AI & Cloud Platforms Specialist Solutions Engineer

JobgetherCloud and AI

Based in the United StatesFull-TimeSenior

SalaryAnnual on-target earnings (OTE) of $220,000–$325,000, including base salary and any applicable target bonus.

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Job Details

Experience: Approximately 7–10 years of experience across multiple relevant technical domains, ideally combined with customer-facing solution engineering, consulting, presales, or technology sales experience.
Required Skills: Microsoft AzureCI/CDTerraformGenerative AI

Bachelor's degree in engineering, information technology, data communications, information systems, computer science, or a related field, or equivalent professional experience and qualifications.
Approximately 7–10 years of experience across multiple relevant technical domains.
Customer-facing solution engineering, consulting, presales, or technology sales experience is preferred.
Experience with public cloud platforms, including AWS, Microsoft Azure, and/or Google Cloud Platform, and on-premises environments.
Familiarity with modern data platforms, data services, and architectures supporting enterprise analytics and AI.
Experience with LLMs, including ecosystems such as OpenAI, Anthropic Claude, Azure OpenAI, Microsoft Copilot, Amazon Bedrock, Amazon Nova, and Llama-family models.
Knowledge of generative AI implementation patterns, including RAG, agentic AI, and multi-agent systems.
Hands-on experience with automation, orchestration, and CI/CD pipelines.
Practical experience with Infrastructure as Code, scripting, or configuration management tools such as Terraform, Puppet, Chef, Ansible, Rundeck, and shell scripting.
Ability to maintain or obtain foundational cloud certifications, such as AWS Certified Solutions Architect – Associate and Microsoft Azure Administrator (AZ-104).
Ability to connect technical capabilities with business outcomes, identify customer needs, qualify opportunities, and contribute to sales strategy and revenue growth.

Engage prospective and existing customers to understand business challenges, assess technology readiness, and qualify opportunities.
Collaborate with account teams, technical specialists, service delivery teams, and technology partners to develop solutions aligned with customer needs.
Lead customer workshops, seminars, webinars, whiteboarding sessions, and demonstrations.
Build and qualify sales opportunities through targeted campaigns, portfolio analysis, social selling, partner engagement, and internal collaboration.
Identify high-potential customers, map stakeholders, engage senior decision-makers, and expand account relationships.
Develop technology-provider relationships and leverage partner expertise, resources, and funding programs.
Monitor industry developments, emerging technologies, customer requirements, and competitive positioning.
Develop opportunity-specific close plans, coordinate stakeholders, establish timelines, and mitigate deal risks.
Develop territory plans, maintain sales forecasts, and prioritize target accounts.
Coordinate with sales, marketing, partners, and delivery teams to support customer satisfaction and successful engagements.

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