.
 </li>
 <li>
 Mentorship that matters: Learn from people who have built and scaled ventures.
 </li>
 <li>
 An accelerated curve: You&rsquo;ll learn more here in 12 months than most roles offer in three years.
 </li>
 </ul>
</div>

Co-Founder & Chief Technology Officer

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

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Globant

<div>
 
 Tech Director (Head of Engineering)
 
 
 Globant &mdash; Riyadh, KSA
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia (on-site). Alternative locations: Jordan, Lebanon, UAE, Egypt &mdash; with regular travel to Riyadh required.
 
 
 
 Reports to:
 
 VP of Technology
 
 
 
 Direct scope:
 
 50+ engineers across back end and front end disciplines
 
 
 
 Role type:
 
 New role | Permanent | Leadership/Strategy
 
 
 
 About The Role
 
 
 
 This is a senior engineering leadership position responsible for the strategic direction, delivery performance, and technical maturity of Globant's software engineering function in the MENA region. The Head of Engineering will own the engineering roadmap, drive AI adoption, establish engineering culture and standards, and lead a growing organisation of 50+ engineers across back end and front end teams.
 
 
 
 Key Priorities
 
 
 
 <ul>
 <li>
 Improve delivery velocity &mdash; Identify and remove bottlenecks across the engineering lifecycle. Establish metrics, streamline release processes, and improve predictability of delivery across teams.
 </li>
 <li>
 Drive AI adoption across engineering &mdash; Define and execute a strategy for embedding AI into engineering workflows, tooling, and product development. Champion the use of AI-assisted development, testing, and operations to accelerate output and quality.
 </li>
 <li>
 Build engineering culture and processes &mdash; Establish engineering standards, governance, and ways of working. Improve tooling, development processes, and code standards across teams. Create a culture of ownership, technical excellence, and continuous improvement. Introduce career frameworks, knowledge sharing, and communities of practice.
 </li>
 <li>
 Tackle technical debt and platform modernisation &mdash; Assess the current estate, prioritise remediation, and lead modernisation efforts aligned with long-term architectural goals. Balance delivery demands with sustainable engineering practices.
 </li>
 <li>
 Scale the engineering organisation &mdash; Partner with talent acquisition to grow the team in line with business demand. Build a hiring strategy across Riyadh and alternative locations (Jordan, Lebanon, UAE, Egypt), ensuring quality and cultural alignment.
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Set the technical vision and engineering strategy aligned with business objectives
 </li>
 <li>
 Lead and develop engineering managers, SMEs, and senior engineers across all disciplines
 </li>
 <li>
 Own engineering delivery performance, reporting, and continuous improvement
 </li>
 <li>
 Collaborate closely with architecture, cybersecurity, product, delivery, design, QA, data, and DevSecOps/platform disciplines to ensure alignment and cohesive outcomes across the engineering organisation
 </li>
 <li>
 Represent engineering in senior leadership forums and client engagements
 </li>
 <li>
 Manage stakeholder relationships across the organisation and with external partners
 </li>
 <li>
 Champion modern engineering practices including DevSecOps, CI/CD, observability, and automation
 </li>
 <li>
 Ensure compliance with security, governance, and regulatory requirements
 
 
 
 </li>
 </ul>
 
 Technical Landscape
 
 
 
 The role provides strategic oversight across the following technology stack. Hands-on coding is not expected, but a strong understanding of the technologies in use and the ability to engage credibly with technical teams is required.
 
 
 
 Back End:
 
 NodeJS, Adobe Experience Manager, Apigee, RESTful APIs, microservices architecture, event-driven architecture, SQL and NoSQL databases, OAuth/JWT, message queuing and async processing.
 
 
 
 Front End:
 
 Flutter, Svelte, HTML5/CSS3/JavaScript/TypeScript, Android and iOS native development, component-based architecture, micro frontend patterns, progressive web applications, accessibility (WCAG), state management.
 
 
 
 AI &amp; Emerging Tech:
 
 AI-assisted development tooling, Agentic AI, LLMOps, AI integration into engineering workflows, evaluation of emerging AI/ML technologies for engineering productivity.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Significant experience leading engineering organisations of 50+ in a Tech/SaaS environment
 </li>
 <li>
 Proven track record of improving delivery velocity and engineering maturity at scale
 </li>
 <li>
 Experience introducing AI tooling and practices into engineering teams
 </li>
 <li>
 Strong understanding of back end and front end technologies &mdash; able to engage credibly with engineering teams and contribute to technical discussions
 </li>
 <li>
 Demonstrated ability to work effectively across disciplines including architecture, cybersecurity, product, delivery, design, and QA
 </li>
 <li>
 Experience building engineering teams across multiple geographies, ideally in the MENA region
 </li>
 <li>
 Strong stakeholder management and communication skills with senior/executive audiences
 </li>
 <li>
 Experience with engineering governance, standards, and platform modernisation
 </li>
 <li>
 Track record of building engineering culture, career frameworks, and communities of practice
 
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Experience in a consulting or digital services environment
 </li>
 <li>
 Experience working with Saudi Arabia's digital transformation landscape (e.g. Vision 2030 aligned programmes)
 
 </li>
 </ul>
</div>

Tech Director

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10000 ai engineering lead jobs Near Me

AI Engineering Lead

Co-Founder & Chief Technology Officer

AI Engineering & Innovation Manager.Customer and Partner Management

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AI Architect - Riyadh,KSA

AI Solution Architect

Tech Director