Solution Engineer - Nexus Black
IFS · Itasca, Illinois, United States · Posted Jul 9, 2026
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As a Solutions Engineer within IFS Nexus Black, you will partner closely with Strategic Account Executives throughout the sales lifecycle to help enterprise customers understand how AI can solve their most complex business challenges.
This is not a traditional pre-sales engineering role. Success requires curiosity, business acumen and strong technical depth. You will combine consultative discovery, solution architecture and AI expertise to design customer-specific solutions that demonstrate measurable business value.
You'll engage directly with executive stakeholders, technical teams and business leaders, translating customer objectives into AI-powered solutions while collaborating closely with Product, Engineering and Customer Success teams.
You will play a critical role in helping customers move from vision to adoption by designing compelling demonstrations, leading proof-of-value engagements and influencing future product direction through customer insights.
Key Responsibilities
Customer Discovery & Business Consulting
Lead technical discovery sessions to understand customer priorities, business processes and operational challenges.
Translate customer objectives into AI use cases aligned to measurable business outcomes.
Identify opportunities where Nexus Black can create competitive advantage and operational value.
Build trusted relationships with business executives, technical leaders and solution stakeholders.
Solution Design & Technical Leadership
Design end-to-end AI solution architectures leveraging Nexus Black capabilities.
Recommend approaches that combine AI agents, enterprise data, automation and existing IFS solutions.
Provide architectural guidance throughout customer engagements.
Create solution designs that balance innovation, scalability, security and operational readiness.
Solution Demonstrations & Proof of Value
Deliver compelling demonstrations tailored to customer use cases.
Lead technical workshops, design sessions and executive presentations.
Define and execute proof-of-value engagements that validate customer outcomes.
Support customers throughout technical evaluations and pilot initiatives.
Sales Partnership
Partner with Strategic Account Executives on opportunity qualification, technical strategy and deal execution.
Serve as the primary technical advisor during enterprise sales cycles.
Help develop technical proposals, solution documentation and customer presentations.
Support competitive positioning and technical differentiation.
Product & Engineering Collaboration
Provide structured customer feedback to Product Management and Engineering.
Identify recurring customer requirements that influence product roadmap decisions.
Collaborate with AI Engineers to validate technical feasibility and prototype emerging capabilities.
Contribute reusable assets, demonstrations and best practices for the broader Solutions Engineering team.
Thought Leadership
Stay current on AI technologies, enterprise architecture trends and emerging industry use cases.
Represent Nexus Black at customer events, executive briefings and industry conferences.
Share technical knowledge internally and contribute to enablement across sales teams.
What We’re Offering
Salary Range: $160,000 - $175,000 plus bonus
Flexible paid time off, including sick and holiday
Medical, dental, & vision insurance
401K with Company contribution
Flexible spending accounts
Life insurance and disability benefits
Tuition assistance
Community involvement and volunteering events
Required Experience
5–10 years of experience in Solutions Engineering, Solution Architecture, Technical Consulting, Pre-Sales Engineering or similar customer-facing technical roles.
Experience supporting enterprise software or AI platform sales.
Proven ability to engage both executive and technical audiences.
Experience designing enterprise technology solutions that integrate multiple platforms and systems.
Strong presentation and communication skills with the ability to simplify complex technical concepts.
Experience working alongside enterprise sales teams on complex, multi-stakeholder opportunities.
Technical Knowledge
Experience in several of the following areas:
Generative AI and Large Language Models (LLMs)
AI agents and intelligent automation
Enterprise architecture
APIs and system integrations
Cloud platforms (Azure, AWS or Google Cloud)
Data platforms and analytics
Retrieval-Augmented Generation (RAG)
Enterprise security and governance considerations for AI
Microsoft Copilot, OpenAI, Anthropic or similar AI ecosystems
Hands-on software development experience is beneficial but not required.
Success Profile
The ideal candidate is:
Curious and driven to solve complex business problems.
Comfortable operating in ambiguous, fast-moving environments.
Equally confident speaking with CIOs, CTOs, engineers and business executives.
Passionate about AI and its practical application in enterprise environments.
Collaborative, customer-focused and outcome-oriented.…