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Solutions Engineer – AI specialist on Splunk (ASEAN)

Cisco

Solutions Engineer – AI specialist on Splunk (ASEAN)

Cisco

Singapore, Singapore

·

On-site

·

Full-time

·

6d ago

Meet the Team

Are you a builder / architect at heart, or an engineer who loves to tinker with new tech, or a consultant who strives at solving customer problems with a creative flair?

Or all of the above?

At Splunk (a Cisco company), we are at the apex of Machine and Agent data, alongside with the latest AI technologies to help our customers solve their hardest IT, Security and Observability challenges and deliver tangible business outcomes. This role involves working alongside account and cross-functional teams to deliver innovative AI and data-driven solutions that drive customer success. If you want to leverage your business savvy and technical excellence, and take the next step in your career to deliver strategic innovation that drives sales growth, come join our team!

Your Impact

As part of the Splunk Asia SE team, you'll be a senior customer-focused technical sales professional with intimate knowledge of customer-specific business drivers, including adjacent technology and solution areas. You will consult and drive the adoption of Splunk AI solutions across diverse industries. Your responsibilities include identifying potential clients, understanding their unique business needs, and delivering tailored AI solutions that enhance operational efficiency and business outcomes. You will demonstrate deep expertise in AI technologies and real-world deployment experience to design and implement AI-driven solutions. Additionally, you will translate complex technical and business concepts into clear, compelling messages for diverse audiences, including both technical and non-technical stakeholders. Collaboration is key in this role, as you will work closely with customers, partners, and engineering teams to transform customer challenges into business advantages using Splunk’s AI and Data technologies.

You are passionate about the fast-evolving IT landscape and the progressive impact of AI. You excel at solving complex problems with innovative technology solutions and are an exceptional presenter who can simplify complex technical scenarios into easy-to-understand messages. As an inspiring collaborator, you encourage innovative use of technology and demonstrate ideas through hands-on methods. You bring experience in AI technologies, data, and infrastructure, with the ability to bridge technical depth and business value. You will also closely collaboration with Product and Engineering to provide feedback and drive improvements to our AI and product roadmap.

As a Splunk AI subject-matter-expert, you will lead by example as a regional technical mentor to share experience and assets with SE team members.

Minimum Qualifications

  • Experience: 5+ or 8+ years of technology consulting experience, preferably in systems, software, data, analytics, and AI domains in a customer-facing role.

  • Technical Knowledge: Strong understanding of data analytics, programming, scripting languages. Strong hands-on experience in building and delivering demos, POVs and pilots in enterprise environments.

  • Documentation and Methodologies: Ability to create detailed, clear, and consumable documentation and standard methodologies for deployment related to application acceleration, automation/management efficiencies, enterprise solutions, and AI/ML technologies.

  • AI Application Development: Capability to develop and demonstrate real-world examples showcasing how AI technologies can drive business success and tackle complex problems. Proven ability to move from idea to implementation – quickly and effectively.

  • Presentation and Communication Skills: Excellent presentation skills with the ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and Data use cases.

Preferred Qualifications

  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.

  • In-depth understanding of AI models and AI-enabled workflows, including but not limited to GPT, Llama, Claude or similar.

  • Experienced with data storage and management (Splunk, Elastic, DSQL, NOSQL, Vector, Big Query etc) and AI/ML frameworks (Tensor Flow, Py Torch, Jupyter, NIMS and NVAIE etc).

  • Experience in training and fine-tuning AI models on premise or in cloud environments, and/or building inferencing architectures or agentic workflows.

  • Familiarity with containerization, understanding security and observability use cases.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

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About Cisco

Cisco

Cisco

Public

Cisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.

10,001+

Employees

Singapore

Headquarters

$317B

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.0

Compensation

3.0

Culture

2.5

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

Respectable company reputation

Good for resume/interviews

Recognized brand name

Cons

Poor communication/ghosting candidates

Work-life balance concerns

Overwork culture

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$70,294

total / year

Base

$28,118

Stock

$35,147

Bonus

$7,029

$49,206

$91,382

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview Round 1

4

Technical Interview Round 2

5

Behavioral Interview

6

Team Matching

7

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge