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AI Agent Builder

Deloitte

Deloitte

Software Engineering, Data Science
Amsterdam, Netherlands
Posted on Feb 23, 2026
Apply now

AI Agent Builder

  • Strategy, Risk & Transactions Advisory
  • Amsterdam The Edge
  • Bachelor (HBO/WO)

Build intelligent autonomous systems. Join our innovation team developing and implementing agentic AI workflows that solve real business challenges. Design, build, and scale AI agents that directly impact how our organization works. At Deloitte.

W
h
a
t
i
m
p
a
c
t
w
i
l
l
y
o
u
m
a
k
e
?

    H
    o
    w
    d
    o
    y
    o
    u
    d
    o
    t
    h
    i
    s
    ?

    What impact will you make?
    As an AI Agent Builder, you will design and develop intelligent autonomous workflows that
    solve complex business problems. You’ll work on enterprise AI projects, collaborating with
    senior architects and technical teams to translate business requirements into
    production-ready AI agents. You’ll focus on understanding how AI should be applied:
    choosing the right patterns, architectures, and frameworks, and implementing them
    effectively. Under the guidance of experienced mentors, you’ll master agentic AI design
    patterns, workflow orchestration, LLM integration strategies, and production deployment
    practices. You will be responsible for the development of agents for well-defined use cases,
    collaborate with senior architects and engineers, and contribute to solutions that directly
    impact business outcomes and that achieve user adoption.
    You’ll be part of a team developing and rolling out enterprise AI agent capabilities across our
    organization. Your work will directly impact adoption rates, user satisfaction, and business
    outcomes across multiple business units and client engagements.
    • Translate business requirements into AI workflows: Work with clients and stakeholders to understand their challenges and design agentic AI solutions that address real business needs.
    • Architect data and information flows: Determine how AI systems should access and use data.
    • Define AI interaction strategies: Design how users and systems will interact with AI agents, including prompting strategies and feedback loops.
    • Implement and test AI workflows: Build and validate agents using enterprise frameworks and tools.
    • Deploy agents to production environments: Ensure agents meet production quality standards and performance requirements.
    • Gather user feedback and iterate: Collect feedback from users and continuously improve AI workflow designs.
    • Learn from experienced architects: Understand how to match business problems to AI patterns.
    What’s in it for you?
    • Learn from industry leaders: Work alongside experienced GenAI architects and senior developers who are passionate about mentoring. Access training on agentic AI patterns, best practices, and emerging technologies.
    • A clear growth path: Clear path to senior AI solution designer, including active coaching for support.
    • Latest technology: Access to cutting-edge AI tools, frameworks, and platforms.
    • Flexibility: Flexible work arrangements (32 hours to 40 hours).
    • Professional development: Learning budget, certifications, and training opportunities.
    • Develop deep expertise in agentic AI: Deep expertise in autonomous AI systems is highly valued in the market.
    • Shape the future of AI: Your implementations influence how we utilize AI to transform the way we work.
    • Inclusive culture: Collaborative, diverse, and supportive team environment.

    W
    h
    a
    t
    ’
    s
    i
    n
    i
    t
    f
    o
    r
    y
    o
    u
    ?

    • You’ll
      receive
      a
      profit-sharing
      bonus.
      On
      top
      of
      your
      fixed
      salary.
      Continuous
      professional
      growth.
      Join
      our
      development
      program.
      A
      work-from-home
      office
      setup
      allowance
      to
      make
      sure
      you
      have
      everything
      you
      need
      for
      an
      ergonomically
      designed
      workstation
      and
      internet
      allowance.
      Work
      part-time
      (32
      hours
      a
      week)
      or
      full-time
      (40-hours
      a
      week).

    What’s in it for you?

    • You’ll
      receive
      a
      profit-sharing
      bonus.
      On
      top
      of
      your
      fixed
      salary.
    • Continuous
      professional
      growth.
      Join
      our
      development
      program.
    • A
      work-from-home
      office
      setup
      allowance
      to
      make
      sure
      you
      have
      everything
      you
      need
      for
      an
      ergonomically
      designed
      workstation
      and
      internet
      allowance.
    • Work
      part-time
      (32
      hours
      a
      week)
      or
      full-time
      (40-hours
      a
      week).
    • Flexible
      working
      hours,
      you
      are
      in
      charge
      of
      your
      own
      calendar.
    • 26
      days
      of
      paid
      annual
      leave,
      and
      the
      opportunity
      to
      purchase
      additional
      leave.
    • The
      option
      to
      exchange
      three
      national
      holidays
      for
      three
      non-national
      holidays.
    • A
      good
      mobility
      scheme:
      the
      choice
      of
      various
      options
      such
      as
      a
      lease
      car,
      travel
      by
      public
      transport,
      a
      cash
      option
      or
      a
      combination
      of
      these.
    • A
      laptop
      and
      iPhone.
      The
      iPhone
      can
      be
      for
      personal
      use.
    • A
      time
      for
      time
      arrangement
      that
      creates
      flexibility
      for
      personal
      moments
      that
      matter.
    • A
      good
      pension
      scheme
      with
      a
      personal
      contribution
      of
      only
      2%.
      For
      a
      comfortable
      future.
    • An
      opportunity
      to
      take
      part
      in
      our
      collective
      health
      insurance
      scheme.
    • An
      opportunity
      to
      benefit
      from
      tax-efficient
      facilities
      such
      as
      fitness,
      a
      bicycle
      scheme
      or
      the
      opportunity
      to
      lease
      a
      bicycle.
    • The
      opportunity
      to
      use
      55
      hours
      of
      babysitting
      service
      per
      calendar
      year,
      if
      your
      child
      is
      12
      years
      old
      or
      younger.
    • A
      flexible
      budget,
      which
      you
      can
      use
      to
      make
      choices
      in
      flexible
      benefits,
      for
      example:
      purchasing
      extra
      leave
      days
      or
      financing
      a
      bicycle
      plan.
    • Six
      weeks
      of
      fully
      paid
      birth
      leave
      for
      traditional
      households
      and
      rainbow
      families.

    B
    e
    t
    h
    e
    t
    r
    u
    e
    y
    o
    u

    Who are you?
    • 0-2 years of professional or academic experience with AI/ML concepts or software engineering background with AI / ML self-study. Comfortable with Python or similar languages for implementing workflows and integrations.
    • A curious and analytical mindset: You enjoy breaking down complex business problems
    • Familiarity with AI frameworks: You understand their purpose and when to use them
    • Understanding of AI workflow concepts: You know what agents are and how they differ from traditional AI
    • Familiarity with prompt engineering best practices: You craft concise, context‑rich prompts, iterate and evaluate outputs, and apply constraints/guardrails for accuracy and safety.
    • Eager to learn and experiment with new AI patterns and architectures
    • Effective communication skills: You can explain technical concepts to non-technical stakeholders. You are proactive about sharing knowledge and learning from others.
    • You thrive in a collaborative environment and enjoy working in cross-functional teams
    • Fluency in English
    Nice-to-haves
    • Experience with Azure OpenAI or similar LLM platforms
    • Experience with API integration and data workflows
    • Relevant certifications (AI Fundamentals, Prompt Engineering)
    • Contributions to AI/ML communities or open-source projects
    • Understanding of evaluation frameworks for AI systems

    C
    o
    n
    n
    e
    c
    t
    y
    o
    u
    r
    f
    u
    t
    u
    r
    e
    t
    o
    D
    e
    l
    o
    i
    t
    t
    e

    We are curious to know more about you. To learn what makes you exceptional. Because at
    Deloitte, we believe that our mutual differences add value to our client’s needs. Please
    introduce yourself and apply for this great opportunity. We are pleased to offer you tips on
    how to responsibily combine AI with your unique qualities, ensuring that 'your recruitment
    process' truly represents you. Not sure if this vacancy is right for you? Please contact the
    recruiter below.

    A
    p
    p
    l
    i
    c
    a
    t
    i
    o
    n
    p
    r
    o
    c
    e
    s
    s

    We
    are
    looking
    for
    driven
    professionals,
    with
    a
    passion
    for
    their
    profession
    and
    ambition
    to
    continue
    to
    develop
    themselves.
    By
    means
    of
    the
    steps
    below
    we
    try
    to
    find
    out
    as
    much
    as
    possible
    about
    you
    and
    your
    knowledge
    and
    skills.
    The
    recruiter
    will
    guide
    you
    through
    this
    process.

    Application process

    We are looking for driven professionals, with a passion for their profession and ambition to continue to develop themselves. By means of the steps below we try to find out as much as possible about you and your knowledge and skills. The recruiter will guide you through this process.

    • Step 1: Preparation

      You can apply for our vacancies online or send us an open application. We will ask you to tell us a bit more about yourself, such as your name and address, for example, and information about your educational background. You can upload your CV and a motivation letter. We will send you confirmation when we have received all your details.

    • Step 2: Resume and motivation

      One of our recruiters will assess your details and determine whether you fit the profile of the vacancy you are applying for.

    • Step 3: The assessment

      When a recruiter sees enough of a match with your profile, we will ask you to complete an online assessment. By playing four online games, we can see which qualities and talents you possess and whether they align with the position you've applied for.

    • Step 4: The interview

      Depending on the scores of the career scan, you will be invited to a first interview with the recruiter. The first interview is conducted with a recruiter and someone from the team. We are curious about who you are, what you have done, and what your expectations are of a new job. We also give you more insight into what we are looking for, and what the responsibilities are that belong to the vacancy. If both you and Deloitte would like to talk further, we invite you for a follow-up interview. In this conversation, we dive deeper into the content. What is your talent and what skills do you master? You may receive a case study during one of the follow-up interviews.

    • Step 5: The offer

      When all conversations have been satisfactorily completed (for both parties), an offer will follow. The recruiter will draw up the contract for you which you will receive digitally.

    S
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    r
    t
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    o
    u
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    a
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    p
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    i
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    a
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    i
    o
    n

    Submit referral

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