AI Architect

Verinext

9d•Remote

About The Position

A growing, technology-driven professional services organization is seeking an AI Architect to join its team. This role is a senior technical and strategic leadership position responsible for driving the organization’s AI vision from concept through commercialization. The AI Architect will design and implement AI systems, lead development teams, guide enterprise AI architecture, and partner closely with executive leadership and business stakeholders to identify opportunities, drive adoption, and deliver measurable business value. This role blends deep hands-on technical expertise with product strategy, business alignment, and organizational leadership. Experience deploying AI solutions at scale in real-world production environments is essential. Experience in legal services, litigation support, medical records, insurance, or other regulated industries is a strong plus.

Requirements

8+ years of professional experience in AI/ML engineering, data science, or software architecture
Proven track record designing, deploying, and maintaining AI products in production environments
Strong hands-on experience with modern AI stacks, including: Large Language Models (LLMs) Vector databases and embedding systems Orchestration frameworks and MLOps tooling
Deep knowledge of cloud platforms (AWS, Azure, or GCP) and containerized environments
Experience leading engineering teams or complex technical initiatives
Ability to partner closely with executive leadership and communicate technical concepts clearly
Strong understanding of data governance, security, and compliance in regulated or sensitive data

Nice To Haves

Experience in legal services, litigation support, medical records, insurance, or other regulated industries is a strong plus.

Responsibilities

Define and own the organization’s AI systems architecture, including model selection, data infrastructure, orchestration, and deployment pipelines
Design scalable, secure, and compliant AI solutions across the enterprise
Establish development standards, MLOps best practices, and governance frameworks for responsible AI
Architect, prototype, and deliver AI/ML applications, including: Document processing and summarization tools Scheduling and workflow automation Proprietary analytics and decision-support systems for complex data domains
Oversee model fine-tuning, prompt engineering, data pipelines, evaluation frameworks, and performance monitoring
Review and guide technical work across the AI engineering team
Collaborate with executives, sales, operations, and product teams to identify high-impact AI opportunities
Translate business challenges into technical solutions with clear ROI and measurable outcomes
Communicate complex AI concepts clearly to non-technical stakeholders
Drive cross-functional adoption of AI systems through training, change management, and solution evangelism
Manage, mentor, and grow an AI engineering team, providing technical guidance, performance oversight, and career development
Promote a culture of experimentation, accountability, and continuous learning
Collaborate with engineering, product, and data teams to ensure coordinated delivery
Lead the full lifecycle of AI products, from ideation and scoping through deployment and iteration
Ensure solutions meet enterprise standards for security, privacy, and data integrity (e.g., PHI, PII, HIPAA, as applicable)
Measure business impact, track adoption, and ensure reliable performance at production scale