Specialist Solutions Architect - AI & ML (Financial Services)

TL;DR

Specialist Solutions Architect - AI & ML (Financial Services): Serving as the trusted technical ML & AI expert to hirify.global customers and the Field Engineering organization with an accent on architecting production-grade ML & AI applications on hirify.global. Focus on enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring systems.

Location: Remote, but preference for candidates located in the job listing area.

Salary: $180,000 — $247,500 USD

Company

hirify.global is the data and AI company that provides a Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of hirify.global’ AI offerings

Requirements

• 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer or AI Engineer.
• Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI

Nice to have

• 2+ years customer-facing experience in a pre-sales or post-sales role

Culture & Benefits

• Comprehensive benefits and perks to meet the needs of all employees.
• Committed to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.