AI Solutions Architect

Job not on LinkedIn

🔥 9 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SPACE44

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤝 B2B

☁️ SaaS

👥 HR Tech

B2B • SaaS • HR Tech

SPACE44 is a company that specializes in delivering custom-built IT nearshore teams tailored to the unique needs of its clients. Focused on efficient and secure operational practices, SPACE44 offers a flexible, fast-tracked recruitment process designed to integrate seamlessly into company cultures and workflows. With a commitment to reducing operational complexities in hiring and performance management, SPACE44 enhances team effectiveness and scalability, allowing businesses to adapt dynamically to changing project needs while maintaining robust security protocols.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ 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.