{"id":1360725,"url":"https://alion.io/job/gt-law-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":1761387,"name":"Greenberg Traurig","domain":"gtlaw.com","url":"https://alion.io/company/gtlaw","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":62,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States","Austin, United States","Houston, United States","Dallas, United States","Orlando, United States","Tallahassee, United States","Fort Lauderdale, United States","Phoenix, United States","Charlotte, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":242000,"max_usd":459000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":817},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-17T00:00:00Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-01T14:30:08Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":76},"description":"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.\nJoin our Technology Team as an AI Platform Engineer located in various offices.\nWe 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.\nThis role can be based in various offices, on a hybrid basis. This role reports to the Director of Enterprise Content and Cloud Services.\nPosition Summary\nThe AI Platform Engineer is a member of the AI & Data Platform Enablement team responsible for defining the firm’s reusable AI patterns and managing the multi-cloud platform on which AI solutions are built and deployed. This role owns the deployment and lifecycle management of AI models across the firm’s Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI environments and establishes standards for retrieval-augmented generation (RAG), orchestration, APIs, and vector strategies. The AI Platform Engineer also manages the infrastructure that supports AI agents, including agent frameworks and associated vendor platforms. The AI Platform Engineer collaborates with Cloud Services, AI Development, Information Security, and third-party vendors to ensure AI is built once and reused consistently across the firm.\nKey Responsibilities\nManages the firm’s AI control plane including deployment, versioning, and lifecycle of AI models across the firm’s multi-cloud environments, including Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI\nDesigns and manages the infrastructure supporting AI agents, including agent orchestration frameworks, runtime environments, and the controls around them\nDefines and maintains reusable AI architecture patterns including RAG, orchestration, prompt management, API design, and vector store strategies. Packages them as components solution teams can reuse\nProvides telemetry, logging, and audit data required for AI governance oversight\nServes as a technical point of contact for AI platform vendors, partners, and internal teams in support of proofs of concept, integration, and operationalization\nBuilds and maintains vector stores, embedding pipelines, and retrieval services used in AI solutions\nEstablishes consistent CI/CD, environment, and infrastructure-as-code patterns for deploying and promoting AI workloads\nCollaborates with Information Security to ensure model deployments, agents, and platform services meet firm security, privacy, and compliance requirements\nEvaluates models, frameworks, and platform services across Azure, AWS, and GCP and recommends fit-for-purpose options balancing capability, cost, and risk\nImplements cost-management and capacity practices for AI workloads across cloud providers\nProvides technical leadership, mentorship, and guidance to developers and solution teams\nParticipates as a member of the AI Architectural Review Board to ensure AI solutions meet firm requirements\nReviews existing AI implementations and recommends opportunities for better standardization, consolidation, or re-architecture\nAuthors and maintains platform documentation, reference architectures, and standard\nCreates and delivers technical presentations and training to technical and non-technical audiences\nAppears on camera for meetings with colleagues and vendors\nPerforms other duties as assigned by management\nQualifications\nSkills & Competencies\nWorking knowledge of Azure AI Foundry/Azure OpenAI, AWS Bedrock, and/or Google Vertex AI model deployment and management\nFamiliarity with AI agent frameworks and the infrastructure required to run and govern agents in production\nProficiency with infrastructure-as-code (Terraform), containers (Docker, Kubernetes), and CI/CD pipelines\nStrong scripting and development skills in Python, PowerShell, and/or other languages, including REST API design and integration\nSolid understanding of cloud networking, identity, security, and cost-management fundamentals\nDemonstrated ability to evaluate and manage third-party AI vendors and platform\nAbility to communicate complex technical concepts clearly to technical and business audiences\nStrong attention to detail with solid time and project management skills\nSelf-motivated, able to work independently, and comfortable operating in a shared services model\nEducation & Prior Experience\nBachelor’s degree in computer science, information technology, or equivalent practical experience\n7+ years of experience in platform engineering, cloud solutions, or machine learning/AI engineering roles\n3+ years of hands-on experience deploying or operating AI/ML workloads in a major cloud environment\nDemonstrated experience with multi-cloud platforms \n(Azure, AWS, GCP) and AI model deployment\nStrong hands-on experience deploying and managing AI/ML or large language models in at least one major cloud (Azure, AWS, or GCP); multi-cloud experience strongly preferred\nExperience designing AI architecture patterns including RAG, orchestration frameworks (e.g., Semantic Kernel, LangChain), and vector databases\nCertifications in Azure, AWS, GCP, or AI/ML specialties preferred\nExperience working in a professional services organization strongly preferred. Law firm experience a plus\nGT 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.","description_format":"text","description_chars":6113,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Legal Services"],"lifecycle":[{"event":"open","at":"2026-09-27T23:49:02Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.492,"p_room":0.36,"age_days":76,"expected_fill_days":49,"reasons":["conf:11","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gt-law-ai-platform-engineer","json_url":"https://alion.io/job/gt-law-ai-platform-engineer.json","meta":{"generated_at":"2026-10-01T18:17:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":547,"day_limit":5000,"remaining_today":4453,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}