sales executive

account manager

site engineer

business analyst

planning engineer

ai solutions architect

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 
 Position Overview:
 
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Solution Selling:
 </li>
 <ul>
 <li>
 The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
 </li>
 </ul>
 <li>
 Strategic Leadership:
 </li>
 <ul>
 <li>
 Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
 </li>
 <li>
 Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
 </li>
 </ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
 </li>
 <li>
 Provide hands-on technical guidance to AI/ML teams during critical projects.
 </li>
 <li>
 Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
 </li>
 </ul>
 <li>
 Customer Engagement:
 </li>
 <ul>
 <li>
 Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
 </li>
 <li>
 Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
 </li>
 </ul>
 <li>
 Team Collaboration:
 </li>
 <ul>
 <li>
 Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
 </li>
 <li>
 Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
 </li>
 <li>
 Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
 
 
 
 </li>
 </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Essential
 </li>
 <ul>
 <li>
 Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
 </li>
 <li>
 Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
 </li>
 <li>
 Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
 </li>
 <li>
 Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
 </li>
 </ul>
 <li>
 Highly Desirable
 </li>
 <ul>
 <li>
 Snowflake Experience: experience with the Snowflake AI/ML ecosystem
 </li>
 <li>
 Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
 </li>
 <li>
 ML Ops: Experience in ML Ops including feature stores, model registries, observability
 </li>
 <li>
 DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
 
 
 
 </li>
 </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 
 
 <ul>
 <li>
 Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
 </li>
 <li>
 Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
 </li>
 <li>
 Customer-Centric: Deeply invested in understanding and addressing customer needs.
 </li>
 <li>
 Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
 </li>
 <li>
 Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
 </li>
 <li>
 Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
 </li>
 <li>
 Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>

AI Specialist

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>3 years of experience in building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or similar languages.</li>
<li>Experience managing technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.</li>
<li>Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).</li>
<li>Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG) architectures.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier artificial intelligence (AI) products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer&rsquo;s environment. 
 
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud&rsquo;s future product roadmap.It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the connective tissue between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical friction points in Google&rsquo;s AI stack, converting them into reusable modules or product feature requests for the engineering teams.</li>
<li>Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Forward Deployed Engineer I, GenAI, Google Cloud

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><h3 class="jobSectionHeader"> 
What you&rsquo;ll build</h3>
Location: United Arab Emirates
You will design and deliver industry‑specific, AI‑driven solutions that solve high‑value business challenges for SAP&rsquo;s most strategic customers. Your work will directly influence how AI is adopted, scaled, and ultimately productized within SAP&rsquo;s standard AI portfolio.
In this role, you will:<ul><li>
Shape end‑to‑end AI solutions that connect real industry processes with SAP S/4HANA, SAP BTP, and SAP Business AI capabilities.</li><li>
Help customers translate complex industry challenges into clear, actionable AI use cases that deliver measurable business impact.</li><li>
Drive digital transformation by ensuring solutions are technically feasible, scalable, and aligned with long‑term business value.</li><li>
Work closely with customers in discovery sessions to identify priorities, design solutions, and guide adoption in live business processes.</li><li>
Lead agile delivery cycles&mdash;from proof of concept to pilot and production&mdash;turning innovation into outcomes.</li><li>
Act as a bridge between customers and SAP&rsquo;s global Product and Engineering teams, shaping roadmaps through real customer insights.</li><li>
Create reusable accelerators, reference architectures, and best practices that extend impact beyond a single engagement.</li></ul><h3 class="jobSectionHeader">
What you bring</h3>
You combine deep industry understanding with strong AI and SAP knowledge, and you are at ease working directly with customers and partners. You think end‑to‑end, communicate clearly, and thrive in environments where ownership and impact matter.
You bring:<ul><li>
Solid grounding in data and AI/ML concepts, including data modeling, APIs, and common AI patterns such as forecasting, classification, and intelligent assistants.</li><li>
Strong end‑to‑end understanding of industry processes within one or more industries such as Oil &amp; Gas, Public Sector, Manufacturing, Utilities, Retail, or related domains.</li><li>
Knowledge of industry markets, their evolution, and the relevant SAP industry portfolio.</li><li>
Confidence in customer‑facing and partner‑facing interactions, including discovery workshops, demos, and explaining technical trade‑offs in business terms.</li><li>
A strong software engineering foundation (e.g., Python, Java, TypeScript) with hands‑on experience in SAP BTP, integrations, and at least one major SAP domain.</li><li>
Experience designing and prototyping solutions, using modern tools and rapid‑iteration approaches.</li><li>
Comfort operating in a forward‑deployed, high‑ownership role, navigating ambiguity and driving work to completion.</li><li>
Cultural awareness and experience collaborating across geographies and nationalities.</li><li>
Fluency in English; additional languages, especially Arabic, are a plus.</li></ul><h3 class="jobSectionHeader">
Where you belong</h3>
You&rsquo;ll be part of a highly collaborative, global environment where industry expertise, innovation, and customer impactcome together.
Here, you will find:<ul><li>
Close collaboration with customers, partners, and SAP product and engineering teams around the world.</li><li>
A culture that values ownership, curiosity, and practical innovation, where ideas are tested through real customer impact.</li><li>
Teams that respect diverse backgrounds, perspectives, and ways of thinking, and work together across cultures and regions.</li><li>
An inclusive environment where architects are trusted to lead, experiment, and shape the future of AI‑enabled industry solutions.</li><li>
The opportunity to work on meaningful challenges that influence both customer success and SAP&rsquo;s long‑term AI strategy.</li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 454328 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Industry Architect

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
As AI Product Expert for Utilities you will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 

Work directly with Utilities customers to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP. 
<ul><li>
</li></ul>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration. 
<ul><li>
</li></ul>Run agile cycles (PoC pilot production), gather user feedback, and drive adoption in real business processes. 
<ul><li>
</li></ul><ul><li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across the region.</li></ul> 
Core responsibilities / expectations: 
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus. 
<ul><li>
Strong software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).</li></ul> 
<ul><li>
Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li></ul> 
<ul><li>
End to End process knowledge of fundamental Utilities processes such as Meter to Cash or Quote to Cash.</li></ul> 

Knowledge of the utilities market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio 
<ul><li>
</li>
Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language. 
<li>
</li><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Meet your Team: 
You will be part of a growing AI and industry expert team dedicated to serving customers across United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450278 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Product Expert for Utilities

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 As AI Product Expert for Utilities you will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Work directly with Utilities customers to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
 </li>
 <li>
 Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
 </li>
 <li>
 Run agile cycles (PoC &rarr; pilot &rarr; production), gather user feedback, and drive adoption in real business processes.
 </li>
 <li>
 Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across the region.
 
 
 </li>
 </ul>
 
 Core Responsibilities / Expectations
 
 
 
 You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.
 
 
 <ul>
 <li>
 Strong software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).
 </li>
 <li>
 Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).
 </li>
 <li>
 End to End process knowledge of fundamental Utilities processes such as Meter to Cash or Quote to Cash.
 </li>
 <li>
 Knowledge of the utilities market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio
 </li>
 <li>
 Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.
 </li>
 <li>
 Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.
 
 
 </li>
 </ul>
 
 Meet Your Team
 
 
 
 You will be part of a growing AI and industry expert team dedicated to serving customers across United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
 
 
 This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.
 
 
 This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 450278 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

PureCS

<div>
 
 
 About Us:
 
 
 
 
 
 
 Pure Health is the UAE&rsquo;s largest integrated healthcare platform, committed to elevating the nation&rsquo;s health standards through innovation, technology, and operational excellence. PureCS operates as a key technology and procurement arm within the Pure Health ecosystem, driving digital infrastructure, systems optimisation, and strategic sourcing initiatives that support large-scale national projects.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a seasoned Microservices Architect with extensive experience in designing and implementing distributed systems. The ideal candidate will have deep expertise in microservices architecture, API design, containerization, cloud-native solutions. This role requires strong leadership, hands-on technical skills, and the ability to guide teams in building scalable, secure, and resilient applications. The ideal candidate must have hands-on experience with modern AI orchestration frameworks and scalable system design.
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and implement microservices-based architectures for large-scale enterprise applications.
 </li>
 <li>
 Define API standards, communication protocols (REST, gRPC), and service contracts.
 </li>
 <li>
 Lead migration from monolithic systems to microservices, ensuring minimal downtime and data integrity.
 </li>
 <li>
 Architect containerized solutions using Docker and Kubernetes, including Helm for deployment
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks (e.g., CrewAI, Microsoft AutoGen, or Semantic Kernel).
 </li>
 <li>
 Implement observability practices including logging, metrics, and distributed tracing (Prometheus, Grafana, OpenTelemetry).
 </li>
 <li>
 Architect scalable solutions for the efficient handling of memory and context window limits, enabling AI agents to reliably maintain short-term state and long-term memory across stateless distributed environments.
 </li>
 <li>
 Ensure security best practices across services (OAuth2, JWT, API Gateway, rate limiting).
 </li>
 <li>
 Collaborate with product owners, developers, and DevOps teams to align architecture with business goals.
 </li>
 <li>
 Mentor engineering teams on microservices principles, domain-driven design, and event-driven architecture.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 12+ years of experience in software development with at least 5 years in microservices architecture.
 </li>
 <li>
 Strong knowledge of distributed systems, service discovery, and API management.
 </li>
 <li>
 Exposure to MLOps and AI system observability.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and Helm for container orchestration.
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks such as CrewAI, Microsoft AutoGen, or Semantic Kernel.
 </li>
 <li>
 Proficiency in designing RESTful and gRPC APIs, and implementing API gateways
 </li>
 <li>
 Enhance information architecture using Knowledge Graphs (e.g., Neo4j, Amazon Neptune, or GraphDB) to improve semantic data retrieval, enrich RAG pipelines, and ground data for use in complex agentic workflows.
 </li>
 <li>
 Hands-on experience with LLM-based applications and agentic frameworks.
 </li>
 <li>
 Expertise in cloud platforms (AWS, Azure, GCP) and cloud-native patterns.
 </li>
 <li>
 Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ), and data consistency strategies.
 </li>
 <li>
 Strong understanding of security, scalability, and fault-tolerance in distributed systems.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Experience with service mesh technologies (Istio, Linkerd).
 </li>
 <li>
 Familiarity with domain-driven design (DDD) and CQRS patterns.
 </li>
 <li>
 Knowledge of advanced observability and chaos engineering practices.
 </li>
 <li>
 Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Ansible).
 </li>
 </ul>
 
 
</div>

Backend Lead - Microservices Architect

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li><li>
Partially automate processes when full automation is not achievable</li><li>
Help improve efficiency for both operations team and customers</li><li>
Reduce the amount of manual (especially repetitive) work mainly for operations team</li><li>
Predict answers to questions based on an existing historical knowledge base</li><li>
Predict costs based on historical knowledge</li><li>
Chat bot style task automation</li></ul> 

Requirements 
<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul><li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith</li><li>
Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li><li>
Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li><li>
Proven experience designing, training, and deploying ML models in production environments</li><li>
Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li><li>
Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li></ul>
Programming:<ul><li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li><li>
Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li></ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul><li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li><li>
Experience with version control systems (e.g., Git).</li></ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul><li>
Strong analytical thinking to identify and solve operational inefficiencies.</li><li>
Ability to design and implement AI-driven solutions.</li></ul>
Communication:<ul><li>
Ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Strong written and verbal communication skills.</li></ul>
Collaboration:<ul><li>
Experience working in cross-functional teams.</li><li>
Ability to collaborate with other developers, data scientists, and business analysts.</li></ul> 

Benefits 
<ul><li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li><li>
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li><li>
Marcura Wellness Zone: We value your work-life balance and well-being.</li><li>
Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li><li>
Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

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