AI & Cloud Platforms Specialist, Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Drive demand generation within AHEAD’s AI & Cloud Platforms portfolio.

• Partner with AHEAD Account Teams to pinpoint, assess, and develop customer solutions.

• Grasp customer challenges and establish credibility through success narratives, whiteboarding sessions, and industry expertise.

• Collaborate with Regional Managing Directors to spearhead sales initiatives for AI and cloud platform consulting services.

• Promote awareness of AHEAD services integrated with AWS, Microsoft, GCP, Harness, Cognition, Kong, Red Hat, Wiz, Snowflake, and Databricks.

• Engage with customers and partners on topics related to Data, AI, Platform Engineering, Cloud, and Modern Applications.

• Identify gaps in client environments, processes, and skills, and facilitate client enablement.

• Articulate complex solutions, architectures, and integrations clearly.

• Generate customer transformation case studies through seminars, workshops, webinars, and direct engagement.

• Build a sales pipeline, qualify opportunities, formulate solutions, convey business value, and assist in closing deals.

• Foster consumption and growth with existing customers through demonstrations, quotes, and collaborative efforts with partners.

• Utilize cloud-vendor funding opportunities effectively.

• Create stakeholder maps and engage senior decision-makers from customers and partners.

• Develop territory strategies, perform forecasting, and oversee the complete territory business management.

• Complete necessary training and achieve relevant product and role certifications.

⛳️ Requirements

• Bachelor’s degree in engineering, IT, data communications, Information Systems, computer science, or equivalent educational or professional experience and/or qualifications.

• 7–10 years of experience across various listed domains.

• Proficiency with public cloud environments (AWS, Azure, GCP) as well as on-premises setups.

• Familiarity with modern data platforms.

• Experience with large language models from prominent providers, including OpenAI, Anthropic Claude, Azure OpenAI & Copilot, Amazon Bedrock & Amazon Nova, and Llama-family models.

• Understanding of generative AI patterns, such as Retrieval-Augmented Generation (RAG).

• Knowledge of agentic AI and multi-agent systems.

• Practical experience in automation, orchestration, and CI/CD pipelines.

• Experience with Infrastructure as Code (IaC) tools, including Terraform, Puppet, Chef, Ansible, Rundeck, and Shell.

• AWS Solutions Architect Associate certification-level competency.

• Microsoft Azure certification-level competency, such as AZ-104 Azure Administrator.

• Excellent interpersonal, written, oral, presentation, problem-solving, decision-making, and judgment abilities.

• Capability to work effectively with team members, clients, and other IT departments.

• Proficiency in managing multiple tasks and maintaining flexibility in a dynamic environment.

• Commitment to delivering results on time.

🏝️ Benefits

• Medical, Dental, and Vision Insurance.

• 401(k).

• Paid company holidays.

• Paid time off.

• Paid parental and caregiver leave.

• Cross-department training and development opportunities.

• Sponsored certifications and credentials for ongoing learning.