Pre-Sales / Solution Engineer (AI & Big Data)

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  "id": 2517079,
  "city": "Warszawa",
  "guid": "76hoe",
  "slug": "pre-sales-engineer-ai-big-data",
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  "title": "Pre-Sales / Solution Engineer (AI & Big Data)",
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  "created_at": "2026-03-06 14:28:48 UTC",
  "department": "Growth",
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  "state_code": "14",
  "state_name": "Mazowieckie",
  "updated_at": "2026-04-01 08:14:29 UTC",
  "careers_url": "https://addepto.recruitee.com/o/pre-sales-engineer-ai-big-data",
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  "description": "<p><span style=\"color:#3D3D3D\">Addepto is a </span><strong><span style=\"color:#3D3D3D\">leading AI consulting</span></strong><span style=\"color:#3D3D3D\"> (</span><a rel=\"noopener\" target=\"_blank\" href=\"https://addepto.com/ai-consulting/\">https://addepto.com/ai-consulting/</a><span style=\"color:#3D3D3D\">) and </span><strong><span style=\"color:#3D3D3D\">data engineering</span></strong><span style=\"color:#3D3D3D\"> (</span><a rel=\"noopener\" target=\"_blank\" href=\"https://addepto.com/data-engineering-services/\">https://addepto.com/data-engineering-services/</a><span style=\"color:#3D3D3D\">) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.</span></p><p style=\"min-height: 1.7em;\"></p><p><span style=\"color:#3D3D3D\">The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own </span><a rel=\"noopener\" target=\"_blank\" href=\"https://context-clue.com/\"><span style=\"color:#44B749\">product – ContextClue</span></a><span style=\"color:#3D3D3D\"> – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by </span><a rel=\"noopener\" target=\"_blank\" href=\"https://www.forbes.com/sites/bernardmarr/2022/08/17/what-are-the-10-best-ai-consulting-firms/\"><span style=\"color:#000000\">Forbes as one of the top 10 AI consulting companies worldwide</span></a><span style=\"color:#3D3D3D\">.</span></p><p style=\"min-height: 1.7em;\"></p><p><span style=\"color:#3D3D3D\">As part of </span><a rel=\"noopener\" target=\"_blank\" href=\"https://kms-technology.com/\"><span style=\"color:#44B749\">KMS Technology</span></a><span style=\"color:#3D3D3D\">, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.</span></p><p style=\"min-height: 1.7em;\"></p><p>We are looking for a <strong>Pre-Sales Engineer</strong> to help clients unlock the value of modern AI and data platforms. In this role, you will support organizations in the early stages of their transformation by aligning technical solutions - such as machine learning, LLM-based applications, and cloud data platforms - with their strategic business goals.</p><p style=\"min-height: 1.7em;\"></p><p>You will become an expert in our consulting offerings across AI/ML, LLM integrations, and modern data engineering solutions, acting as a trusted technical advisor during pre-sales engagements. Working closely with sales, delivery, and engineering teams, you will help shape solution concepts, support technical discovery, and ensure a smooth transition from early discussions to project implementation.</p><p><br></p><p><strong>🚀 Your main responsibilities:</strong></p><ul><li><p><span style=\"color:#000000\">Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals.</span></p></li><li><p><span style=\"color:#000000\">Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives.</span></p></li><li><p><span style=\"color:#000000\">Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions.</span></p></li><li><p><span style=\"color:#000000\">Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms.</span></p></li><li><p><span style=\"color:#000000\">Contribute to internal R&amp;D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies (e.g., cloud-native data platforms, data engineering tools), and translating </span>insights into recommendations for internal teams and clients.</p></li><li><p><span style=\"color:#000000\">Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.</span></p></li></ul>",
  "postal_code": "00-025",
  "company_name": "Addepto",
  "country_code": "PL",
  "published_at": "2026-03-06 14:45:10 UTC",
  "requirements": "<p><strong>🎯 What you’ll need to succeed in this role:</strong></p><ul><li><p><span style=\"color:#000000\">Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.</span></p></li><li><p><span style=\"color:#000000\">Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.</span></p></li><li><p><span style=\"color:#000000\">Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures.</span></p></li><li><p><span style=\"color:#000000\">Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills.</span></p></li><li><p><span style=\"color:#000000\">A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment.</span></p></li><li><p><span style=\"color:#000000\">Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).</span></p></li><li><p><span style=\"color:#000000\">Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.</span></p></li><li><p><span style=\"color:#000000\">Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.</span></p></li><li><p><span style=\"color:#000000\">Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services (e.g., Azure Data Factory, Azure Synapse, Databricks, or similar platforms).</span></p></li><li><p><span style=\"color:#000000\">Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.</span></p></li><li><p><span style=\"color:#000000\">Excellent English (at least C1 level).</span></p></li><li><p><span style=\"color:#000000\">Excellent time management and multitasking ability - comfortable working across several customer projects and internal teams.</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>➕ Nice to have:</strong></p><ul><li><p><span style=\"color:#000000\">Exposure to or interest in sales processes, technical demos, and customer-facing engagements.</span></p><p style=\"min-height: 1.7em;\"></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>🎁&nbsp;&nbsp;Discover our perks &amp; benefits:</strong></p><ul><li><p>Work in the rapidly evolving world of <strong>AI &amp; Big Data</strong>.</p></li><li><p>Engage with top-tier global enterprises and cutting-edge startups on international projects.</p></li><li><p>Enjoy flexible work arrangements, allowing you to <strong>work remotely</strong> or from modern offices and coworking spaces.&nbsp;</p></li><li><p>Accelerate your professional growth through <strong>career paths</strong>, <strong>knowledge-sharing</strong> initiatives, <strong>language</strong> classes, and sponsored<strong> training</strong> or <strong>conferences</strong>.</p></li><li><p>Choose your preferred form of cooperation: <strong>B2B</strong> or a contract of mandate, and enjoy <strong>20 fully paid days off.</strong></p></li><li><p>Participate in<strong> team-building events</strong> and utilize the <strong>integration budget</strong>.</p></li><li><p>Celebrate <strong>work anniversaries, birthdays, </strong>and<strong> milestones.</strong></p></li><li><p>Access <strong>medical </strong>and<strong> sports packages</strong>, eye care, and well-being support services, including psychotherapy and coaching.</p></li><li><p>Get full work equipment for optimal productivity, including a laptop and other necessary devices.</p></li><li><p>With our backing, you can <strong>boost</strong> <strong>your</strong> <strong>personal brand</strong> by speaking at conferences, writing for our blog, or participating in meetups.</p></li><li><p>Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.</p></li></ul>",
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    "en": {
      "title": "Pre-Sales / Solution Engineer (AI & Big Data)",
      "highlight": null,
      "description": "<p><span style=\"color:#3D3D3D\">Addepto is a </span><strong><span style=\"color:#3D3D3D\">leading AI consulting</span></strong><span style=\"color:#3D3D3D\"> (</span><a rel=\"noopener\" target=\"_blank\" href=\"https://addepto.com/ai-consulting/\">https://addepto.com/ai-consulting/</a><span style=\"color:#3D3D3D\">) and </span><strong><span style=\"color:#3D3D3D\">data engineering</span></strong><span style=\"color:#3D3D3D\"> (</span><a rel=\"noopener\" target=\"_blank\" href=\"https://addepto.com/data-engineering-services/\">https://addepto.com/data-engineering-services/</a><span style=\"color:#3D3D3D\">) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.</span></p><p style=\"min-height: 1.7em;\"></p><p><span style=\"color:#3D3D3D\">The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own </span><a rel=\"noopener\" target=\"_blank\" href=\"https://context-clue.com/\"><span style=\"color:#44B749\">product – ContextClue</span></a><span style=\"color:#3D3D3D\"> – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by </span><a rel=\"noopener\" target=\"_blank\" href=\"https://www.forbes.com/sites/bernardmarr/2022/08/17/what-are-the-10-best-ai-consulting-firms/\"><span style=\"color:#000000\">Forbes as one of the top 10 AI consulting companies worldwide</span></a><span style=\"color:#3D3D3D\">.</span></p><p style=\"min-height: 1.7em;\"></p><p><span style=\"color:#3D3D3D\">As part of </span><a rel=\"noopener\" target=\"_blank\" href=\"https://kms-technology.com/\"><span style=\"color:#44B749\">KMS Technology</span></a><span style=\"color:#3D3D3D\">, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.</span></p><p style=\"min-height: 1.7em;\"></p><p>We are looking for a <strong>Pre-Sales Engineer</strong> to help clients unlock the value of modern AI and data platforms. In this role, you will support organizations in the early stages of their transformation by aligning technical solutions - such as machine learning, LLM-based applications, and cloud data platforms - with their strategic business goals.</p><p style=\"min-height: 1.7em;\"></p><p>You will become an expert in our consulting offerings across AI/ML, LLM integrations, and modern data engineering solutions, acting as a trusted technical advisor during pre-sales engagements. Working closely with sales, delivery, and engineering teams, you will help shape solution concepts, support technical discovery, and ensure a smooth transition from early discussions to project implementation.</p><p><br></p><p><strong>🚀 Your main responsibilities:</strong></p><ul><li><p><span style=\"color:#000000\">Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals.</span></p></li><li><p><span style=\"color:#000000\">Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives.</span></p></li><li><p><span style=\"color:#000000\">Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions.</span></p></li><li><p><span style=\"color:#000000\">Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms.</span></p></li><li><p><span style=\"color:#000000\">Contribute to internal R&amp;D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies (e.g., cloud-native data platforms, data engineering tools), and translating </span>insights into recommendations for internal teams and clients.</p></li><li><p><span style=\"color:#000000\">Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.</span></p></li></ul>",
      "requirements": "<p><strong>🎯 What you’ll need to succeed in this role:</strong></p><ul><li><p><span style=\"color:#000000\">Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.</span></p></li><li><p><span style=\"color:#000000\">Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.</span></p></li><li><p><span style=\"color:#000000\">Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures.</span></p></li><li><p><span style=\"color:#000000\">Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills.</span></p></li><li><p><span style=\"color:#000000\">A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment.</span></p></li><li><p><span style=\"color:#000000\">Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).</span></p></li><li><p><span style=\"color:#000000\">Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.</span></p></li><li><p><span style=\"color:#000000\">Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.</span></p></li><li><p><span style=\"color:#000000\">Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services (e.g., Azure Data Factory, Azure Synapse, Databricks, or similar platforms).</span></p></li><li><p><span style=\"color:#000000\">Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.</span></p></li><li><p><span style=\"color:#000000\">Excellent English (at least C1 level).</span></p></li><li><p><span style=\"color:#000000\">Excellent time management and multitasking ability - comfortable working across several customer projects and internal teams.</span></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>➕ Nice to have:</strong></p><ul><li><p><span style=\"color:#000000\">Exposure to or interest in sales processes, technical demos, and customer-facing engagements.</span></p><p style=\"min-height: 1.7em;\"></p></li></ul><p style=\"min-height: 1.7em;\"></p><p><strong>🎁&nbsp;&nbsp;Discover our perks &amp; benefits:</strong></p><ul><li><p>Work in the rapidly evolving world of <strong>AI &amp; Big Data</strong>.</p></li><li><p>Engage with top-tier global enterprises and cutting-edge startups on international projects.</p></li><li><p>Enjoy flexible work arrangements, allowing you to <strong>work remotely</strong> or from modern offices and coworking spaces.&nbsp;</p></li><li><p>Accelerate your professional growth through <strong>career paths</strong>, <strong>knowledge-sharing</strong> initiatives, <strong>language</strong> classes, and sponsored<strong> training</strong> or <strong>conferences</strong>.</p></li><li><p>Choose your preferred form of cooperation: <strong>B2B</strong> or a contract of mandate, and enjoy <strong>20 fully paid days off.</strong></p></li><li><p>Participate in<strong> team-building events</strong> and utilize the <strong>integration budget</strong>.</p></li><li><p>Celebrate <strong>work anniversaries, birthdays, </strong>and<strong> milestones.</strong></p></li><li><p>Access <strong>medical </strong>and<strong> sports packages</strong>, eye care, and well-being support services, including psychotherapy and coaching.</p></li><li><p>Get full work equipment for optimal productivity, including a laptop and other necessary devices.</p></li><li><p>With our backing, you can <strong>boost</strong> <strong>your</strong> <strong>personal brand</strong> by speaking at conferences, writing for our blog, or participating in meetups.</p></li><li><p>Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.</p></li></ul>",
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      "sharing_description": "Want to be a part of Addepto? Join us!"
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      "kind": "single_choice",
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          "body": "More than 3 months",
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            "en": {
              "body": "More than 3 months"
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            "en": {
              "body": "2 months"
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            "en": {
              "body": "1 month"
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              "body": "1 week"
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      "body": "Are you fluent in both English and Polish (written and spoken)?",
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        "en": {
          "body": "Are you fluent in both English and Polish (written and spoken)?"
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      "body": "Do you have hands-on commercial technical experience in software development or data/AI-related solutions (e.g., AI, Machine Learning, Generative AI, LLMs, Big Data, or data engineering)?",
      "kind": "boolean",
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        "en": {
          "body": "Do you have hands-on commercial technical experience in software development or data/AI-related solutions (e.g., AI, Machine Learning, Generative AI, LLMs, Big Data, or data engineering)?"
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      "body": "Briefly describe your experience in technical pre-sales (2–4 sentences).",
      "kind": "text",
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      "position": 7,
      "required": true,
      "translations": {
        "en": {
          "body": "Briefly describe your experience in technical pre-sales (2–4 sentences)."
        }
      },
      "open_question_options": []
    },
    {
      "id": 3787258,
      "body": "<p><a href=\"https://addepto.recruitee.com/information-clause\" target=\"_blank\" rel=\"noopener\">Information clause for job candidates in Addepto sp. z o. o. / Klauzula informacyjna dla uczestników procesu rekrutacji do pracy w Addepto sp. z o.o.</a></p>\n<p><br /></p>\n<p><a href=\"https://https//addepto.recruitee.com/previews/4962ba70-6329-4d89-8820-ee9b97d0c5ea\" target=\"_blank\" rel=\"noopener\"><br /></a>I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji</p>",
      "kind": "legal",
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      "translations": {
        "en": {
          "body": "<p><a href=\"https://addepto.recruitee.com/information-clause\" target=\"_blank\" rel=\"noopener\">Information clause for job candidates in Addepto sp. z o. o. / Klauzula informacyjna dla uczestników procesu rekrutacji do pracy w Addepto sp. z o.o.</a></p>\n<p><br /></p>\n<p><a href=\"https://https//addepto.recruitee.com/previews/4962ba70-6329-4d89-8820-ee9b97d0c5ea\" target=\"_blank\" rel=\"noopener\"><br /></a>I consent to the processing of my personal data for the purposes of the recruitment processes / Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji</p>"
        }
      },
      "open_question_options": []
    },
    {
      "id": 3787259,
      "body": "<p>Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [<a href=\"https://addepto.recruitee.com/legal-agreements-future-processes\" target=\"_blank\" rel=\"noopener\">show more</a>]</p>",
      "kind": "legal",
      "options": {},
      "position": 9,
      "required": false,
      "translations": {
        "en": {
          "body": "<p>Consent to the proccessing of personal data in the future recruitment processes / Zgoda na przetwarzanie danych w przyszłych rekrutacjach [<a href=\"https://addepto.recruitee.com/legal-agreements-future-processes\" target=\"_blank\" rel=\"noopener\">show more</a>]</p>"
        }
      },
      "open_question_options": []
    }
  ],
  "experience_code": "experienced",
  "careers_apply_url": "https://addepto.recruitee.com/o/pre-sales-engineer-ai-big-data/c/new",
  "locations_question": "What is your preferred work location?",
  "max_hours_per_week": null,
  "min_hours_per_week": null,
  "options_salutation": "off",
  "sharing_description": "Want to be a part of Addepto? Join us!",
  "employment_type_code": "fulltime_permanent",
  "options_cover_letter": "optional",
  "locations_question_type": "multiple_choice",
  "location_question_visible": false,
  "locations_question_required": true
}