Senior Pre-Sales Solution Architect (AI/ML)

Location: Fully remote within the United States

Compensation: $150K–$180K base annually, plus uncapped commission; on-target earnings of approximately $260K–$320K.

Company

hirify.global is a boutique data and AI consultancy delivering modern data platforms, analytics, and production-grade ML and AI solutions for mid-market and enterprise clients.

What you will do

• Lead technical discovery with prospects and translate ambiguous business needs into credible solution architectures.
• Design end-to-end architectures and phased delivery plans across Databricks, Snowflake, AWS, GCP, and Azure.
• Build proposals and Statements of Work, define team composition and timelines, and present technical solutions to executive and engineering stakeholders.
• Own technical sales activities, including pipeline development, technical validation, objection handling, and closing.
• Set technical direction for sold engagements, guide delivery teams through early architecture decisions, and contribute hands-on production-grade code.
• Protect delivery quality through code review, testing, documentation, clean handoffs, and account expansion.

Requirements

• Hands-on experience shipping production systems in data engineering, ML, cloud data platforms, or analytics; strong candidates typically have around 8 or more years of experience.
• Experience in a seller-doer, pre-sales solution architect, or consulting delivery lead role with responsibility for both sales targets and delivery.
• Required production expertise in Databricks, including Lakehouse, Delta Lake, Unity Catalog, MLflow, and Spark.
• Working knowledge of Snowflake and at least one of AWS, GCP, or Azure, plus dbt, Airflow, Python, and SQL.
• Ability to lead discovery with CTOs and other executives, collaborate with engineers, scope engagements, write proposals or SOWs, and present winning solutions.
• Applicants must be located in the United States; application materials must be submitted in English.

Nice to have

• Consulting or agency experience with client-embedded delivery.
• Current certifications in Snowflake, Databricks, AWS, GCP, or Azure.
• Experience taking GenAI or ML use cases from concept to production.
• Success expanding an initial project into a multi-workstream account.
• Expertise in fintech, healthcare, retail, or SaaS.

Culture & Benefits

• Builder-led, client-first environment focused on ownership, clear communication, and production impact.
• Hands-on work with Databricks, Snowflake, AWS, GCP, and Azure for enterprise clients.
• Medical, dental, vision, and life insurance.
• 401(k) with company matching.
• Conference, event, client visit, travel, and per diem expenses covered.
• Uncapped commission, quota accelerators, pipeline activity bonuses, and performance bonuses.