ai lead

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions &mdash; collaborating across Design, Engineering, and Data to build features our customers love.
We&rsquo;re looking for an Applied AI Lead who knows how to take responsibility over the roadmap of their product, including day-to-day operations, project execution, and addressing risks. From conception to launch and beyond, you&rsquo;ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.
Up to shape what's next in finance? Let's get in touch.
What you'll be doing<ul><li>
Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies</li><li>
Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions</li><li>
Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms</li><li>
Setting your team's goals, success metrics, and roadmap to align with company goals</li><li>
Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment</li></ul>
What you'll need<ul><li>
Experience developing and launching AI products/features from scratch</li><li>
High analytical and technical acumen, along with solid business sense and problem-solving skills</li><li>
Experience in a data science or machine learning role</li><li>
Experience owning machine learning projects, from design to implementation and iteration</li><li>
Great Python, SQL, or other programming language skills</li><li>
Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)</li><li>
Knowledge of version control, model deployment, and developer environments</li><li>
Evidence of impressive mathematical and statistical knowledge</li><li>
An entrepreneurial drive to never settle</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Applied AI Lead

Skillzone Institute LLC

Job Title: Lead AI &amp; Automation Engineer (Corporate Trainer)Location: Dubai, UAE (Mainland / On-site)Reporting to: Managing Director / CEO1. Core MissionTo develop and deliver industry-leading training programs that go beyond theory. You will teach students and corporate clients how to &quot;AI-fy&quot; every aspect of their business&mdash;from coding and data analysis to automated customer journeys&mdash;ensuring they save at least 40% of their operational time through technology.2. Technical Knowledge &amp; &quot;Must-Know&quot; ProgrammingThe candidate must be proficient in the following languages and frameworks to lead your &quot;Technical Skills&quot; permit category:<ul><li>Primary Language: Python (Expert level). Must be able to teach libraries like Pandas, NumPy, Scikit-learn, and PyTorch for data automation.</li><li>Web &amp; Automation: JavaScript/TypeScript. Essential for teaching web scraping and building custom automation scripts.</li><li>Database: SQL. To teach how AI interacts with large-scale business databases.</li><li>Low-Code/No-Code: Expert mastery of Zapier, Make.com, and Interakt/WhatsApp API (crucial for your current institute operations).</li></ul>3. &quot;AI in Everything&quot; Usage RequirementsWe are looking for a trainer who uses AI as their &quot;co-pilot&quot; in every task. They must be able to teach:<ul><li>AI for Coding: Using GitHub Copilot or Cursor to refactor and debug code 5x faster.</li><li>AI for Operations: Automating lead follow-ups, invoice generation (QuickBooks/Odoo integration), and CRM updates.</li><li>AI for Content: Advanced Prompt Engineering for high-quality marketing assets and video beat-syncing.</li><li>AI for Analytics: Using LLMs to analyze financial reports and predict business trends.</li></ul>4. Key Responsibilities<ul><li>Syllabus Engineering: Create a 12-week &quot;AI Business Transformation&quot; course for KHDA approval.</li><li>Practical Labs: Set up a &quot;Digital Automation Lab&quot; where students build live bots during class.</li><li>Corporate Consulting: Assist the MD in selling customized AI workshops to Dubai-based SMEs.</li><li>Compliance: Ensure all curriculum aligns with the Dubai Economic Agenda (D33) and the UAE AI Strategy 2031.</li></ul>5. Candidate Requirements (The &quot;KHDA Filter&quot;)<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science or Software Engineering (Must be MOFA Attested).</li><li>Teaching Portfolio: Proven track record of training groups of 20+ professionals.</li><li>UAE Context: Familiarity with the Dubai regulatory landscape and local business culture.</li><li>The &quot;Demo&quot; Challenge: Candidates will be required to build a working automation bot in 30 minutes during the final interview.</li></ul>Job Types: Full-time, Part-time, Contract, Permanent, Temporary Contract length: 12 monthsPay: AED2,500.00 - AED5,500.00 per monthExpected hours: 48 per weekApplication Question(s):<ul><li>Salary Expectation?</li><li>How Soon Can You Join?</li></ul>Work Location: In person

AI lead & automation Trainer

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

Garan, Incorporated

<div>
 
 
 Overview
 
 
 
 We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets.
 
 
 The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives.
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks)
 </li>
 <li>
 Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability
 </li>
 <li>
 Ingest, transform, and integrate data from multiple structured and unstructured sources
 </li>
 <li>
 Optimize data workflows for performance, scalability, and cost efficiency
 </li>
 <li>
 Build and maintain Lakehouse and Data Warehouse solutions within Fabric
 </li>
 <li>
 Ensure data reliability through monitoring, logging, and error-handling mechanisms
 </li>
 <li>
 Collaborate with stakeholders to translate business requirements into scalable data solutions
 </li>
 <li>
 Enforce data governance, security, and compliance best practices
 </li>
 <li>
 Document data models, pipelines, and system architecture
 </li>
 <li>
 Contribute to roadmap planning and platform evolution
 
 </li>
 </ul>
 
 
 Database &amp; Power BI Oversight
 
 
 <ul>
 <li>
 Design enterprise-grade data models optimized for Power BI and analytics workloads
 </li>
 <li>
 Oversee creation and management of semantic models and datasets within Fabric
 </li>
 <li>
 Oversee dataset performance, refresh strategies, and capacity management in Power BI
 </li>
 <li>
 Implement data modeling best practices (star schema, normalization where appropriate)
 </li>
 <li>
 Support development of dashboards and reports by providing curated, high-quality datasets
 </li>
 <li>
 Manage access control, row-level security (RLS), and data lineage visibility
 </li>
 <li>
 Manage Power BI capacity, dataset refresh strategies, and scalability considerations
 </li>
 <li>
 Collaborate with BI developers to optimize DAX performance and reporting efficiency
 </li>
 <li>
 Monitor usage and adoption metrics to improve data accessibility and usability
 
 </li>
 </ul>
 
 
 AI Readiness &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem
 </li>
 <li>
 Enable feature engineering by delivering clean, enriched, and well-governed datasets
 </li>
 <li>
 Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences
 </li>
 <li>
 Implement data pipelines that support real-time or near real-time analytics where needed.
 </li>
 <li>
 Ensure datasets are scalable and aligned with AI model training requirements.
 </li>
 <li>
 Promote best practices for data versioning, reproducibility, and experimentation.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
 </li>
 <li>
 7+ years of experience in data engineering or related roles.
 </li>
 <li>
 Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI).
 </li>
 <li>
 Strong expertise in Medallion architecture and modern data lake/lakehouse patterns.
 </li>
 <li>
 Proven experience building and maintaining data pipelines (ETL/ELT).
 </li>
 <li>
 Proficiency in SQL, Python, and/or Spark.
 </li>
 <li>
 Experience with Lakehouse architectures and distributed data processing.
 </li>
 <li>
 Strong understanding of data modeling and data warehousing concepts.
 
 </li>
 </ul>
 
 
 Desired Skills &amp; Competencies
 
 
 <ul>
 <li>
 Experience with OneLake, Delta Lake, and Fabric-native workloads.
 </li>
 <li>
 Experience with Data Agents, Copilot Studio and Microsoft Foundry
 </li>
 <li>
 Familiarity with CI/CD pipelines for data solutions.
 </li>
 <li>
 Power BI adoption and user satisfaction across business units.
 </li>
 <li>
 Delivery of AI-ready datasets and agentic AI pilot outcomes
 </li>
 <li>
 Security compliance and incident prevention
 
 </li>
 </ul>
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Attention to detail and data quality focus
 </li>
 <li>
 Ability to work cross-functionally with technical and business teams
 </li>
 <li>
 Excellent communication and documentation skills
 </li>
 <li>
 Continuous learning mindset in evolving data and AI technologies
 
 </li>
 </ul>
 
 
 Performance Metrics
 
 
 <ul>
 <li>
 Data integrity and availability across all departments
 </li>
 <li>
 System uptime and query performance
 </li>
 <li>
 Power BI adoption and user satisfaction across business units
 </li>
 <li>
 Reduction in time-to-action based on data insights
 </li>
 <li>
 Successful onboarding and reliability of third-party integrations
 </li>
 <li>
 Delivery of AI-ready datasets and agentic AI pilot outcomes
 </li>
 <li>
 Security compliance and incident prevention
 </li>
 <li>
 Adoption of best practices as informed by industry trends
 
 </li>
 </ul>
 
 This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration&mdash;while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence.
 
 
 
 
 Salary
 
 : $150,000
 
 
</div>

Data Engineer and Agentic AI Lead

Merck

<div>Job Description
Associate Director, AI Innovation Consultant
The Opportunity
Based in Rahway, New Jersey join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organization driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with a passion for using AI to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
Role Overview:
As an AI Innovation Consultant, you will serve as a Frontline Facilitator within the AI Innovation Studio, partnering closely with the AI Innovation Studio leads to deliver high-quality discovery and early-stage AI innovation engagements. In this role, you will help translate ambiguous business challenges into clearly defined, AI-ready opportunity statements that inform Opportunity Assessments and downstream PoC planning.
This role is highly client-facing and discovery-oriented. You will contribute directly to workshop design and delivery, stakeholder interviews, journey mapping, and user research, producing structured outputs that enable alignment between business, AI, and delivery teams. While you will most often operate in partnership with Studio leads, you will also take ownership of specific discovery sessions, workstreams, or lower-complexity engagements as appropriate.
What will you do in this role:
Partner on Discovery &amp; Client Engagements<ul><li>
Partner closely with AI Innovation Studio leads to execute the Discovery Methodology across multiple business engagements.</li><li>
Co-design and facilitate discovery workshops using techniques such as Design Thinking, journey mapping, process mapping, and structured ideation.</li><li>
Conduct and support stakeholder interviews to surface pain points, constraints, decision drivers, and success criteria across business and IT audiences.</li></ul>
Translate Business Problems into AI-Ready Inputs<ul><li>
Collaborate with Studio leads to synthesize insights from stakeholder interviews, journey mapping, and user research into clear problem statements, use cases, and desired outcomes.</li><li>
Document current-state workflows, user needs, pain points, and non-functional considerations required for Opportunity Assessment.</li><li>
Produce clear, well-structured artifacts that translate business ambiguity into actionable inputs for AI and delivery teams.</li></ul>
Support Technically Grounded Opportunity Shaping<ul><li>
Apply a strong understanding of AI, automation, data platforms, and cloud technologies to help scope feasible and value-oriented solution approaches.</li><li>
Engage architects, data scientists, and engineers with informed questions to validate assumptions and surface technical or data constraints.</li><li>
Help ensure proposed AI opportunities are grounded in technical reality prior to handoff to delivery teams.</li></ul>
Contribute to PoC Planning &amp; Handoff<ul><li>
Own the end-to-end value case for each assessed AI opportunity from initial data discovery and ideation through building ROI models and business cases providing the quantitative rigor needed to validate, prioritize, and advance initiatives into PoC.</li><li>
Support early PoC planning by clarifying scope boundaries, assumptions, success metrics, and stakeholder expectations.</li><li>
Ensure discovery outputs are complete, coherent, and decision-ready, reducing friction during transition to delivery teams.</li><li>
Participate in alignment discussions to maintain continuity from discovery through execution.</li></ul>
Support Stakeholder Alignment &amp; Engagement<ul><li>
Build strong working relationships with business and IT stakeholders through clear communication, reliability, and follow-through.</li><li>
Support stakeholder working sessions and alignment forums, adapting to varying stakeholder styles and priorities.</li><li>
Contribute to positive client experiences by maintaining momentum, clarity, and trust throughout engagements.</li></ul> 
What Should you have:
Experience<ul><li>
7+ years of experience in consulting, business analysis, product discovery, or innovation-focused roles.</li><li>
Experience supporting technology-enabled initiatives, with exposure to AI, automation, or data platforms preferred.</li><li>
Comfort operating in team-based, client-facing environments with shared accountability.</li></ul>
Core Skills<ul><li>
Workshop design and facilitation, including experience co-designing and delivering structured discovery sessions.</li><li>
Problem translation, with the ability to clearly document business challenges and desired outcomes.</li><li>
Strong analytical thinking and comfort decomposing complex processes and workflows.</li></ul>
Technical Skills<ul><li>
Solid understanding of technology value propositions, including AI/GenAI, data platforms, cloud services, and automation.</li><li>
Ability to engage technical partners constructively and challenge assumptions when appropriate.</li><li>
Familiarity with Agile and iterative delivery approaches.</li></ul>
Soft Skills<ul><li>
Highly collaborative and adaptable, with comfort partnering across multiple AI Innovation Studio leads.</li><li>
Strong communication skills and high emotional intelligence.</li><li>
Organized, dependable, and effective in ambiguous, fast-moving environments.</li></ul>
Education:<ul><li>
B.S. Degree</li></ul>
Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.
What we look for:
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us&mdash;and start making your impact today.
Required Skills:
Client Counseling, Emerging Technologies, Operational Acceptance Testing (OAT), Product Management, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Technical Advice, User Experience (UX) Design, Waterfall Model
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
The salary range for this role is
$142,400.00 - $224,100.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
25%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
04/24/2026<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R392923</div>

Assoc. Dir , AI Lead Innovation Consultant

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

PepsiCo

<div>Overview:
<div>
As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks.</div>
Responsibilities:
<div>
AI Development (40%)</div><ul><li>
Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions.</li><li>
Writing and optimizing code for high-performance AI models.</li><li>
Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities.</li></ul><div>
Collaboration with Teams (20%)</div><ul><li>
Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.</li><li>
Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability.</li></ul><div>
Integration &amp; Deployment (20%)</div><ul><li>
Lead AI projects, demonstrating hands-on experience in code development and software engineering.</li><li>
Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance.</li></ul><div>
Continuous Learning (20%)</div><ul><li>
Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.</li><li>
Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.</li></ul><div>
Compensation and Benefits:</div><ul><li>
The expected compensation range for this position is between $110,700 - $185,250. 
</li><li>
Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. 
</li><li>
Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually. 
</li><li>
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. 
</li><li>
In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.</li></ul>
Qualifications:
<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or a related field.</li><li>
8-12 years of total experience.</li><li>
Experience: Proven experience in leading AI projects with hands-on experience in code development and engineering.</li><li>
Required Expertise:Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud).</li><li>
Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies.</li><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Ability to work collaboratively in a cross-functional team environment. 
</li></ul>
&gt;:
<div>
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. 
 
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 
 
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age 
 
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law &amp; EEO is the Law Supplement documents. View PepsiCo EEO Policy. 
 
Please view our Pay Transparency Statement.</div></div>

AI Solutions Lead - Agentic AI

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