Edtech.com's Summary

Georgia Institute of Technology is hiring an Artificial Intelligence & Automation Architect to design the cloud, integration, and security architecture behind the Institute's enterprise AI and automation platform. The architect turns AI governance requirements into enforceable standards and technical controls that keep academic, research, student, and administrative uses of AI secure and compliant. Day to day, the role leads architecture reviews, weighs new AI and cloud technologies against documented criteria, and coaches colleagues on responsible AI and automation design.

Highlights

Design cloud, integration, and platform architecture standards that connect AI, machine learning, and automation solutions to enterprise data, systems, and applications.
Define the identity, access, network isolation, encryption, secrets management, and data-loss prevention controls for the enterprise AI and automation platform.
Build technical safeguards against AI-specific risks such as prompt injection, sensitive-data exposure, insecure tool use, excessive agent permissions, and model or supply-chain compromise.
Architect retrieval-augmented generation and data pipeline strategies so AI tools can use Institute data accurately and in line with data governance standards.
Evaluate AI, cloud, integration, and automation technologies against documented criteria for security, privacy, accessibility, risk, supportability, and cost.
Lead design sessions and architecture reviews that align AI and automation solutions with institutional goals, stakeholder needs, and approved standards.
Oversee architecture assessments covering platform capacity, performance, resilience, disaster recovery, scalability, and observability requirements.
Requires a bachelor's degree in a related discipline or equivalent related experience, plus six or more years of relevant experience.
Preferred background includes a master's degree, production AI or agentic AI architecture work, and hands-on cloud experience with AWS, Azure, or Google Cloud.
The posted salary range is $129,000 to $180,000, depending on experience and preferred skills.

Artificial Intelligence & Automation Architect Full Description

Location

Atlanta, GA - In office. On-site

Job Summary

The AI and Automation Architect is responsible for designing, governing, and advancing the architectural frameworks, platforms, integration patterns, and technical controls that enable secure, scalable, and responsible artificial intelligence and intelligent automation across the Institute. This role establishes enterprise architecture standards, governance practices, and lifecycle controls that support academic, research, student, and administrative initiatives while ensuring alignment with institutional requirements for data governance, privacy, cybersecurity, accessibility, compliance, reliability, and risk management.

This position is at the level of Lead Professional, emphasizing enterprise-scale architecture and deep technical expertise that informs and enables institutional AI, data, governance, and platform strategies set by senior leadership. For more information on this level, please visit URL https://publish.smartsheet.com/4a3a97a4b2154516ae722437d46fa038

Responsibilities

Design cloud, integration, and platform architecture standards that connect AI, machine learning, and automation solutions with enterprise data, systems, and applications.
Define and maintain security architecture and controls: identity, access, network isolation, encryption, secrets management, and data-loss prevention for the enterprise AI and automation platform.
Implement technical safeguards against AI-specific risks, including prompt injection, sensitive-data exposure, insecure tool use, excessive agent permissions, model or supply-chain compromise, and unauthorized AI services.
Evaluate AI, cloud, integration, and automation technologies using documented criteria for capability, security, privacy, accessibility, risk, supportability, continuity, and cost.
Architect data retrieval and grounding strategies, including retrieval-augmented generation and data pipelines, that allow AI and automation tools to consume Institute data accurately and securely, in alignment with data governance standards.
Lead collaborative design sessions and architecture reviews to align AI and automation solutions with institutional goals, stakeholder needs, and approved architecture standards.
Translate AI governance requirements into enforceable architecture standards, documentation practices, technical controls, and lifecycle processes for AI models, automation workflows, and integration components.
Provide technical guidance, mentoring, and training on cloud, AI, and automation architecture practices, and maintain current knowledge of emerging technologies.
Oversee architecture assessments and define platform requirements for capacity, performance, resilience, disaster recovery, scalability, service objectives, and observability for the enterprise AI and automation platform.
Perform other duties as assigned.

Required Qualifications

Educational Requirements

Bachelor's degree in related discipline or equivalent, related experience

Required Experience

6+ years of relevant experience

Preferred Qualifications

Preferred Educational Qualifications

Master's degree in related discipline or equivalent, related experience

Preferred Experience

Experience designing or operating production AI, machine learning, generative AI, or intelligent automation capabilities in a complex organization.
Experience architecting agentic AI systems, including tool integration, orchestration, and human oversight controls.
Experience with major cloud platforms (e.g., AWS, Azure, Google Cloud) and enterprise API or integration frameworks.
Experience establishing architecture standards, reference architectures, or review processes adopted across multiple teams.
Experience translating governance, security, privacy, or compliance requirements into technical controls and auditable evidence.
Experience supporting higher education, research, healthcare, government, or large enterprise environments.

Proposed Salary

$129,000 to $180,000 depending on experience and preferred skills.

Knowledge, Skills, & Abilities

Strong knowledge of enterprise and solution architecture principles, including distributed systems, integration patterns, and reference architecture design.
Strong understanding of how AI models and agents behave in production, including non-deterministic outputs, failure modes, evaluation methods, and performance variability.
Strong understanding of identity, authorization, and least-privilege principles as they apply to non-human actors such as service accounts, automations, and AI agents.
Working knowledge of data architecture concepts, including modeling, metadata, lineage, and categorization, sufficient to partner with data engineering, data platforms, and governance teams.
Working knowledge of privacy, accessibility, and records management obligations as they translate into system design constraints.
Knowledge of cloud consumption and cost models sufficient to design solutions that are financially transparent and sustainable at scale.
Ability to design architectures that accommodate rapid change in models, vendors, and tooling while minimizing lock-in and rework.
Ability to weigh competing tradeoffs across security, usability, cost, and speed of delivery, and to document decisions and rationale clearly.
Ability to earn credibility with engineering, security, privacy, data, and governance partners and to drive adoption of standards without direct authority.
Excellent written and verbal communication skills, with the ability to explain architectural and risk tradeoffs to executive and non-technical audiences.
Strong analytical, problem-solving, and organizational skills, with discretion in handling sensitive information.

Other Information

This is not a supervisory position.
This is a position of trust (access to sensitive data).
This position will not be required to drive an Institute vehicle.
This position will not be required to travel.
This position does not have any direct financial responsibilities.
This position does not require a purchasing card (P-Card).
This position does not require security clearance.

Background Check

Successful candidate must be able to pass a background check.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services.

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