Solutions Engineer – Google AI
SHI International Corp. · United States
- Hybrid
- Full-time
- $250,000 / year
- United States
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Job highlights
- Collaborate with teams on customer cybersecurity needs.
- Serve as a customer-facing cloud AI expert.
- Develop and deliver new security services.
- Represent Google AI portfolio solutions.
- Consult on AI projects and business enablement.
About the role
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services. Over 17,000 Organizations Worldwide Rely On SHI’s Concierge Approach To Help Them Solve What’s Next. But The Heartbeat Of SHI Is Our Employees – All 7,000 Of Them. If You Join Our Team, You’ll Enjoy:
- Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
- Continuous professional growth and leadership opportunities.
- Health, wellness, and financial benefits to offer peace of mind to you and your family.
- World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
The Solutions Engineer – Google AI collaborates with account and specialty teams to assess customer cybersecurity needs. They will be a customer-facing cloud AI expert. They will take a consultative approach to AI projects and have a holistic understanding of how AI technology enables business. The Solutions Engineer will also develop and deliver new security services offerings to address customer requests/opportunities. They will represent the Google AI portfolio (Gemini Enterprise, AI Applications, Vertex AI, Data & Analytics) and will be responsible for representing future solutions developed/acquired by Google.
Role Description
- Achieve and maintain a Tier 1 Google Partner Delivery Readiness Profile for Gemini Enterprise, AI Applications, Vertex AI, and Data & Analytics
- Collaborate with account teams to evaluate and understand customers' AI technologies and needs.
- Collaborate with multiple layers of contacts within client organizations, including but not limited to CIO, CTO, IT Directors, AI Engineers, and procurement to strengthen our overall customer relationship and better understand the goals and objectives they are trying to achieve.
- Understand the company’s services offerings in all solution practice areas by attending company training and expanding knowledge through self-study.
- Educate sales teams on AI solution selling and key technologies through 1x1, team, and company training.
- Stay current on new technology, trends, and market behavior by studying market trends and the industry landscape.
- Engage in self-study and independent work in lab facilities to increase job-related knowledge and skills.
- Develop collateral to assist with AI sales engagements.
- Develop use cases and demos in the SHI lab to support sales engagements.
- Provide relevant customer-facing demos, proof-of-concept, and other pre-sales functions for Google AI Solutions.
Behaviors and Competencies
- Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.
- Negotiation: Can proactively seek out negotiation opportunities, initiate discussions, and contribute to conflict resolution.
- Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
- Detail-Oriented: Can manage complex tasks or projects, identifying errors or inconsistencies, and ensuring all details are addressed, necessary corrections are made, and quality is maintained.
- Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods.
- Follow-Up: Can proactively identify tasks that require follow-up, initiate necessary actions, and contribute to efficient workflow management.
- Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
- Relationship Building: Can proactively seek out opportunities to expand networks, initiate collaborations, and contribute to team cohesion.
- Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency.
- Results Orientation: Can set challenging goals for their team and lead them to achieve these goals, demonstrating a consistent track record of results.
Skill Level Requirements
- Google Machine Learning Engineer, Data Engineer, Google Cloud Professional Architect, or other relevant Google Cloud certifications are highly preferred; Other AI-related Certifications are a plus.
- Deep technical expertise in Google AI services, including core Google Cloud Platform services, Google Gemini Enterprise, AI Applications, Vertex AI, BigQuery, Looker, etc.
- Proven ability to manage technology friction during integration.
- Hands-on experience with Google AI technologies such as Vertex AI and Gemini Enterprise, and their integration with enterprise security solutions; exceptional client-facing and presentation skills with a demonstrated ability to lead technical sales discussions, build client relationships, and align solutions with business needs.
- Excellent presentation skills, including the ability to run demos on identity security solutions.
- Outstanding written and verbal communication.
- Attention to detail, organization, and follow-up skills.
- Initiative to research and resolve problems with a positive attitude.
- Exceptional relationship-building acumen with a passion for technology.
- Strong documentation skills to include system/network diagrams and presentations.
- Expert technical knowledge of AI solutions.
Other Requirements
- Completed Bachelor’s Degree or relevant work experience required.
- 3-5 years of experience in a similar role.
- 5+ years of experience in a technical Cloud/AI role.
- 3+ years of experience in Cloud/AI Pre-Sales Consulting.
- Ability to travel to SHI, Partner, and Customer Events.
Preferred Locations
- Austin, TX or Somerset, NJ
- Located near a major Google office hub.
- Proximity to major airports.
The estimated annual pay range for this position is $150,000 - $250,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
Key skills/competency
- Solutions Engineer – Google AI
- Google AI
- Cloud AI
- Gemini Enterprise
- Vertex AI
- Data & Analytics
- Customer Needs Assessment
- Technical Sales
- Solution Selling
- Relationship Building
Skills & topics
- Solutions Engineer
- Google AI
- Cloud AI
- AI Solutions
- Vertex AI
- Gemini Enterprise
- Technical Sales
- Pre-Sales Consulting
- Google Cloud
- Cybersecurity
How to get hired
- Tailor your resume: Highlight your Google AI expertise, cloud certifications, and pre-sales consulting experience. Quantify achievements in technical sales and solution selling.
- Craft a compelling cover letter: Express your passion for AI technology and how you can enable business outcomes for SHI's clients.
- Prepare for technical interviews: Be ready to discuss Google AI services (Gemini Enterprise, Vertex AI), GCP, and managing technology integration challenges. Practice presenting and demoing solutions.
- Showcase your communication skills: Demonstrate your ability to build relationships, understand client needs, and present complex technical information clearly.
- Research SHI's culture: Understand their concierge approach, commitment to growth, and how they leverage technology to serve global organizations.
Technical preparation
Master Google AI services (Gemini, Vertex AI).,Deepen Google Cloud Platform expertise.,Practice integration scenarios and friction management.,Develop compelling technical demos and use cases.
Behavioral questions
Demonstrate consultative selling and client relationship skills.,Showcase ability to present complex AI concepts clearly.,Illustrate problem-solving and initiative in technical challenges.,Highlight organizational skills for managing multiple projects.
Frequently asked questions
- What are the preferred locations for the Solutions Engineer – Google AI role at SHI?
- The preferred locations for the Solutions Engineer – Google AI position at SHI International Corp. are Austin, TX or Somerset, NJ. Candidates located near a major Google office hub and proximity to major airports are also considered.
- What is the estimated salary range for a Solutions Engineer – Google AI at SHI?
- The estimated annual pay range for the Solutions Engineer – Google AI position at SHI International Corp. is $150,000 - $250,000, which includes a base salary and bonus. The final compensation will vary based on job-related factors.
- What technical skills and certifications are most important for the Solutions Engineer – Google AI role?
- For the Solutions Engineer – Google AI role, Google Machine Learning Engineer, Data Engineer, or Google Cloud Professional Architect certifications are highly preferred. Deep technical expertise in Google AI services like Gemini Enterprise, Vertex AI, BigQuery, and Looker is crucial, along with experience in cloud/AI pre-sales consulting.
- What is SHI International Corp.'s approach to employee growth and benefits?
- SHI International Corp. offers continuous professional growth and leadership opportunities. Employees also benefit from health, wellness, and financial benefits, designed to provide peace of mind. They also provide world-class facilities and technology.
- How does SHI International Corp. ensure diversity and inclusion in its workforce?
- SHI International Corp. is proud to be the largest minority- and woman-owned enterprise in the U.S. and demonstrates a strong commitment to diversity within its workforce.
- What does the role of a Solutions Engineer – Google AI entail at SHI?
- The Solutions Engineer – Google AI at SHI acts as a customer-facing cloud AI expert, collaborating with account teams to assess cybersecurity needs, consult on AI projects, develop new security services, and represent the Google AI portfolio (Gemini Enterprise, Vertex AI, etc.).
- What kind of experience is required for the Solutions Engineer – Google AI position?
- The role requires 3-5 years of experience in a similar Solutions Engineer role, with 5+ years in a technical Cloud/AI role and at least 3 years in Cloud/AI Pre-Sales Consulting. A Bachelor's Degree or equivalent experience is also necessary.