AI & Cloud Platforms Specialist Solutions Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an AI & Cloud Platforms Specialist Solutions Engineer based in the United States. We are seeking an experienced AI & Cloud Platforms Specialist Solutions Engineer to help enterprise customers accelerate their digital transformation through innovative cloud, data, AI, and modern application solutions. In this role, you will combine deep technical expertise with consultative selling to identify customer needs, shape tailored solutions, and drive business growth. You will collaborate with account teams, technology partners, and service delivery experts to develop opportunities across cloud modernization, platform engineering, automation, generative AI, and modern data platforms. Through customer workshops, technical presentations, demonstrations, and strategic discussions, you will translate complex technologies into clear business value. You will also help build sales pipelines, strengthen executive relationships, and develop strategies to advance opportunities from initial engagement to successful deal closure. This remote opportunity is ideal for a commercially minded technology professional who thrives at the intersection of enterprise technology, customer engagement, and strategic growth. \n Accountabilities

Customer engagement and opportunity development:

Engage prospective and existing customers to understand business challenges, assess technology readiness, identify gaps in infrastructure and processes, and qualify opportunities across AI, cloud, data, platform engineering, DevOps, and modern application development. Solution design and value articulation:

Collaborate with account teams, technical specialists, service delivery teams, and technology partners to develop prioritized solutions aligned with customer needs, communicate business value, and demonstrate how integrated technologies can support digital transformation. Technical presentations and enablement:

Lead customer workshops, seminars, webinars, whiteboarding sessions, and demonstrations to explain complex architectures, integrations, and technical concepts in an accessible and compelling manner. Sales pipeline generation:

Build and qualify new opportunities through targeted campaigns, portfolio analysis, social selling, marketing initiatives, partner engagement, and collaboration with internal sales teams. Strategic account development:

Work closely with regional leadership and account executives to identify high-potential customers, map key stakeholders, engage senior decision-makers, and expand relationships across customer and partner organizations. Cloud and technology partnerships:

Develop relationships with major technology providers and leverage their expertise, resources, and available funding programs to support sales campaigns and accelerate customer adoption. Business growth and customer expansion:

Identify opportunities to increase technology consumption and expand existing accounts through new solutions, product demonstrations, proposals, and coordinated partner initiatives. Competitive and market analysis:

Monitor industry developments, emerging technologies, customer requirements, and competitive positioning to identify new business opportunities and recommend effective pursuit strategies. Deal strategy and execution:

Develop and implement opportunity-specific close plans, coordinate stakeholder engagement, establish timelines, secure customer commitment, and mitigate risks to support predictable deal outcomes. Territory and portfolio management:

Develop territory plans, maintain accurate sales forecasts, conduct whitespace and industry analysis, and prioritize target accounts in alignment with business objectives. Sales and delivery excellence:

Coordinate with sales, marketing, partners, and delivery teams to support customer satisfaction, resolve concerns, develop recovery plans when needed, and ensure successful engagement outcomes. Technical development and certifications:

Maintain foundational competency in core cloud technologies, complete required training, and pursue relevant certifications to remain current with evolving platforms and solutions. Requirements

Education:

Bachelor's degree in engineering, information technology, data communications, information systems, computer science, or a related field, or equivalent professional experience and qualifications. Professional 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. Cloud infrastructure:

Experience with public cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP), as well as on-premises environments. Data platforms:

Familiarity with modern data platforms, data services, and architectures that support enterprise analytics and AI initiatives. Generative AI and large language models:

Experience with LLMs from providers and ecosystems such as OpenAI, Anthropic Claude, Azure OpenAI, Microsoft Copilot, Amazon Bedrock, Amazon Nova, and Llama-family models. AI architectures:

Knowledge of generative AI implementation patterns, including Retrieval-Augmented Generation (RAG), as well as agentic AI and multi-agent systems. Automation and DevOps:

Hands-on experience with automation, orchestration, and CI/CD pipelines, including source control, build and deployment processes, code quality, application performance monitoring, reporting, and related tooling. Infrastructure as Code:

Practical experience with Infrastructure as Code (IaC), scripting, or configuration management tools such as Terraform, Puppet, Chef, Ansible, Rundeck, and shell scripting. Cloud certifications:

Ability to maintain or obtain foundational certifications in relevant cloud technologies, such as AWS Certified Solutions Architect – Associate and Microsoft Azure Administrator (AZ-104). Consultative and commercial mindset:

Ability to connect technical capabilities with business outcomes, identify customer needs, qualify opportunities, and contribute to sales strategy and revenue growth. Communication and presentation:

Excellent written and verbal communication skills, with the ability to deliver compelling presentations, facilitate technical discussions, explain complex concepts clearly, and engage both technical and business stakeholders. Relationship management:

Strong interpersonal skills and the ability to collaborate effectively with customers, account teams, partners, executives, and cross-functional technical teams. Analytical and problem-solving abilities:

Sound judgment, strong decision-making skills, and the ability to assess complex environments, evaluate competing solutions, and recommend appropriate courses of action. Organization and adaptability:

Ability to manage multiple priorities, meet deadlines, work effectively in a fast-paced environment, and adapt to evolving customer requirements and business needs. Continuous learning:

Commitment to professional development, emerging technologies, relevant certifications, and ongoing improvement of technical and commercial expertise. Benefits

Competitive compensation:

Annual on-target earnings (OTE) of

$220,000–$325,000 , including base salary and any applicable target bonus. Actual compensation may vary depending on experience, qualifications, and geographic location. Remote work:

A remote position based in the United States. Healthcare coverage:

Medical, dental, and vision insurance. Retirement savings:

Access to a 401(k) plan. Paid time off:

Paid company holidays and paid time off. Family support:

Paid parental and caregiver leave. Learning and development:

Opportunities for cross-functional training, professional development, and continued learning. Certifications and credentials:

Support for pursuing relevant industry certifications and professional qualifications. Technology exposure:

Access to advanced technologies and specialized lab environments that support experimentation, innovation, and technical growth. Inclusive workplace:

A collaborative culture that values diverse perspectives, belonging, professional growth, and equal opportunity. Additional benefits:

Further details on healthcare, leave, and other employee programs are available through the employer's benefits resources. \n

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