Senior Technical Consultant – AI Platform Engineer

🕒 Agosto 25

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

👻 Score fantasma 11%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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AHEAD

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 $5.697.750 Venture Round - AHEAD em 2024-05

Consulting • Artificial Intelligence • Enterprise

Thinkahead é uma empresa de psicologia de capital privado que atua tanto no campo clínico (atendimento particular) quanto no espaço corporativo de consultoria.

Descrição

• Lead customer workshops, technical discovery, architecture discussions, and solution design • Design and implement scalable platforms for cloud-native applications, data platforms, infrastructure services, and AI-enabled workloads • Lead cloud migration and cloud platform modernization assessments, planning, architecture, execution, and transition activities • Design migration strategies, landing zones, modernization roadmaps, workload waves, cutover plans, and operational handoffs • Build reusable platform patterns, automation, self-service workflows, developer tooling, and golden paths • Lead AI-accelerated development initiatives integrating AI tools into customer software development lifecycles, engineering workflows, and delivery practices • Drive organization-wide AI enablement through assessments, pilots, training, playbooks, governance, adoption roadmaps, and measurement frameworks • Use AI coding assistants and agentic development tools for prototyping, coding, testing, debugging, refactoring, and documentation • Apply human review and engineering standards to validate AI-generated code and solutions • Develop Infrastructure as Code, CI/CD pipelines, GitOps workflows, and cloud automation • Work with containers, Kubernetes, APIs, event-driven systems, observability, security, and cloud-native architectures • Apply LLM, RAG, agent, vector database, model API, and AI application integration patterns • Support platform security, governance, reliability, operational readiness, and cost optimization • Create reusable accelerators, technical documentation, demonstrations, and reference architectures • Mentor engineers and contribute to internal technical communities and enablement • Participate in proposals, estimates, technical presentations, and pre-sales activities

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience • 8+ years of professional IT experience • 4+ years of experience in cloud, platform engineering, DevOps, automation, application modernization, or related areas • Hands-on experience with AWS, Azure, and/or Google Cloud • Experience delivering cloud migration and cloud platform modernization initiatives, including assessment, planning, dependency analysis, landing zones, migration waves, cutover, and validation • Experience with Terraform, Bicep, or another Infrastructure as Code technology • Experience with CI/CD, containers, Kubernetes, automation, and cloud-native application patterns • Strong scripting or programming skills in Python, PowerShell, Bash, or a comparable language • Practical experience using AI coding assistants or agentic development tools • Understanding of LLMs, generative AI applications, RAG, prompt engineering, agents, and model APIs • Ability to review, secure, test, and productionize AI-generated code • One or more relevant professional certifications, such as CKA, CKAD, AWS Certified Solutions Architect, AWS Certified AI Practitioner, Microsoft Azure certifications, NVIDIA AI/Generative AI/AI infrastructure certification, Claude Certified Architect, or equivalent AI architecture certification • Strong consulting, communication, technical writing, and customer-facing skills

🏖️ Benefícios

• Comprehensive health insurance coverage for employees, with options to extend coverage to dependents • Paid time off and company holidays, along with additional leave benefits as per policy • Flexible work arrangements, supporting work-life balance • Learning and development opportunities to support continuous growth and upskilling • Employee wellness initiatives and programs focused on physical and mental well-being • Retirement and statutory benefits in line with India regulations • Inclusive and people-first culture, with a strong focus on collaboration and ownership • Cross department training and development • Sponsored certifications and credentials for continued learning • Multi-million-dollar technology lab