AI Solutions Engineer (AI)

Location: Remote in Georgia, United States. Domestic and international travel may be required. This role is not eligible for immigration sponsorship.

Annual base salary: $150,000–$185,000 in Massachusetts, New York, New Jersey, and Connecticut, plus commission eligibility for sales roles.

Company

hirify.global provides an enterprise data platform that helps organizations transform complex data into actionable insights.

What you will do

• Lead technical pre-sales engagements with account executives, prospects, and enterprise customers.
• Run discovery sessions and requirements workshops to identify business drivers and customer use cases.
• Design, build, and demonstrate customer-centric AI and data platform solutions, including proof-of-concepts.
• Present architectures, product vision, roadmap, and business outcomes to technical stakeholders.
• Define technical selling approaches, support account strategies, and translate customer feedback into product roadmap items.
• Contribute to evangelism, enablement materials, knowledge repositories, and mentoring across the Solutions Engineering team.

Requirements

• Hands-on experience across the full AI model lifecycle, including development, testing, production deployment, monitoring, retraining, and versioning.
• At least 3 years of professional experience in a customer-facing pre-sales role selling solutions to enterprise business leaders and technical champions.
• Strong experience with AI ecosystems, including Agentic AI, Ethical AI, Generative AI, and AI development tools such as Cursor, Copilot, and Claude.
• Experience developing AI or data science use cases, designing solution architectures, and demonstrating business value.
• Enterprise software, Big Data, infrastructure, security, data governance, Linux, Java or .NET, and SQL experience.
• Bachelor’s degree in a technical field and strong written, verbal communication, analytical, and problem-solving skills.

Nice to have

• Knowledge of the Big Data ecosystem, including HDFS, YARN, Spark, Impala, Kudu, and Solr.
• Streaming experience with Nifi, Kafka, Flink, or Spark and NoSQL experience with HBase, Cassandra, or MongoDB.
• Experience with enterprise data warehouses, data science and ML tools, or integration and visualization products.
• Ability to thrive in a changing environment and willingness to travel domestically and internationally.

Culture & Benefits

• Flexible work-from-home policy.
• Generous paid time off and company-wide unplugged days.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Career development opportunities, comprehensive benefits, paid volunteer time, and employee resource groups.