Account Solutions Architect (Financial Services)

TL;DR

Account Solutions Architect (Financial Services) (AI/LLM): Serve as the named technical partner for a portfolio of financial services customers, deepening hirify.global platform adoption by designing end-to-end AI solutions and guiding production deployment of deep learning and LLM workloads. Focus on solving complex, often novel technical challenges across the AI lifecycle—model development, evaluation, governance, observability, and performance/cost optimization—while translating customer needs into product and engineering roadmaps.

Location: Canada

Salary: $143,000–$210,000 (base)

Company

hirify.global provides an AI-first cloud platform built for running and scaling AI workloads.

What you will do

• Act as the named solutions architect and primary technical point of contact for financial services customers across the hirify.global AI platform.
• Identify new use cases, map customer workloads to platform capabilities, and design end-to-end solutions to drive expansion and long-term value.
• Work hands-on with customer teams to train, fine-tune, evaluate, and deploy deep learning and LLM-based workloads into reliable production systems.
• Advise on the AI lifecycle: model development, research workflows, experimentation, evaluation, deployment, governance, observability, and optimization for performance and cost.
• Diagnose and resolve complex, novel technical issues in partnership with enterprise engineering teams and internal hirify.global engineering.
• Create and deliver architecture recommendations, demos, workshops, and executive-ready presentations to help customers scale AI workloads.

Requirements

• 4+ years of experience in solutions engineering, AI-oriented solutions consulting, or technical field engineering.
• Hands-on proficiency in Python for training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures.
• Experience designing and deploying production LLM-powered applications for real customer use cases.
• Experience working with financial services customers and understanding their technical, operational, and business-critical requirements.
• Familiarity running AI workloads on at least one major cloud platform (AWS, GCP, or Azure).
• Ability to break down and solve complex, ambiguous technical problems and communicate clearly with both engineering and executive stakeholders.

Nice to have

• Knowledge of cloud infrastructure for AI workloads (GPU compute, high-performance networking, storage).
• Experience with deep learning frameworks and LLM tooling (e.g., PyTorch, vLLM, LangChain, LlamaIndex).
• Experience with Slurm or Kubernetes for ML job orchestration at scale.
• Experience with hyperparameter optimization and experiment tracking tools.
• Background in ML Engineering, AI Engineering, MLOps, or LLMOps.
• Experience in technical pre-sales/solutions architecture for net-new or greenfield accounts.

Culture & Benefits

• Medical, dental, and vision insurance covered 100% by hirify.global.
• 401(k) with a generous employer match, flexible PTO, and paid parental leave.
• Health Savings Account and Flexible Spending Account.
• Tuition reimbursement and participation in an Employee Stock Purchase Program (ESPP).
• Life insurance, disability insurance, and mental wellness benefits (Spring Health).
• Casual work environment with a focus on innovative disruption.

Hiring process

• Interviews to assess technical fit, communication, and experience with AI/LLM solutions for enterprise customers.
• Evaluation of alignment with customer-facing solutions architecture and pre-sales/field engineering responsibilities.