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Pre-Sales Solution Architect (Data&AI)

Descrição do Emprego - Pre-Sales Solution Architect (Data&AI)

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Claranet is the biggest Managed Service Provider operating in Portugal by revenue, with a focus on Cloud, Security, Applications, Workplace, and Data&AI.

If you share our vision, join us!


We are
seeking a
Pre-Sales Solution Architect to join our established Data
& AI team in Portugal.

This role
is built on a technical foundation. We are looking for someone who comes from a
hands-on background — data engineering, AI/ML, platform or solution
architecture — and who now wants to move closer to the client without losing
that technical edge.

Your day
will be spent understanding what clients actually need, designing the right
solution with the support of our specialist teams, and explaining that solution
clearly to everyone in the room, from engineers to executive sponsors. Backed
by strategic partnerships with industry leaders and a strong portfolio of public
success cases, you will turn complex challenges into effective technical
solutions and business proposals.

To see the
impactful work our Data & AI team delivers, supported by world-class
partners and successful client stories, visit our page:
https://www.claranet.com/pt/data-ai/

 

Your
responsibilities:

We work
across both Data and AI, and need technical depth in both areas. You do not
need to be an expert in both: we welcome candidates coming from either a Data
or AI background, while valuing the curiosity and willingness to build
familiarity across the wider Data & AI landscape.

  • Engaging
    directly with clients to understand their business context, technical
    landscape, and real objectives.

  • Leading
    discovery sessions to gather, challenge, and qualify business and technical
    requirements.

  • Designing
    and architecting end-to-end Data & AI solutions, working both autonomously
    and in collaboration with our specialist and delivery teams to validate
    feasibility, effort, and risk.

  • Translating
    those architectures into clear proposals, estimates, and roadmaps that clients
    can understand and act upon.

  • Presenting
    and defending the value of your solutions to diverse stakeholders, both
    technical and managerial.

  • Leading
    and supporting Proofs of Concept (PoCs), from design through to demonstration.

  • Staying
    hands-on and at the forefront of Data & AI trends, ensuring our solutions
    are always relevant, competitive, and technically sound.

 

You must
have:

We are
looking for an engineer at heart who wants to sit closer to the client. To
succeed in this role, you should have:

  • A
    Genuinely Technical Background:
    Real, hands-on experience in the Data or AI space (for
    example: data engineering, cloud and GPU infrastructure, MLOps, software or
    solution architecture) that allows you to design credible solutions and lead
    technical discussions with confidence.

  • Solution
    Design Capability:
    The ability to take an ambiguous problem and shape it into a coherent
    architecture, covering data platforms, pipelines, ML and Generative AI
    workloads, integration, security, and cost.

  • A
    Client-Facing Ambition:
    A clear desire to spend your time with clients — listening, questioning, and
    presenting complex ideas simply to both technical and managerial audiences.

  • Strong
    Business Acumen:
    The ability to connect technical decisions to tangible, measurable business
    outcomes such as cost, time-to-market, and risk.

  • A
    Proactive & Collaborative Mindset:
    Knowing when to design alone and
    when to bring in the team, with a strong desire to learn, innovate, and drive
    continuous improvement within a team-first environment.

  • A
    Genuinely Technical Background:
    Real, hands-on experience in either the Data or AI space
    (for example: data engineering, data platforms, ML/AI engineering, cloud or
    solution architecture) that allows you to design credible solutions and lead
    technical discussions with confidence.


We value:

These are
not mandatory requirements, but they will certainly set you apart:

  • NVIDIA: hands-on experience with GPU
    infrastructure, NVIDIA AI Enterprise, NIM, or inference optimisation.

  • Microsoft
    Azure and Google Cloud Platform:
    experience designing and certifications on either
    platform.

  • Generative
    AI in production: RAG, agentic systems, model serving, evaluation, and
    governance.

  • Experience
    with modern data platforms, data pipelines, and Data Governance.

  • A
    track record in a client-facing technical role (Pre-Sales, Solution
    Architecture, or Consultancy).

  • The
    drive to contribute to the strategic design of our service offerings, and to
    build and maintain relationships with key technology partners.

 

What we
offer:

  • Technical
    breadth across both Data and AI: while your core expertise can sit in either
    domain, experience or curiosity spanning both is a plus.

  • Be
    part of a pioneering and successful Data & AI team, delivering impactful,
    cutting-edge projects across various industries.

  • An
    opportunity to join Portugal’s largest Managed Service Provider, a company
    distinguished by numerous awards from leading technology partners, reflecting
    our top-tier expertise in the market. See our awards here:
    https://www.claranet.com/pt/sobre-nos/premios/

  • The
    chance to work alongside highly skilled, certified engineers across our core
    domains: Data&AI, Cloud, Cybersecurity, Application, and Workplace.

  • Direct
    collaboration and strategic partnerships with the world's leading public Cloud
    and AI providers (like NVIDIA, Microsoft Azure, and Google Cloud), ensuring you
    are always at the forefront of innovation.

  • Our
    own Claranet Cloud Platform (
    https://pt.hs.claranet.com/ccp) further showcases
    our deep technical expertise, offering you a true multi-cloud environment to
    work with.

 

Workplace: Lisbon
(preferred), with flexible remote working options.

Make
modern happen!


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