AI Solutions Architect

Space44

Województwo mazowieckie

Remote

PLN 190,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Fully Remote
Flexible Schedule
Gradual Onboarding
Professional Growth
Innovative Projects
Meaningful Ownership
Competitive Income
Global Team
Long-Term Client Impact

Job summary

SPACE44 is seeking an experienced AI Solutions Architect to design AI operating models, align them with client objectives, and lead discovery with stakeholders.

You will configure PIPE44, collaborate with Embedded AI Engineers, and guide onboarding, governance and long-term AI adoption for diverse industries, communicating clearly in English.

This remote role offers international clients, flexible hours and ongoing professional growth.

Qualifications

  • 7+ years of experience in solutions architecture, enterprise tech, or AI transformation.
  • Direct work with business stakeholders or exec teams.
  • Strong understanding of LLMs, RAG, and AI workflows.
  • Experience designing AI-enabled business solutions in production.
  • Knowledge of AI governance and responsible AI practices.
  • Ability to translate business needs into AI solutions.
  • Strong documentation and stakeholder management.
  • Comfort with governance and delivery processes.
  • Experience in remote, client-facing environments is desirable.
  • Business-fluent English (written and spoken).

Responsibilities

  • Understand client operations and identify where AI adds value.
  • Lead discovery sessions and design activities with stakeholders.
  • Design AI operating models aligned to objectives and ways of working.
  • Configure AI agents, knowledge structures, and PIPE44 governance.
  • Guide onboarding, implementation, and long-term adoption.
  • Build relationships with business and operational stakeholders.
  • Measure adoption, quality, and outcomes to identify improvements.
  • Collaborate with Embedded AI Engineers for delivery.
  • Contribute to PIPE44 evolution with real-world learnings.

Skills

AI solutions architecture
Enterprise technology
Stakeholder management
LLMs
RAG
Knowledge management
Business process improvement
English fluency

Job description

Remote | Contractor | Part-time to Full-time

About SPACE44

AI is changing how organisations operate, but most businesses struggle to move beyond isolated AI tools and disconnected experiments.

At SPACE44, we deploy PIPE44, our AI operations platform, inside client environments and work alongside organisations to embed AI into the way they operate. We govern how AI agents access information, interact with business systems and deliver consistent, reliable outcomes across the organisation.

We don't deliver strategy decks or one-off implementations. We build, operate and continuously improve AI capability within our clients' businesses. We run the system, we own the outcomes, and we stay.

Who We're Looking For

We're looking for experienced professionals who enjoy solving business problems, working closely with stakeholders and turning complex challenges into practical AI solutions. You may come from a background in AI solutions architecture, digital transformation, enterprise technology, knowledge management, business process improvement or a similar field. What matters most is your ability to understand how organisations operate, translate business needs into practical AI solutions and build trusted relationships with the people you work with.

This is a hands-on delivery role. You'll spend time understanding how organisations work, designing AI solutions around their business processes, implementing those solutions through PIPE44 and partnering with clients to ensure they deliver long-term value. If you're looking for a role focused primarily on software development, our Embedded AI Engineer role is likely a better fit.

What You'll Do
  • Understand how client organisations operate and identify opportunities where AI can create measurable business value.
  • Lead discovery sessions and solution design activities with business stakeholders.
  • Design practical AI operating models aligned to each organisation's objectives and ways of working.
  • Configure AI agents, knowledge structures and governance within PIPE44.
  • Guide organisations through onboarding, implementation and long-term AI adoption.
  • Build trusted relationships with business and operational stakeholders.
  • Measure AI adoption, solution quality and business outcomes, identifying opportunities for continuous improvement.
  • Partner with Embedded AI Engineers to ensure successful implementation and delivery.
  • Help shape the evolution of PIPE44 by bringing real-world client challenges and successful delivery patterns back into the platform.
Skills & Experience
  • 7+ years of professional experience in solutions architecture, enterprise technology, AI transformation, digital transformation, knowledge management, business process improvement or a related field.
  • Demonstrated experience working directly with business stakeholders, department leaders or executive teams.
  • Strong practical understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents and modern enterprise AI workflows.
  • Experience designing or implementing AI-enabled business solutions in production environments.
  • Understanding of AI governance, knowledge management and responsible AI practices.
  • Ability to translate business challenges into practical AI-enabled solutions.
  • Strong documentation, communication and stakeholder management skills.
  • Comfortable working with structured governance, accountability and delivery processes.
  • Experience working in remote, client-facing environments is highly desirable.
  • Strong ownership mentality, you deliver what you commit to.
  • Business-fluent English (written and verbal).
What This Role Doesn't Own
  • Final business decisions remain with the client's leadership team.
  • Technical implementation is delivered in partnership with our Embedded AI Engineers.
  • AI solutions are designed collaboratively, successful adoption depends on working alongside client teams rather than replacing them.
Why Join SPACE44

You’ll work with organisations that are genuinely committed to transforming how they operate with AI, not simply experimenting with the latest technology.

Every engagement presents a different challenge. One week you might be helping a logistics company redesign operational workflows, the next enabling an HR team to build an AI-powered knowledge hub or supporting leadership in embedding AI across their organisation.

Your work doesn't end when a solution goes live. You’ll continue helping clients expand and improve their AI capability while contributing to the ongoing evolution of PIPE44 through real-world experience.

If you enjoy combining business thinking, technology and problem-solving to create lasting impact, you’ll find meaningful work at SPACE44.

Working Model & Benefits
  • Fully Remote Environment: Work from anywhere, with normal business hours, flexibility and no on-call rotation.
  • Flexible Work Schedule: Enjoy a non-linear workday designed to support productivity and work-life balance, with core hours for team collaboration.
  • Gradual Onboarding: Start with a planned transition as you get up to speed with our systems, processes and client environments.
  • Professional Growth: Access training opportunities to strengthen your skills and grow your career.
  • Innovative Projects & Tools: Work on cutting-edge AI projects using modern tools and technologies in a progressive remote environment.
  • Meaningful Ownership: Take ownership of client outcomes, solve real business challenges and help shape the continued evolution of SPACE44 and PIPE44 through your experience.
  • Competitive Income: Receive competitive compensation, with regular performance reviews and potential increases every six months.
  • Global Team Dynamics: Collaborate with a diverse international team that values openness, ownership and teamwork.
  • Long-Term Client Impact: Work on ongoing engagements where your contribution compounds over time rather than ending after a once-off implementation.
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