Sr IS Architect

SYSTEMTEC•Columbia, SC

1d•Hybrid

About The Position

SYSTEMTEC is seeking a Sr. IS Architect for a hybrid opportunity for candidates in Columbia, SC. Candidate will provide senior-level architecture leadership for the secure adoption and integration of artificial intelligence solutions across a complex enterprise environment. The role will translate AI security, privacy, risk, and compliance requirements into practical architecture standards while partnering with technology, business, governance, and security stakeholders.

Requirements

Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship or work with Third-Party agencies.
Bachelor's degree in Computer Science, Business, Engineering, or a related field; alternatively, 4 years of relevant work experience or 2 years of relevant experience plus an associate's degree in one of these disciplines.
9+ years of professional IT experience.
Proven experience leading joint Information Systems and business teams through complex strategic initiatives and business challenges.
Extensive understanding of enterprise application or systems architecture, development methodologies, technology standards, and integration practices.
Demonstrated ability to evaluate architecture options, technical risks, business impacts, costs, and benefits.
Strong negotiation, decision-making, problem-solving, and stakeholder management abilities.
Excellent verbal and written communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Demonstrated ability to lead multidisciplinary teams within a matrixed organizational environment.
Ability to develop strong collaborative relationships across architecture, development, security, governance, business, and senior management organizations.

Nice To Haves

10+ years of experience spanning business systems and enterprise architecture.
Experience with AI security architecture, AI governance, responsible AI, or secure implementation of AI technologies.
Experience developing security architecture standards, reference architectures, control requirements, and secure design patterns.
Experience performing AI or application threat modeling, including risks such as prompt injection, data exposure, unauthorized access, insecure integrations, machine identity risks, and AI-enabled impersonation.
Knowledge of data governance, privacy, identity and access management, vendor risk, security operations, compliance, and audit requirements.
Experience evaluating software products, technology platforms, vendor solutions, and complex system integrations.
Experience producing architecture documentation, technical whitepapers, standards, and implementation guidance.
Completion of SACP and/or PMCP courses is preferred.
Experience mentoring architects, developers, and other technical professionals.
Strong understanding of enterprise integration across multiple platforms, operating systems, applications, and environments.

Responsibilities

Establish and maintain enterprise AI security architecture standards, reference models, minimum security controls, secure design patterns, and implementation guidance for AI tools, models, applications, integrations, connectors, and related technologies.
Evaluate proposed AI and application solutions to assess data protection, access controls, encryption, logging, monitoring, retention, output handling, integration security, and overall architectural alignment.
Lead threat-modeling activities for high-priority AI use cases and technology providers, identifying potential risks and recommending appropriate safeguards.
Provide senior-level architectural guidance and technical oversight for complex projects, application initiatives, R&D efforts, vendor evaluations, and enterprise technology changes.
Review system software and hardware designs, assess architecture alternatives and associated risks, and provide recommendations that support business objectives and enterprise technology standards.
Serve as a senior technical advisor, decision maker, and escalation point while mentoring technical teams, communicating architectural direction, and ensuring solutions are successfully integrated into the broader enterprise environment.