Job summary
Job post source
This job is directly from Qlik
Job overview
The AI Systems Engineer at Qlik develops innovative AI-integrated solutions to enhance customer ROI and operational efficiency, driving adoption of Qlik products and delivering business value.
Responsibilities and impact
The role involves developing AI-powered tools to improve customer ROI, accelerating product adoption, driving internal operational efficiencies, collaborating cross-functionally, and staying current with AI trends to enhance customer experience.
Compensation and benefits
The position offers a base salary range of $125,000 to $170,000 USD annually, with final compensation based on location, skills, and experience, plus a comprehensive benefits package including career progression, mentoring, and a flexible, diverse work environment.
Experience and skills
Candidates should have extensive experience in back-end development with Python, Java, or Node.js, API integration, cloud platforms (especially AWS Bedrock), front-end development with JavaScript and React, IdAM protocols, databases (RDBMS, Snowflake, Databricks, NoSQL), LLM integration, model fine-tuning, and prompting frameworks like LangChain; strong communication, collaboration, problem-solving, adaptability, and a customer-centric approach are also required.
Career development
Qlik offers genuine career progression pathways, mentoring programs, and encourages continuous learning and innovation in a supportive environment.
Work environment and culture
Qlik fosters a culture of innovation, technology, collaboration, openness, diversity, equity, inclusion, and corporate responsibility, with flexible and international work settings.
Company information
Qlik is a Gartner Magic Quadrant Leader for 15 years, serving over 40,000 global customers with advanced AI/ML data integration and analytics solutions, recognized as a top employer in the National Capital Region.
Team overview
The candidate will join a highly skilled, collaborative team working with frontier AI technologies in an innovative incubator environment focused on rapid prototyping and market-leading solutions.
Job location and travel
The position is remote within the USA, offering flexibility in work location.
Application process
Applicants should apply online through Qlik's careers page and may request accommodation for disabilities via email; unsolicited search firm submissions are not accepted.
Unique job features
The role offers a unique incubator setting promoting rapid innovation and 'fail fast' prototyping, working with cutting-edge AI models and frameworks to solve complex business problems.
Company overview
Qlik is a leading provider of data analytics and business intelligence solutions, specializing in transforming raw data into actionable insights. The company generates revenue through software licensing, subscription services, and professional consulting. Founded in 1993 in Lund, Sweden, Qlik has a significant history marked by its innovative QlikView product and its subsequent cloud-based platform, Qlik Sense. Known for its associative data indexing engine, Qlik empowers organizations to make data-driven decisions efficiently.
How to land this job
Tailor your resume to emphasize your expertise in AI integration, back-end development with Python, Java, or Node.js, and your experience with cloud platforms like AWS, especially AWS Bedrock for AI/ML services.
Highlight your skills in API integration, front-end development using React, and identity and access management with protocols such as OIDC and tools like Okta, reflecting the job's technical requirements.
Apply through multiple channels including Qlik’s corporate careers page and LinkedIn to maximize your application’s visibility and ensure it reaches the right hiring teams.
Connect with current AI Systems Engineers or team members in Qlik’s AI or product divisions on LinkedIn; use ice breakers like commenting on recent AI innovations at Qlik or expressing enthusiasm for their collaborative incubator environment to start conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI integration,' 'AWS Bedrock,' 'RESTful APIs,' 'LLM integration,' and 'LangChain' to ensure your resume passes automated screenings effectively.
Use Jennie Johnson’s Power Apply feature to automate tailored applications, find all relevant application portals, and identify LinkedIn contacts for networking, allowing you to focus more on preparing for interviews and skill enhancement.
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