AI Solution Engineer

🕒 Agosto 24

🏈 Alabama, Arizona, +41 estados a mais – Remoto

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $150.000 - $170.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 5%

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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AmeriLife

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1973

🏥 Saúde

💼 Consultoria

💸 Finanças

💰 Secondary Market em 2022-06

Healthcare • Consulting • Finance

A AmeriLife é uma das principais organizações independentes de marketing e uma consultora de investimentos registrada nos Estados Unidos. Oferece soluções abrangentes de seguros e financeiras para agentes, consultores e consumidores, com o objetivo de ajudar as pessoas a viverem vidas mais longas e saudáveis. A AmeriLife colabora com inúmeras seguradoras, organizações de marketing financeiro (FMOs) e especialistas do setor para fornecer soluções de saúde e financeiras a milhões de americanos anualmente. Com uma vasta rede de mais de 300. 000 agentes e consultores focados no cliente, a AmeriLife oferece soluções e ferramentas de tecnologia avançada, como o Agent Xcelerator®, para melhorar a qualidade do serviço e o crescimento dos negócios. Seu compromisso com a liderança é evidente na sua extensa rede de distribuição e oportunidades de parceria inovadoras.

Descrição

• Design, build, evaluate, and ship multi-step AI agents and LLM-powered services into production • Build AI agents that retrieve governed data, call internal APIs and tools, make bounded decisions, and escalate to humans • Engineer tool/function definitions, retrieval and grounding, state and memory, orchestration, retries, failure handling, cost, and latency management • Build golden datasets, offline and online evaluations, regression suites, human-in-the-loop review, and guardrails • Instrument and operate production systems with tracing, monitoring, drift and quality alerting, and clear ownership • Create reusable components for the shared services catalog • Partner with vertical leaders to identify and shape high-value use cases • Translate business problems into solution designs and establish reference architectures and preferred patterns • Advise on build-versus-buy and whether an agent, model, rule, or fixed process is appropriate • Build and validate forecasting, propensity, segmentation, and anomaly-detection models • Engineer Lakehouse features and pipelines serving models and agents • Design baselines, holdouts, A/B tests, quasi-experimental measurements, and defensible outcome evaluations • Communicate technical results to engineers and distribution executives • Document intended use, limitations, training-data assumptions, testing, and monitoring plans • Maintain the model inventory and apply de-identification and least-privilege access • Flag fairness and unfair-discrimination risks and route issues for actuarial and compliance review • Build auditable systems with reproducible code, lineage, methodology, and compliant recordkeeping

🎯 Requisitos

• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, or a related technical field, or equivalent experience with a strong portfolio of shipped work • 6–10 years of combined software, data, or AI/ML engineering experience • At least 2 years hands-on with LLM-based systems • Must be authorized to work in the United States without sponsorship • 3+ years building AI or ML systems in production, including designing and shipping LLM-powered agents or multi-step AI workflows • Practical fluency with at least one agent framework or SDK • Experience with tool and function calling, internal APIs, structured outputs, RAG, vector search, prompt and context engineering, systematic AI evaluation, and guardrails • Strong hands-on Databricks experience with notebooks, clusters, jobs, Workflows, and production-grade code • Advanced SQL and solid PySpark • Experience with Unity Catalog, Delta Lake, medallion architecture, and MLflow • Production experience on Microsoft Azure, including Azure OpenAI or Azure AI Foundry • Strong Python engineering practice with Git-based version control • API design and integration, REST, authentication, secrets handling, and enterprise systems integration • Docker and CI/CD for data and AI workloads • Understanding of cloud-native architecture, identity and RBAC, and data governance in a regulated environment • Foundation in statistical modeling and machine learning • Experience building and validating supervised models on structured data and taking at least one to production • Time-series forecasting experience, hypothesis testing, and rigorous model evaluation • Ability to work with missing values, class imbalance, drift, and inconsistent source systems • Ability to work directly with non-technical business leaders • Full production ownership from problem definition through deployment, adoption, and iteration • Experience leading delivery at the project or pod level • Clear written and verbal communication • Background screening required

🏖️ Benefícios

• PTO • Medical insurance • Dental insurance • Vision insurance • Retirement savings • Disability insurance • Life insurance • Periodic travel to AmeriLife business locations and affiliate sites