AI Solution Architect - ERP

Job Description

Purpose

As an AI Solution Architect, you are part of the industry’s most formidable solution engineering force. You work across the IFS AI portfolio, applying deep domain expertise within ERP, EAM, or FSM (in some cases more than one of these disciplines) to win strategic deals, elevate presales performance, and drive go-to-market innovation across regions and market units.

You are a senior technical specialist and trusted advisor who leads high-impact strategic pursuits at the intersection of the AI portfolio and your domain. You bring the AI solution set to life in the language of ERP, EAM, and FSM buyers shaping our solution engineering tactics, raising the quality bar across presales, and enabling key talent across market units in the core business. You collaborate broadly across Sales, Marketing, R&D, and GTM functions to strengthen execution and accelerate innovation. In short: this role is about representing and developing our AI market leadership through the presales function, grounded in real industry and domain depth.

Key Responsibilities

Technical Win Pursuits / Sales Execution

Lead from the front in qualified, high-impact AI pursuits by applying solution, AI portfolio, and industry depth, tailoring demonstrations and delivering proof-of-value engagements that drive customer confidence. Set the quality bar and avoid scope creep. This role has a key emphasis on this activity: Ensuring technical win pursuit excellence across the pipeline.

AI Portfolio Depth & Domain Translation

Act as the connective tissue between the AI portfolio and your domain (ERP, EAM, and/or FSM). Translate AI capabilities into credible, domain-specific outcomes and architectures, and ensure solutions are technically sound and implementable.

Trusted Advisor Across the Business

Provide insight-based guidance to shape marketing campaigns, sales plays, messaging, roadmap priorities, and competitive positioning for the AI portfolio within your domain.

Presales Performance Elevation

Strengthen presales execution through key content creation, storytelling, reusable asset development, mentoring, and setting the example in delivery excellence.

GTM Innovation

Drive evolution in our AI go-to-market model through cross-functional collaboration, industry-specific sales plays, and field innovation. The emphasis will always be on strategic deal execution, but the balance between these focus areas may vary depending on individual expertise and evolving business needs.

Subject Matter Expertise

The AI Solution Architect carries deep domain expertise in one or more of the following, paired with strong command of the IFS AI portfolio:

• ERP-centric: Deep understanding of enterprise resource planning processes, market dynamics, and the competitive landscape.

• EAM-centric: Deep understanding of enterprise asset management (EAM), APM, and AIP market dynamics.

• FSM-centric: Deep understanding of field service software market dynamics, including products, competitors, customers, and partners.

• Multi-domain: Several architects will operate credibly across two or more of these disciplines.

Success Metrics

• Contribution to AI portfolio revenue targets in partnership with sales leadership.

• Measurable improvement in presales readiness and win rates on qualified opportunities.

• Quality and reuse of solution assets, demonstrations, and proof-of-value engagements.

• Field-sensed product feedback that fuels future AI portfolio innovation.

Qualifications

Ideal Candidate Profile

• Self-Starter and Fast Learner: Thrives in a high-paced, dynamic business environment. Learns quickly and adapts with agility.

• Subject Matter Expertise: Deep domain credibility in ERP, EAM, and/or FSM, combined with genuine fluency in applied AI.

• Strong Team Player: Acts as both player and coach. Builds community, shares knowledge, and mentors rising talent across geographies.

• Presentation and Demonstration Skills: Skilled in delivering both software demonstrations and executive-level presentations, with the ability to tailor delivery to varied audiences.

• Technical Skills: Solid grasp of business and IT architecture; capable of assessing customer technology landscapes in the context of AI-led business transformation.

• Global Readiness: Fluent in English, with additional language skills seen as an advantage. Willingness to travel internationally and work flexible hours to support global engagements is essential.

• Interpersonal Skills: Creative, curious, and persuasive communicator, capable of influencing direction across technical and non-technical stakeholders at all levels.

• AI-first worker: Working “AI-first”, applying AI techniques to become both more efficient in everyday work, and more effective in customer engagements. Naturally curious and continuously finds new approaches and solutions.