Full-Time GenAI Solution Architect

Assent is seeking a GenAI Solution Architect to lead the design, governance, and technical delivery of AI-powered solutions.

This role reports to the Senior Director, Technology & Data Solutions and provides architectural direction to GenAI Developers.

The ideal candidate combines technical expertise, strong architectural judgment, and the ability to influence and collaborate.

Architecture & Solution Design

• Lead the design of production-grade GenAI solutions.
• Develop and maintain reusable patterns, reference architectures, design standards, and code templates.
• Provide solution design leadership and architectural oversight for all AI initiatives.
• Evaluate emerging LLM capabilities and guide model selection, integration strategy, and implementation approach.

Engineering Leadership

• Provide technical guidance, oversight, training, and enablement to GenAI program developers.
• Translate solution designs into clear engineering specifications and development plans.
• Oversee code quality, development workflows, testing strategies, and deployment processes.
• Ensure solutions include monitoring, auditability, fallback paths, and long-term maintainability.

Governance & Responsible AI

• Implement technical guardrails for secure data handling, privacy, PII isolation, logging, and responsible AI usage.
• Govern citizen-developer activity and ensure consistency with enterprise standards.
• Partner with Security, Privacy, Legal, and Data Governance to identify risks and ensure compliance.

Cross-Functional Collaboration

• Collaborate with business stakeholders to refine use cases, assess feasibility, and translate operational needs into technical workflows.
• Support the AI Champions ecosystem with patterns, guidance, and technical enablement.
• Contribute to roadmap planning, intake, and prioritization for enterprise AI initiatives.
• Work closely with Enterprise Integrations, Data engineering, and Enterprise Architecture.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in technical roles with demonstrated progression.
• Demonstrated experience designing and deploying production-grade LLM applications.
• Strong proficiency in Python.
• Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, or DSPy.
• Solid understanding of cloud platforms (AWS preferred).
• Experience designing secure and responsible AI solutions.
• Ability to translate business needs into clear architectural designs.
• Proven experience providing technical guidance to developers.
• Excellent communication and collaboration skills.

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