Solution Director, Analytics & Al/ML (AI Engineering)

TL;DR

Solution Director, Analytics & AI/ML (AI Engineering): Leading the design and sales of Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS with an accent on engaging C-level stakeholders and driving top-of-funnel opportunity creation. Focus on combining deep technical expertise with exceptional business acumen and executive presence to sell the vision of generative AI transformation and deliver enterprise data modernization.

Location: Must be legally authorized to work in the US for any employer. Hybrid schedule available if located near a Rackspace office; otherwise, 100% remote within the US.

Salary: $277,000 - $338,000/year

Company

hirify.global is the multicloud solutions experts combining expertise with the world’s leading technologies to deliver end-to-end solutions.

What you will do

• Drive top-of-funnel opportunity creation through engaging C-level stakeholders with generative AI demonstrations and identifying data modernization needs.
• Lead the design and architecture of generative AI solutions and enterprise Lakehouse architectures.
• Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
• Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.
• Develop proposals that balance innovative AI capabilities with foundational data platform requirements.
• Maintain deep expertise across both solution domains: Generative AI and Data Platforms.

Requirements

• Must be legally authorized to work in the US for any employer.
• Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.
• Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments.
• A minimum of 15 years of enterprise solution architecture experience and 8 years of public cloud experience.
• A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization.
• Proven Presales/Sales Engineering experience with demonstrated success in engaging C-level executives.

Nice to have

• An advanced degree (Master's or PhD) in a relevant field.
• Experience with AWS professional services or AWS partner ecosystem across both Al and data domains.
• Hands-on experience with multiple Lakehouse and Al platforms.
• Industry certifications: AWS, Databricks Certified, Snowflake SnowPro.

Culture & Benefits

• Named a best place to work, year after year according to Fortune, Forbes and Glassdoor.
• We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity.
• The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP).

Hiring process

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
• Final hiring decisions are ultimately made by humans.