
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.
🕒 Maio 22
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $230.000 - $300.000 / ano
⏰ Tempo Integral
🔴 Especialista
🤖 Inteligência Artificial
👻 Score fantasma 17%
🗣️🇺🇸🇬🇧 Inglês obrigatório
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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.
• Architect and build enterprise AI solutions • Lead technical delivery across client engagements • Establish production-grade AI engineering standards • Partner across strategy, business, and technical teams • Mentor teams and build the AI Services practice
• Typically 7–12+ years of experience in software engineering, ML engineering, applied AI, data science engineering, AI solution architecture, technical consulting, or enterprise technology delivery. • Strong hands-on engineering experience, especially with Python, APIs, cloud-native development, data integration, workflow automation, and enterprise system integration. • Experience designing, building, and deploying production-grade AI, GenAI, ML, automation, or advanced analytics solutions. • Practical familiarity with AI solution patterns such as RAG, LLM application design, agentic workflows, orchestration, model integration, vector databases, evaluation, guardrails, and observability. • Strong understanding of modern engineering practices, including CI/CD, automated testing, version control, containerization, monitoring, reliability, security, and scalable deployment. • Ability to lead technical teams, review designs and code, mentor engineers, and drive delivery quality across complex workstreams. • Strong client-facing communication skills, including the ability to explain technical trade-offs clearly to engineering teams, executives, and non-technical stakeholders. • Ability to operate in ambiguous environments, structure technical problems, make sound architecture decisions, and guide teams toward practical outcomes. • Experience in applied AI consulting, advanced analytics consulting, ML engineering, AI product development, or enterprise AI platform delivery. • Background from a high-performing consulting, technology, AI, cloud, data, or software engineering organization. • Experience with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Kubernetes, or similar enterprise platforms. • Experience with LLM frameworks, orchestration tools, vector databases, model serving, ML platforms, or AI governance tooling. • Experience moving AI solutions from prototype or pilot into production environments. • Experience supporting technical pre-sales, solution shaping, architecture proposals, or executive-level technical advisory. • Advanced degree in computer science, engineering, data science, applied mathematics, or a related field is a plus.
• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
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