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Senior Solution Engineer (AI)

Location 📍: Sydney, Australia (Hybrid - 3 Days In Office)

About Us 🚀

At Relevance AI, we’re building the future of work. Our mission is to enable the next doubling in human prosperity by delegating as much work as possible to an AI Workforce – a team of AI agents working together in a multi-agent system. 

We are building an entirely new category and scaling rapidly to meet unprecedented customer demand. We need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company that’s at the cutting edge of AI, this is the place for you.

The Role 🥳

We’re looking for a Senior Solution Engineer (AI) to join our dynamic team. This role involves building production-grade AI agents for customers, enabling them to create their own AI-powered solutions, and ensuring a seamless customer experience. You’ll work closely with customers to develop AI solutions that drive real business impact while also identifying opportunities for further adoption of our platform.

This is an exciting opportunity for someone passionate about AI, problem-solving, and working directly with customers to transform their businesses with intelligent automation.

Your impact💥

  • Work across both the pre-sales and post-sales customer journey.

  • Develop best-practice AI agents that solve real customer problems.

  • Enable and train customers to build AI agents on the Relevance AI platform.

  • Manage scope and timeline for AI agent deployment and customer onboarding.

  • Maintain and enhance customer relationships by providing ongoing support.

  • Identify upsell opportunities and drive customer success.

What We’re Looking For 🧠

  • 5+ years of experience in a Solutions Engineering/ Consulting role, preferably with low-code platforms and AI-driven solutions.

  • Strong customer-facing skills with a track record of driving value and success while meeting deadlines.

  • Strong technical foundations working with APIs. Coding in Python and experience with Gen AI/ LLMs is highly valued.

  • Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders.

  • Passion for AI and its real-world applications, with a solutions-oriented mindset and a drive for continuous learning.

Why Join Us? 🌟

  • Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.

  • We're guided by our five values: truth-seeking, be empathetic, put the customer first, have two gears, and build memories.

  • We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.

  • Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.

  • As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.

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Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Senior Solution Engineer (AI), Relevance AI

Join us at Relevance AI in Sydney as a Senior Solution Engineer (AI) and help shape the future of intelligent automation! We're passionate about transforming businesses with AI-powered solutions that truly drive impact, and we need someone like you to take our vision to the next level. In this hybrid role, you'll spend three days in the office leading the charge in building production-grade AI agents for our customers. Picture yourself developing innovative solutions and collaborating closely with clients to empower them in creating customized AI-driven applications. Your expertise in solutions engineering and passion for AI will be at the forefront of enhancing customer experiences and identifying new opportunities for adoption. You’ll engage in both pre-sales and post-sales journeys, showcasing your knack for problem-solving and your ability to manage timelines efficiently. With over five years of experience in a consulting or solutions engineering role, particularly with low-code platforms, you’ll leverage your strong customer-facing skills and technical knowledge. If you're excited about driving value, fostering strong customer relationships, and being part of a dynamic, fast-paced environment, this is your chance! Join Relevance AI and contribute to our mission of catalyzing human prosperity through advanced AI technology. We're looking for someone who can translate business needs into technical solutions, communicate complex ideas simply, and thrive in a culture that values innovation, empathy, and customer-centricity.

Frequently Asked Questions (FAQs) for Senior Solution Engineer (AI) Role at Relevance AI
What are the main responsibilities of a Senior Solution Engineer (AI) at Relevance AI?

The Senior Solution Engineer (AI) at Relevance AI takes on a pivotal role by developing production-grade AI agents tailored to customer requirements. This involves collaborating closely with clients throughout their journey—both pre-sales and post-sales—to ensure optimal implementation and support. Additionally, you will identify upsell opportunities and optimize the customer onboarding process, allowing clients to derive real business value from their AI solutions.

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What qualifications are needed for the Senior Solution Engineer (AI) position at Relevance AI?

To qualify for the Senior Solution Engineer (AI) role at Relevance AI, candidates should have 5+ years of experience in a Solutions Engineering or Consulting role, particularly with a proven background in low-code platforms and AI solutions. A strong foundation in APIs and proficiency in Python are essential, alongside the ability to translate complex concepts for non-technical stakeholders. Passion for AI and a solutions-oriented mindset are highly valued.

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How does the Senior Solution Engineer (AI) role fit into Relevance AI's company culture?

The Senior Solution Engineer (AI) role is integral to Relevance AI's culture, which emphasizes innovation, empathy, and a customer-first approach. Employees are encouraged to contribute ideas that shape company practices and foster a high-trust environment. As a key member of our team, you'll be instrumental in influencing our operational methods and helping us achieve our mission of driving prosperity through AI.

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What technologies will a Senior Solution Engineer (AI) at Relevance AI work with?

A Senior Solution Engineer (AI) at Relevance AI will work with advanced AI technologies, especially focusing on low-code platforms and Generative AI (Gen AI) models. Familiarity with APIs and coding in Python will be essential for developing effective AI agents. This role requires staying updated on industry trends to continually refine solutions that enhance customer experiences.

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What are the career growth opportunities for a Senior Solution Engineer (AI) at Relevance AI?

As a Senior Solution Engineer (AI) at Relevance AI, you'll have ample opportunities for professional growth and career development. The company values a high-trust environment that rewards exceptional performance with competitive salaries and roles that can evolve based on your contributions. As an early team member, you’ll have the unique opportunity to help shape our future and influence our organizational culture.

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Common Interview Questions for Senior Solution Engineer (AI)
Can you describe your experience with AI solutions and low-code platforms?

In your answer, focus on specific projects where you've implemented AI solutions, emphasizing the impact they had on the business. Discuss the low-code platforms you've used, how you navigated challenges, and the feedback received from clients or stakeholders.

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How do you handle customer feedback or requirements that seem unrealistic?

Start by acknowledging the customer’s perspective, then articulate how you typically assess feedback within the context of what's achievable. Share specific examples where you successfully aligned client expectations with technical possibilities.

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What steps do you take when onboarding a new client for an AI solution?

Detail your onboarding process, including initial consultations to understand customer needs, user training sessions, and any follow-up assessments to ensure the solution is performing as intended. Mention any tools or techniques you employ to ease this process.

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How do you prioritize tasks in a fast-paced environment?

Explain your prioritization strategy, such as evaluating tasks by urgency and impact, and using project management tools to stay organized. Offer examples of how this approach has led to successful outcomes in your previous roles.

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What inspires you about working with AI technology?

Articulate your passion for AI by discussing its potential to transform industries and improve user experiences. Share any personal experiences or motivations that drive your enthusiasm for AI and how they connect to the mission of Relevance AI.

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Can you provide an example of a challenging problem you solved related to AI implementation?

Share a specific case where you encountered technical hurdles during AI implementation and detail the steps you took to resolve the issue. Emphasize your problem-solving skills and the positive results that followed.

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How do you ensure effective communication with non-technical stakeholders?

Explain your approach to simplifying complex technical concepts, including using analogies, visual aids, and clear language to foster understanding. Sharing examples of successful communication with stakeholders can strengthen your response.

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What metrics do you use to evaluate the success of an AI solution?

Discuss specific KPIs that you track post-implementation, such as user engagement rates, productivity improvements, or cost savings. This shows your analytical mindset and understanding of how to measure AI solutions effectively.

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How do you stay updated on the latest trends in AI technology?

Mention the resources you utilize to stay informed, such as industry publications, online courses, webinars, and professional networks. Highlight your proactive nature in seeking out knowledge and communities related to AI advancements.

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What strategies do you use to encourage customer adoption of AI solutions?

Describe your methods to ensure customers see the value in adopting AI, such as providing ongoing support, showcasing successful case studies, or tailoring solutions to meet specific needs. Emphasizing a customer-centric approach can resonate well in your response.

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Full-time, hybrid
DATE POSTED
March 21, 2025

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