Solution Architect, Agentic AI

Role Overview

• Translate customer pain points into AI agents, workflows, and decision-support experiences that solve real business problems.
• Design end-to-end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human-in-the-loop workflows, and deployment approach.
• Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly.
• Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption.
• Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment.
• Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non-technical audiences.
• Drive measurable business outcomes such as faster time to resolution, improved first-time fix, increased remote resolution, stronger adoption, and better customer experience.
• Create reusable implementation assets, reference architectures, playbooks, and industry-specific patterns that improve repeatability and speed.
• Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Requirements

• 7+ years of experience in Solution Architecture, Solution Engineering, Sales Engineering, Technical Consulting, Forward Deployed Engineering, Enterprise Implementation, or a related customer-facing technical role.
• Proven experience translating customer business problems into technical solution designs.
• Demonstrated experience with AI / GenAI / LLM-based solutions, including agentic workflows, agent building, prompt design, retrieval-based systems, orchestration, or workflow automation.
• Strong background in solution engineering / architecture for enterprise software environments.
• Strong background in customer-facing work, including discovery workshops, executive communication, technical presentations, and stakeholder management.
• Strong technical foundation in databases, SQL, and scripting (e.g., Python), with the ability to understand code and system behavior and collaborate effectively with engineering teams on AI/GenAI solutions.
• Experience owning or heavily influencing software project management, including scope, delivery planning, risk management, cross-functional coordination, and implementation governance.
• Strong understanding of APIs, integration patterns, enterprise systems, and data flows.
• Solid technical foundation, including working knowledge of databases, SQL, and scripting (e.g., Python or similar). Comfortable understanding code, data structures, and system behavior, and able to engage meaningfully with engineering teams in the context of modern GenAI-driven solutions.**Ability to balance strategic design with hands-on problem-solving and prototyping.
• Excellent written and verbal communication skills.

Tech Stack

• Python
• SQL

Benefits

• We’ve got you covered: From medical, dental, vision, life, and 401k match & retirement, we’re here to support your physical, mental, and financial well-being.
• Support yourself and those you love: We offer parental leave to full-time employees across all Aquant locations.
• Vacation your way: We want to make sure you have time to meet your personal needs with generous PTO and flexible vacation planning.
• Everyone is an owner: We want everyone to feel ownership over their work and what we are building here, which is why we offer equity to full-time employees.
• Build your career: Every Aquant employee is in control of their career development with our learning stipends, tools, and training.