AI Solution Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏈 Alabama, Arizona, +41 more states – Remote

🏈 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

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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AmeriLife

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

🏥 Healthcare

💼 Consulting

💸 Finance

💰 Secondary Market on 2022-06

Healthcare • Consulting • Finance

AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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