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Join the Future of Supply Chain Intelligence — Powered by Agentic AI
At Resilinc, we’re pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale.
But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.
Check out this blog to learn more about how we are impacting the world's most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC
Resilinc | Innovation with Purpose. Intelligence with Impact.
The Enterprise AI Solutions Architect plays a pivotal role in helping the world’s leading enterprises harness the power of agentic AI to fortify their supply chains against risk and disruption.
In this role, you’ll be the technical backbone of our implementation team — partnering with global customers, implementation, product, engineering, and sales team members to decode complex enterprise challenges and design cutting-edge AI solutions that deliver measurable impact. You’ll bridge the gap between innovation and execution, showing executives, operations leaders, and technologists alike how our platform redefines what’s possible in supply chain resilience.
We’re looking for someone who thrives in high-stakes conversations, loves architecting solutions at scale, and can turn the buzzwords of AI into real, defensible business value.
This role requires US citizenship.
What You Will Do
- Solution Design & Consulting: Collaborate with implementation, product, engineering, and sales teams to understand customer goals, and design tailored solutions that align with both business and technical needs.
- Proof of Concept & Minimum Viable Product (PoC & MVP) Execution: Lead PoC/MVP initiatives to show how our AI solutions can effectively solve real-world challenges for prospective clients.
- Technical Advisory Support: Act as a go-to technical expert for the implementation, product, engineering, and sales teams, providing advice on product capabilities, integration options, and technical troubleshooting.
- Customer & Field Technical Training & Enablement: Create and lead educational sessions and resources to help implementation & sales teams, as needed, deepen their knowledge of the product and communicate value to prospects.
- Cross-Team Collaboration: Work with implementation, product, engineering, and sales teams to relay customer feedback, suggest product improvements, and support smooth implementation and adoption.
What You Will Bring
- 5+ years of experience in an enterprise architect role, particularly in AI; prefer technical pre-sales experience.
- Deep experience with agentic AI, machine learning, and data analytics.
- Hands-on experience with cloud platforms (highly prefer Azure) and knowledge of API integrations.
- Exceptional communication and presentation skills, capable of translating complex ideas for varied audiences.
- A problem-solver who thrives in a fast-moving, evolving environment.
- Bachelor’s degree in Computer Science, Engineering, Data Science or a similar discipline or equivalent work experience.
- Ability to travel up to 20%
What Will Make You Stand Out
- Experience integrating and transforming manufacturing and financial data to solve complex risk and compliance challenges.
What's in it for you?
At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.
Curious to know more about us? Dive in at www.resilinc.ai
More great news! Resilinc is backed by Vista Equity Partners
Resilinc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
If you are a person with a disability needing assistance with the application process please contact [email protected].
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
