AI Platform Engineer

Greenberg Traurig (GT), a global law firm with locations across the world in 15 countries, has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package, along with the opportunity to work within an innovative and collaborative environment. Join our Technology Team as an AI Platform Engineer located in various offices. We are seeking a professional who thrives in a fast-paced, deadline-driven environment. The ideal candidate possesses strong problem-solving and decision-making abilities, ensuring efficiency and accuracy in every task. With a dedicated work ethic and a can-do attitude, you will take initiative and approach challenges with confidence and resilience. Excellent communication skills are essential for collaborating effectively across teams and delivering exceptional client service. If you are someone who demonstrates initiative, adaptability, and innovation, we invite you to join our team. This role can be based in various offices, on a hybrid basis. This role reports to the Director of Enterprise Content and Cloud Services. Position Summary: The AI Platform Engineer builds, automates, and operates shared cloud AI services for the firm’s AI development and solution teams. Working primarily in Microsoft Azure, the engineer owns AI platform configuration, hosted model deployments and endpoints, access controls, observability, capacity, costs, and production readiness, with additional responsibility for approved AI services in AWS, Google Cloud, and vendor environments. The role provides secure, reusable capabilities for AI applications and agents and partners with Data Engineering on governed access to enterprise information. This is a hands-on platform engineering and operations role, not a model-training or application feature-development role. Key Responsibilities: Builds and operates shared AI platform services, primarily in Azure, including model deployments, endpoints, configuration, upgrades, and retirement of model versions and services. Develops reusable automation for provisioning, model deployment, access configuration, and monitoring using version-controlled infrastructure-as-code, scripts, and controlled deployment pipelines. Monitors availability, latency, errors, and utilization; troubleshoots identity, networking, quota, and service issues; and leads platform incident response and vendor escalation. Maintains platform inventories, telemetry, audit records, and operational reporting, protecting client and firm information in logs under approved data-handling and retention requirements. Partners with security, cloud, identity, privacy, governance, and engineering teams to implement approved identity, least-privilege access, network-access, secrets-management, and logging controls. Builds secure, reusable platform access patterns for approved enterprise data and knowledge sources, preserving source permissions and implementing approved confidentiality controls. Establishes usage attribution, quota controls, budget monitoring, and capacity reporting; optimizes consumption, deployment choices, and cost without compromising service requirements. Defines service health indicators, alerting, runbooks, rollback procedures, and production-readiness criteria; tests changes before release and maintains lifecycle and recovery plans. Authors technical standards, reference architectures, and operational documentation; participates in architecture reviews and delivers training and technical guidance to solution teams. Serves as a technical advisor to vendors, stakeholders, and solution teams and provides guidance on platform design and operations. Appears on camera for meetings with colleagues and vendors. Performs other duties as assigned by management. Qualifications: Skills & Competencies Strong Azure platform engineering skills and understanding of managed AI services, including model deployments, endpoint authentication, quotas, versioning, and lifecycle management. Strong production operations skills, including observability, alerting, incident response, root-cause analysis, change management, capacity planning, and recovery. Ability to build and maintain reusable infrastructure-as-code using tools such as Terraform or Bicep and adopt the firm’s approved tooling and engineering standards. Proficiency in Python and/or PowerShell for API-driven provisioning, configuration, operational automation, and troubleshooting. Experience with Git, code review, and CI/CD pipelines, including testing, deployment approvals, secure configuration, and rollback. Practical knowledge of Entra ID, managed identities, service principals, secrets management, private connectivity, DNS, and least-privilege access. Understanding of APIs, search, indexing, and retrieval patterns sufficient to enable platform integration and troubleshoot with data and application engineers. Understanding of governed data access, source permissions, confidentiality, and safeguards for sensitive information in platform telemetry. Ability to analyze usage attribution, cost, performance, quotas, and capacity and implement practical optimization and cost-control measures. Strong problem-solving, documentation, communication, and delivery skills; ability to collaborate with vendors and technical and non-technical stakeholders. Education & Prior Experience Bachelor’s degree in computer science, information technology, or equivalent practical experience. 5+ years of experience in platform engineering, cloud engineering, site reliability engineering, or AI infrastructure roles. Hands-on experience building and operating Microsoft Azure services in an enterprise production environment, including deployment, troubleshooting, and lifecycle management. Production experience operating at least one managed AI or large language model platform, such as Azure AI Foundry, Azure OpenAI, or an equivalent service. Demonstrated delivery of infrastructure-as-code, Python and/or PowerShell automation, and Git-based controlled deployment pipelines. Experience with AWS Bedrock, Google Vertex AI, or comparable platforms preferred. Docker/Kubernetes experience and relevant cloud or AI certifications are a plus. Experience working in a professional services organization strongly preferred. Law firm experience a plus. Physical Requirements: While performing the duties of this job, the employee is occasionally required to move from workstation or desk, throughout the work area to work independently or with a team, to meet with colleagues or supervisor and retrieve work assignments. This position may also be sedentary and require the employee to sit for extended periods of time. Requires manual dexterity to dial a telephone, enter data into a computer, handle objects and operate tools. GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individual’s race, sex, or other protected characteristics and to the principles of non-discrimination on any protected basis. Global scale with street smarts With 51 locations, Greenberg Traurig's global network provides the platform clients need to operate in today's legal marketplace. Our team is recognized by rankings in current Chambers & Partners Guides in jurisdictions and practices around the world, based on thousands of interviews with practicing lawyers and clients. In addition, Greenberg Traurig is proud to have more lawyers listed in The Best Lawyers in America than any other law firm, a position we have held since 2008. Greenberg Traurig (GT) is committed to ensuring a safe and transparent recruitment process. Please be advised of the following: Official Job Listings: All legitimate job opportunities with GT are posted here on our official website. GT job advertisements found outside our verified accounts with Lateral Hub, LinkedIn, Glassdoor, and Indeed should be treated with caution. No Fees Required: GT will never ask for payment for work equipment or network access. Also, there are no application fees. We do not ask for bank information or any form of monetary or financial compensation during the recruitment process. All job offers will be preceded by an interview with our hiring team. Verified Communication Only: While all official communications will come from a GT email address associated with GT’s domain (e.g., @gtlaw.com), we recognize that it is easy to spoof such communications to make them look like they are coming from GT. Therefore: before responding to an email purportedly from GT, contact your GT Recruiting Contact by phone to verify that the email is valid. Also, please verify the GT office address on our website before attending an interview. We encourage all applicants to remain vigilant and exercise caution during the application process. If you encounter or suspect a fraudulent job posting or an individual falsely claiming to represent GT, please report it immediately to HRRecruit@gtlaw.com. Thank you for your diligence and for your interest in joining Greenberg Traurig. From our humble beginnings in 1967 in South Florida, our focus has never been changed: serve clients better. Learn More Engagement, Culture & Opportunity Since 1967, we’ve built our firm by welcoming attorneys and professionals from all backgrounds who share our drive and commitment to excellence. GT thrives on the passion and drive of our people, emphasizing merit, innovation, belonging, and collaboration first. This commitment has been at the center of our story since our founding and has been essential to our and our client’s success. Learn More We are thankful for the trust our clients place in us and we are proud of being recognized for the service we provide. Learn More If you need a reasonable accommodation as part of the employment selection process, please contact us by sending an email to hrrecruit@gtlaw.com. In your email please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. 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