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Solution Architect, Agentic AI

Job in Newton, Middlesex County, Massachusetts, 02165, USA
Listing for: Aquant
Full Time position
Listed on 2026-04-25
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Location

Newton, MA

Employment Type

Full time

Location Type

Hybrid

Department

Customer Success

Aquant is the Agentic AI platform purpose-built for service organizations that maintain complex equipment. Unlike generic AI tools, Aquant combines domain expertise with intelligent agents that capture and apply institutional knowledge across service teams. By analyzing service data, from manuals to technician notes, Aquant improves troubleshooting, accelerates training, reduces costs, and transforms service into a revenue driver. Learn more ant.ai

We are looking for a Solution Architect who can translate customer pain points into AI agents, workflows, and scalable solution designs. This is a customer-facing role at the intersection of solution architecture, solution engineering, AI design, and software project management.

You will partner with customers and cross-functional internal teams to understand business problems, shape technical solutions, guide proofs of concept, support implementation, and drive measurable outcomes. The ideal candidate is equally strong in consultative discovery, technical architecture, stakeholder communication, and delivery execution.

What you’ll do
  • 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.
What we’re looking for
  • 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.
Bonus points
  • Experience in field service, manufacturing, industrial equipment, medical…
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