AI Engineer

🔥 1 minute ago

🏄 California, Colorado, +11 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $120k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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IMA Financial Group, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1980

🏗️ Construction

🏥 Healthcare

🏨 Hospitality

💰 Private Equity Round on 2020-11

Construction • Healthcare • Hospitality

IMA Financial Group, Inc. is a diversified financial and insurance services company providing specialized insurance solutions across various industries, including agribusiness, construction, digital risk, education, energy, healthcare, hospitality, life sciences, manufacturing, marine, private equity, real estate, and technology. The company offers a wide range of insurance services such as business insurance, employee benefits, personal insurance, retirement solutions, wholesale insurance, wealth management, and more. IMA is committed to protecting assets and foreseeing challenges, ensuring that clients are prepared for the future. They emphasize community impact, philanthropy, and customer-driven solutions, supporting both innovation and community betterment.

📋 Description

• Design, build, deploy, and support practical AI solutions that solve business problems and deliver measurable value • Partner with business leaders, subject matter experts, the AI Enablement Lead, and business stakeholders to understand workflows, users, data dependencies, risks, and success criteria • Translate business needs into requirements, solution architecture, user stories, delivery plans, and measurable outcomes • Communicate options, constraints, tradeoffs, and recommendations to business and technical audiences • Design, build, test, deploy, and maintain AI agents, copilots, workflow automations, integrations, and AI-enabled applications • Develop solutions using Microsoft Copilot Studio, Azure services, APIs, connectors, Python and/or C#, and other approved technologies • Design integrations with enterprise applications, knowledge sources, and structured or unstructured data • Develop prompts, agent instructions, grounding strategies, tools, connectors, and reusable components • Apply RAG, semantic/vector search, embeddings, agentic patterns, and model orchestration when appropriate • Own or substantially contribute to architecture decisions, including Copilot Studio versus custom Azure solutions • Apply SDLC practices across requirements, architecture, development, code review, testing, release management, documentation, support, and retirement • Use source control, CI/CD, environment separation, configuration management, and repeatable deployment practices • Implement unit, integration, functional, regression, security, and user-acceptance testing • Build logging, monitoring, usage analytics, performance measures, and alerts; troubleshoot production issues and perform root-cause analysis • Create architecture diagrams, technical specifications, runbooks, support documentation, and user guidance • Implement controls for identity and access, data privacy, human oversight, source grounding, output validation, and auditability • Evaluate and mitigate hallucinations, prompt injection, unsafe or inaccurate outputs, bias, data leakage, and inappropriate tool actions • Assess knowledge and data readiness and partner with content owners to improve quality, permissions, organization, and lifecycle management • Partner on pilots, rollout, user enablement, adoption, feedback, and measurement of business outcomes • Monitor solution reliability and usage, prioritize engineering enhancements, and contribute to the AI delivery backlog and roadmap • Support and demonstrate IMA’s core values and value diversity, equity, and inclusion

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Analytics, or a related field, or equivalent practical experience • Three or more years of experience in software engineering, application development, automation, AI solution delivery, or a related technical field • At least one year of hands-on experience designing and implementing AI agents, copilots, workflow automations, or AI-enabled applications • Experience with Microsoft Copilot Studio, Power Platform, Power Automate, and connectors, or an equivalent platform • Experience developing or integrating Azure solutions, including identity, security, application hosting, data, integration, and monitoring services • Ability to develop, test, debug, and maintain production-quality applications, APIs, integrations, and automation using Python and/or C#, REST APIs, JSON, scripting, and data integration technologies • Experience applying SDLC practices and delivering solutions across business, technology, security, compliance, and other cross-functional stakeholders • Strong software engineering fundamentals, including maintainability, testing, error handling, security, reliability, and documentation • Working knowledge of LLMs, prompt engineering, grounding, RAG, agents, evaluations, and model limitations • Ability to design secure, scalable, observable, supportable, and cost-conscious cloud solutions • Understanding of authentication, authorization, secrets management, data protection, networking, APIs, and enterprise integration patterns • Strong analytical, troubleshooting, communication, presentation, and collaboration skills, including the ability to work effectively with non-technical stakeholders

🏖️ Benefits

• Annual Performance Bonus • Stock Purchase • Medical Plans • Prescription Drugs • Dental • Vision • Family Assistance Program • FSA • HSA • Pre-Tax Parking Plan • 401(k) • Life/AD&D • Accident insurance • Critical Illness insurance • Hospital Indemnity • Long Term Care • Short-term Disability • Long-term Disability • Business Travel Accident • Identity Theft protection • Paid Time Off • Flexible Work Options • Paid Holidays • Sabbatical • Gift Matching • Well-Being Stipend • Personal and Professional Development • Ownership business model / part ownership