AI Solutions Engineer
Kolena · Canada
- Hybrid
- Full-time
- $120,000 / year
- Canada
Job highlights
- Guide customers implementing AI agent solutions.
- Design, build, and deploy custom AI solutions.
- Optimize AI performance through prompt engineering.
- Act as customer advocate for product feedback.
- Ensure customer success and maximize value.
About the role
About Kolena
Kolena enables teams to focus on creating value by automating repetitive tasks through the power of AI agents.The Role
This is a hands-on, individual contributor role where you will be the front-line expert responsible for guiding customers from their initial engagement through to the successful, long-term implementation of our AI agent solutions. This role combines deep customer empathy and a passion for problem-solving with the technical skills to build and deliver powerful AI-driven solution and value.Your goal is to become a trusted advisor, understanding the customer's pain points, designing tailored solutions that address them, and ensuring their ongoing success. The ideal candidate has a strong technical mindset but is also a natural communicator who can quickly get to the core of a customer's problem.Responsibilities
- Customer Engagement & Discovery: Partner with customers to understand their business processes, identify inefficiencies, and quantify the potential value of AI automation.
- Solution Design & Implementation: Design, build, and deploy custom AI agent solutions and integrations, from initial proof-of-concept (POC) to full implementation and handoff. This includes helping customers model their data and thinking through potential integrations.
- Prompt Engineering: Continuously iterate and refine agent prompts to optimize performance and ensure the highest quality output for each customer.
- Output Templating: Work with templating engines, such as Jinja, to structure and format AI outputs for customer-facing deliverables.
- Product Advocacy: Act as the voice of the customer, communicating key pain points and opportunities back to the product and engineering teams to help shape our roadmap.
- Customer Success: Provide ongoing support, training, and strategic guidance to ensure our customers are happy and realize maximum value from their investment.
- Project Management: Maintain a high level of organization across multiple POCs and customer projects.
Skills & Experience
- LLM Expertise: Proven familiarity with large language models (LLMs), including an understanding of their capabilities, best practices, and limitations.
- Problem-Solving: The ability to analyze complex business problems and translate them into simple, efficient AI solutions.
- Customer Obsession: A genuine passion for helping customers and a proven track record of delivering exceptional service.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts in simple, clear terms.
- Mindset: A strong desire to not just deliver on customer requests but to identify the "next step" and proactively deliver even more value than initially expected.
- Attention to Detail: Maintain a meticulous and high standard for all customer-facing work, ensuring precision and quality in all outputs and deliverables.
Strongly Desired
- Business Acumen: Familiarity with the language and processes of industries like Real Estate, Finance, or Insurance.
- Technical Aptitude: Basic proficiency with APIs and simple Python scripting for data pre- or post-processing.
Key skills/competency
- AI Solutions
- AI Agents
- LLM Expertise
- Prompt Engineering
- Customer Engagement
- Solution Design
- Python Scripting
- APIs
- Customer Success
- Problem-Solving
Skills & topics
- AI Solutions Engineer
- AI
- Machine Learning
- LLM
- Prompt Engineering
- Customer Success
- Solution Design
- Python
- API
- Technical Sales
How to get hired
- Tailor your resume: Highlight LLM expertise, prompt engineering, and customer-facing roles.
- Showcase problem-solving: Provide examples of translating complex issues into AI solutions.
- Demonstrate customer obsession: Share experiences in delivering exceptional customer service.
- Prepare for technical questions: Brush up on LLM capabilities and API/Python basics.
- Understand Kolena's mission: Align your application with their goal of automating tasks with AI agents.
Technical preparation
Master LLM capabilities and limitations.,Practice prompt engineering for diverse scenarios.,Build simple Python scripts for data tasks.,Familiarize yourself with API integrations.
Behavioral questions
Describe a complex problem you solved.,How do you ensure customer satisfaction?,How do you handle competing priorities?,How do you proactively add value?
Frequently asked questions
- What kind of technical skills are essential for an AI Solutions Engineer at Kolena?
- For an AI Solutions Engineer role at Kolena, essential technical skills include proven familiarity with large language models (LLMs), understanding their capabilities, best practices, and limitations. Basic proficiency with APIs and simple Python scripting for data pre- or post-processing is also strongly desired. Experience with templating engines like Jinja is beneficial for structuring AI outputs.
- How does Kolena leverage AI agents in its solutions?
- Kolena leverages AI agents to automate repetitive tasks for their customers, enabling teams to focus on creating value. As an AI Solutions Engineer, you'll be instrumental in designing, building, and implementing these AI agent solutions, guiding customers from initial engagement through long-term success.
- What does 'Customer Obsession' mean for this AI Solutions Engineer role at Kolena?
- Customer obsession at Kolena means having a genuine passion for helping customers achieve their goals. It involves understanding their pain points deeply, designing tailored AI solutions, and providing ongoing support and strategic guidance to ensure they realize maximum value from Kolena's AI agent offerings.
- Is prior experience in specific industries required for the AI Solutions Engineer position?
- While not strictly required, familiarity with industries like Real Estate, Finance, or Insurance is strongly desired for the AI Solutions Engineer position at Kolena. This business acumen helps in understanding customer processes and identifying the value of AI automation within those specific contexts.
- What is the primary focus of the AI Solutions Engineer role at Kolena?
- The primary focus of the AI Solutions Engineer role at Kolena is to be a front-line expert, guiding customers through the implementation of AI agent solutions. This involves customer engagement, solution design, prompt engineering, and ensuring ongoing customer success to maximize the value derived from Kolena's technology.
- How important is prompt engineering for an AI Solutions Engineer at Kolena?
- Prompt engineering is a crucial responsibility for an AI Solutions Engineer at Kolena. You will be continuously iterating and refining agent prompts to optimize performance and ensure the highest quality output for each customer's specific needs.