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RITS

LLM &amp; Multi-Agent Solutions EngineerRole Summary: Build intelligent AI solutions using Large Language Models (LLMs) and multi-agent frameworks for automation, reasoning, and advanced workflows.Key Responsibilities:<ul><li>Develop LLM-powered applications using GPT, Llama, Claude, or similar.</li><li>Build multi-agent systems using LangChain, AutoGen, or custom frameworks.</li><li>Integrate LLMs with external tools, APIs, and enterprise systems.</li><li>Optimize prompts, fine-tune models, and manage vector databases.</li><li>Ensure security, compliance, and performance of AI pipelines.</li></ul>Requirements:<ul><li>Strong experience in generative AI, LLMs, and prompt engineering.</li><li>Familiarity with LangChain, LlamaIndex, AutoGen, or similar frameworks.</li><li>Proficiency in Python, REST APIs, and cloud AI services (Azure OpenAI, AWS Bedrock, etc.).</li><li>Understanding of embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG.</li><li>Experience with MLOps or AI orchestration tools is a plus.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Are you familiar with LangChain, LlamaIndex, AutoGen, or similar frameworks. ?</li><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>LLM &amp; Multi-Agent Solutions Engineer: 3 years (Preferred)</li><li>generative AI, LLMs, and prompt engineering: 2 years (Preferred)</li><li>Python, REST APIs, and cloud AI services: 2 years (Preferred)</li></ul>

LLM & Multi-Agent Solutions Engineer

COZMALABS

We are seeking an experienced Data Engineer to join our team on a full-time basis. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, with a particular focus on enabling AI-driven solutions. This role involves close collaboration with software and AI engineering teams to ensure seamless, reliable data flows and robust cloud-based data integration within Microsoft Azure.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI initiatives.</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in Azure cloud environments.</li><li>Collaborate with AI engineers to prepare, structure, and deliver high-quality datasets for machine learning models.</li><li>Ensure data pipelines meet security, reliability, and performance standards.</li><li>Monitor, troubleshoot, and improve pipeline performance to guarantee timely and accurate data delivery.</li><li>Implement data governance practices and ensure compliance with data security policies.</li></ul>Required Qualifications<ul><li>Proven experience as a Data Engineer, particularly in building and maintaining complex pipelines for AI or machine learning projects.</li><li>Strong proficiency in SQL and hands-on experience with relational databases (PostgreSQL, SQL Server) and NoSQL systems (e.g., MongoDB).</li><li>Expertise in Azure-based data solutions such as Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Experience with data integration and orchestration tools (e.g., Apache Airflow).</li><li>Proficiency in at least one programming language for data workflows (e.g., Python).</li><li>Solid understanding of data warehousing concepts and best practices.</li><li>Strong analytical and problem-solving abilities.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Proficiency in English, both written and spoken.</li></ul>Desirable Qualifications<ul><li>Familiarity with machine learning concepts and data preprocessing techniques.</li><li>Knowledge of containerization technologies such as Docker and Kubernetes for deploying data pipelines.</li></ul>Job Type: Full-time

Data Engineer.

Edison Smart®

<div>
 
 
 AI Architect &ndash; Doha - Up to 30,000 QAR
 
 
 
 The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Architecture &amp; Solution Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
 </li>
 <li>
 Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
 </li>
 <li>
 Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
 </li>
 </ul>
 
 
 Enterprise Integration &amp; Data Engineering
 
 
 <ul>
 <li>
 Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
 </li>
 <li>
 Connect structured and unstructured data sources using APIs, middleware, and automation tools.
 </li>
 <li>
 Build and optimise data pipelines to support model training, inference, and continuous improvement.
 </li>
 </ul>
 
 
 AI Governance, Security &amp; Risk
 
 
 <ul>
 <li>
 Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
 </li>
 <li>
 Monitor and manage risks related to model bias, transparency, explainability, and trust.
 </li>
 <li>
 Apply robust security and governance standards across all AI deployments.
 </li>
 </ul>
 
 
 Applied AI Implementation
 
 
 <ul>
 <li>
 Deploy and customise AI models for real-world use cases across different business functions.
 </li>
 <li>
 Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
 </li>
 <li>
 Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
 </li>
 </ul>
 
 
 Stakeholder Collaboration &amp; Advisory
 
 
 <ul>
 <li>
 Work closely with technical and business teams to identify opportunities for applied AI adoption.
 </li>
 <li>
 Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
 </li>
 <li>
 Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
 </li>
 </ul>
 
 
 Performance Engineering &amp; Scalability
 
 
 <ul>
 <li>
 Optimise AI architectures for speed, performance, and reliability.
 </li>
 <li>
 Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
 </li>
 <li>
 Assess ROI and operational impact of AI deployments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 in solution architecture, with
 
 4+ years
 
 focused on applied AI/ML projects.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
 </li>
 <li>
 Azure AI Foundry, Google Cloud AI/ML credentials.
 </li>
 <li>
 Software engineering or solution architecture certifications.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong expertise in AI solution development and applied AI delivery.
 </li>
 <li>
 Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
 </li>
 <li>
 Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
 </li>
 <li>
 Strong understanding of SDLC, requirements gathering, and technical design.
 </li>
 <li>
 Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
 </li>
 <li>
 Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
 </li>
 <li>
 Knowledge of advanced RAG techniques for enterprise knowledge management.
 </li>
 <li>
 Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, high-performing AI systems.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
</div>

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

hiringplug™

<div>
 
 Job Title:
 
 Senior Data &amp; AI Consultant
 
 
 (Senior Manager / Manager)
 
 
 
 
 
 
 
 
 About the Company &amp; the Role
 
 
 
 
 
 
 
 Our client is a leading
 
 Global Business Consulting firm
 
 with presence in many countries and domains. We are seeking a
 
 Senior Data &amp; AI Consultant
 
 (Manager/Sr. Manager Level) with 8&ndash;12 years ideally with
 
 Big 4 or top-tier consulting experience
 
 , with deep experience in
 
 Data Governance, Data Engineering, and AI/ML Engineering
 
 , with
 
 Microsoft Azure as a mandatory skillset
 
 .
 
 
 
 
 
 This is a
 
 client-facing consulting role
 
 requiring strong technical expertise, strategic advisory capabilities, and leadership presence. You will lead enterprise-level Data &amp; AI transformation programs across GCC markets.
 
 
 
 
 
 Location: The role is based in
 
 Doha, Qatar
 
 with travel across GCC (UAE, KSA) as required.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop enterprise-wide
 
 Data &amp; AI strategies
 
 aligned with business priorities.
 </li>
 <li>
 Assess organizational maturity and design end-to-end transformation roadmaps.
 </li>
 <li>
 Advise on data lifecycle management and
 
 Responsible AI
 
 frameworks.
 </li>
 <li>
 Conduct CXO-level workshops and stakeholder alignment sessions.
 </li>
 </ul>
 
 
 2. Data Architecture &amp; Engineering (Azure-Focused)
 
 
 <ul>
 <li>
 Architect modern data platforms on
 
 Microsoft Azure
 
 with scalability, security, and compliance.
 </li>
 <li>
 Design conceptual/logical/physical data models for operational and analytical workloads.
 </li>
 <li>
 Build batch and real-time data pipelines using
 
 Azure Data Factory, Synapse, Databricks
 
 , etc.
 </li>
 <li>
 Implement governance frameworks including
 
 data quality, metadata, lineage
 
 (Azure Purview).
 </li>
 <li>
 Collaborate with AI teams to ensure robust data readiness for ML workloads.
 </li>
 </ul>
 
 
 3. AI, Machine Learning &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead full lifecycle AI/ML solution design and deployment.
 </li>
 <li>
 Build and operationalize ML &amp; Generative AI use cases using Azure ML, OpenAI, Cognitive Services.
 </li>
 <li>
 Implement
 
 MLOps
 
 for CI/CD, monitoring, and model lifecycle governance.
 </li>
 <li>
 Embed Responsible AI principles &mdash; fairness, explainability, transparency.
 </li>
 <li>
 Build end-to-end data-to-model pipelines in collaboration with engineering teams.
 </li>
 </ul>
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales engagements.
 </li>
 <li>
 Support proposals, solution demos, and value-based use case design.
 </li>
 <li>
 Contribute to thought leadership via whitepapers, blogs, and speaking engagements.
 </li>
 <li>
 Mentor junior team members and cultivate a culture of excellence.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, AI, Information Systems, or related fields.
 </li>
 <li>
 
 8&ndash;12 years
 
 in Data &amp; AI consulting, architecture, or strategy roles ideally with
 
 Big 4 or top-tier consulting
 
 experience.
 </li>
 <li>
 Strong working knowledge of
 
 Azure ecosystem
 
 (mandatory); familiarity with AWS/GCP is a plus.
 </li>
 <li>
 Experience across industries: Public Sector, FS, Oil &amp; Gas, Government, Healthcare, Utilities.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake/Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 SQL, Python, Spark.
 </li>
 <li>
 Data modeling (conceptual/logical/physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with Microsoft Fabric and open-source tools (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of
 
 DAMA-DMBOK, CMMI-DMM
 
 or similar frameworks.
 </li>
 <li>
 Experience with Informatica Governance Suite (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy, data sovereignty, and GCC regulatory expectations.
 </li>
 <li>
 Ability to define governance operating models and stewardship frameworks.
 </li>
 </ul>
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 (LLMs, RAG, prompt engineering).
 </li>
 <li>
 Strong knowledge of
 
 MLOps
 
 and automated model lifecycle management.
 </li>
 <li>
 Experience in 3+ domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Exceptional client-facing communication and stakeholder management.
 </li>
 <li>
 Ability to translate complex technical concepts into business value.
 </li>
 <li>
 Experience in pre-sales, proposals, and workshops.
 </li>
 <li>
 Strong leadership, mentoring, and delivery management capabilities.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft Certified
 </li>
 <li>
 Azure Data Engineer Associate
 </li>
 <li>
 Azure AI Engineer Associate
 </li>
 <li>
 Azure Solutions Architect
 </li>
 <li>
 DAMA CDMP or equivalent certification
 </li>
 </ul>
 
 
</div>

Senior Data Consultant

<div>
 
 Job Reference #
 
 
 327972BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
 
 
 At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.
 
 
 As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.
 
 
 We&rsquo;re looking for an AI Business Engineer to:
 
 
 <ul>
 <li>
 work with the crew to AI solution design and development to address business challenges.
 </li>
 <li>
 collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.
 </li>
 <li>
 transform data into valuable insights that inform business decisions, making use of our internal.
 
 
 </li>
 </ul>
 data platforms and applying appropriate analytical techniques.
 
 
 <ul>
 <li>
 partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.
 
 
 </li>
 </ul>
 manual processes, and solve challenging business problems.
 
 
 <ul>
 <li>
 ensure the quality, security, reliability, and compliance of our solutions by applying our digital.
 
 
 </li>
 </ul>
 principles and implementing both functional and non-functional requirements.
 
 
 <ul>
 <li>
 understand, represent, and advocate for client needs.
 
 
 </li>
 </ul>
 
 Your team
 
 
 In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 working in agile environments with understanding of agile delivery frameworks and DevOps environments.
 </li>
 <li>
 background in data science, machine learning engineering, or applied research is a significant plus.
 </li>
 <li>
 understanding and ability to apply AI engineering techniques.
 </li>
 <li>
 ability to break down complex problems, analyze data, and develop innovative solutions.
 </li>
 <li>
 flexibility to learn new technologies, frameworks, and methodologies as the field evolves.
 </li>
 <li>
 strong communicator, from making presentations to technical writing.
 </li>
 <li>
 willingness to experiment and think outside the box to push boundaries in AI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

AI Business Engineer

Codvo.ai

<div><div><div>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
Job Description:
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry. 
Key Responsibilities
Program &amp; Project Delivery
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.
Digital &amp; Data Transformation
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.
Stakeholder Engagement
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.
o Communicate complex technology initiatives in business terms for executive stakeholders.
o Manage organizational change to ensure adoption across technical and non-technical teams.
Governance &amp; Compliance
o Ensure projects align with industry regulations, HSE standards, and data security requirements.
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.
Value Realization
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).
o Monitor ROI and continuously refine project portfolios based on impact. 
Required Skills &amp; Experience<ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul> 
Preferred Skills<ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div>

Project Manager (Data & AI, Oil & Gas) (Doha)

SentinelOne

<div><div><h3 class="jobSectionHeader">About Us</h3>

At SentinelOne, we're redefining cybersecurity by pushing the limits of what's possible&mdash;leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats.

From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We're looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you're excited about solving complex challenges in bold, innovative ways, we'd love to connect with you.</div><div>
<h3 class="jobSectionHeader">
What are we looking for?</h3>
<div>
We are seeking a highly experienced, deeply skilled Staff Solutions Engineer with a strong foundation in cybersecurity architecture and hands-on technical leadership. In this role, you will serve as the strategic technical expert within the field, partnering closely with sales, customers, and ecosystem stakeholders to drive meaningful outcomes.

You will act as a trusted advisor to enterprise and government clients&mdash;shaping their security strategy, understanding complex environments, and guiding them toward a unified, AI-powered defense with the SentinelOne Singularity Platform. You will lead advanced demonstrations, deliver compelling technical narratives, design scalable solutions, and influence both pre-sales strategy and long-term customer success.

If you thrive at the intersection of deep technical expertise, customer engagement, and business impact, this role is built for you.
</div>
<h3 class="jobSectionHeader">What will you do?</h3>
<ul><li>Partner strategically with the sales organization to qualify and shape opportunities by deeply understanding customer environments, challenges, and business drivers.</li>
<li>Lead high-impact technical engagements&mdash;including deep-dive discussions, advanced product demonstrations, PoVs/PoCs, and architectural reviews&mdash;to showcase the full capabilities of the SentinelOne Singularity Platform.</li>
<li>Serve as a senior subject-matter expert across EDR/XDR, AI Security, Cloud Security, Identity Security, Observability, and SIEM, articulating complex concepts with clarity and translating them into meaningful business and security outcomes.</li>
<li>Act as a trusted advisor to enterprise and government customers, guiding them in designing, validating, and implementing robust, scalable security architectures.</li>
<li>Deliver compelling technical narratives, solution architectures, and executive-level presentations tailored to customer priorities and use cases.</li>
<li>Own and contribute to RFP/RFI processes, ensuring responses are accurate, competitive, and aligned with customer requirements and regional regulations.</li>
<li>Channel customer insights back into Product, Engineering, and Threat Research teams to influence roadmap direction and ensure our platform continues to lead the industry.</li>
<li>Mentor, coach, and uplift junior and mid-level SEs&mdash;driving technical excellence, field readiness, and high performance across the wider team.</li>
<li>Represent SentinelOne at strategic customer engagements, industry events, workshops, and partner enablement sessions as a thought leader in AI-powered cybersecurity.</li>
</ul><h3 class="jobSectionHeader">What skills and knowledge should you bring?</h3>
<ul><li>10+ years of hands-on experience in Solutions Engineering or technical pre-sales, with deep expertise in cybersecurity, EDR/XDR, SIEM, observability, and modern security architectures.</li>
<li>Strong technical depth across industry-leading platforms, tools, and frameworks in endpoint security, cloud security, identity, logging, and threat detection.</li>
<li>Exceptional communication, storytelling, and presentation skills, with the ability to articulate complex technical concepts to executives, architects, and practitioners alike.</li>
<li>Demonstrated ability to diagnose challenges in large, complex environments and design scalable, outcome-focused solutions.</li>
<li>Strong customer-facing presence with a track record of influencing technical decisions, driving platform adoption, and building long-term trust.</li>
<li>Highly self-driven and organized, with the ability to thrive in fast-paced environments, prioritize effectively, and manage multiple high-stakes engagements.</li>
<li>Proven experience with cloud platforms (AWS, Azure, GCP), including architectural understanding and hands-on familiarity with modern cloud-native services.</li>
<li>A genuine passion for cybersecurity innovation, AI-driven security, and delivering measurable customer impact.</li>
</ul><h3 class="jobSectionHeader">Why us?</h3>

At SentinelOne, you'll join a fast-paced, international Sales Team focused on driving real impact. You'll work with talented colleagues from around the world, and develop your skills in a dynamic, innovative environment. We offer strong career growth opportunities, excellent training, and a fun, collaborative culture.

We also provide a range of benefits to support your success, including:
<ul>
<li>3-month non-recoverable draw and uncapped commission, and Restricted Stock Units (RSUs)</li>
<li>Private Medical Care for you and your family</li>
<li>Transportation, housing, education and phone allowances</li>
<li>Flexible Time Off policy to recharge when you need it</li>
<li>Choice of a high-end MacBook or Windows laptop, plus home-office setup support</li>
<li>An additional volunteer day each year and 4+ Wellness Days for self-care and mental health</li>
<li>Global, gender-neutral parental leave and grandparent leave for life's important moments</li>
<li>Access to a confidential Employee Assistance Program (EAP) offering mental health support</li>
<li>Full access to LinkedIn Learning for professional development</li>
<li>Full access to Wellness Coach, a mental well-being and fitness app</li>
<li>Opportunities to connect and grow through our Company Inclusion Networks and Mentor Program</li>
</ul>
</div><div>SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.</div></div>

Staff Solutions Engineer

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