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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** MISO TECHNOLOGIES, INC. - **Location:** Carmel, IN, United States - **Salary:** $190,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Data Integration, Database Queries, Distributed Systems, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Containerization, Information Technology, Machine Learning Operations, Programming Languages - **Published:** November 5, 2026 - **Apply:** https://diversityjobs.com/career/18842926/Forward-Deployed-Engineer-Indiana-Carmel ## About the Role * Strong foundational education in computer science, engineering, data science, or a related technical field, with an advanced degree preferred. * Extensive experience (15+ years) across software, data, AI/ML engineering, solution architecture, or product engineering, including handson delivery of production AI/ML solutions. * Deep proficiency in modern programming languages-especially Python-and strong SQL skills, with the ability to design secure, scalable backend services and APIs. * Expertise integrating applications with enterprise data sources, APIs, cloud services, and distributed systems, ideally within a Microsoft Azure environment. * Demonstrated experience with cloudnative engineering practices, CI/CD, automated testing, observability, production support, and containerization technologies. * Strong applied knowledge of generative AI, agent orchestration, retrievalaugmented generation, prompt/context engineering, and AI evaluation frameworks. * Ability to translate complex business workflows into robust technical solutions by working directly with domain experts and converting operational needs into actionable requirements. * Familiarity with AI observability, governance, humanintheloop workflows, and model reliability practices to ensure safe and effective production AI operations. Appropriate level will be determined based upon experience and knowledge., Bachelors of Engineering (preferred) Bachelors of Data Science (preferred) Bachelors of Computer Science (preferred) Experience 15 years: Extensive experience across software, data, AI/ML engineering, solution architecture, or product engineering, including hands on delivery of production AI/ML solutions. (preferred) Equal Opportunity Employer ## Description The Forward-Deployed AI Engineer will transform MISO's most important business challenges into practical, production-ready AI solutions. Working sidebyside with domain experts, this role blends data, AI, and software engineering to rapidly design, build, and deploy intelligent applications and agents. You will own the full lifecycle from problem discovery through production adoption, ensuring each solution delivers clear and measurable business value. By developing secure, reliable, and reusable AI components within MISO's enterprise standards, this role accelerates innovation and reduces reliance on external vendors. Success in the first year is demonstrated by faster delivery of priority AI use cases, measurable improvements in decision quality and operational efficiency, and solutions that meet defined performance and governance criteria in production. Ultimately, the engineer empowers internal teams to independently operate and extend these solutions while contributing reusable patterns and assets that strengthen MISO's broader AI ecosystem. Some of the impactful contributions you'll make as MISO's Forward-Deployed AI Engineer include: * Partnering directly with the business to understand real workflows, uncover operational challenges, and translate domain expertise into clear technical requirements and actionable solution designs. * Leading AI and agentic solution delivery endtoend - from discovery and architecture through data integration, testing, deployment, observability, and continuous improvement. * Rapidly producing working increments using governed production or representative data, demonstrating visible progress to domain experts on a frequent, iterative cadence. * Designing and implementing AI applications, copilots, agents, retrieval pipelines, APIs, and automation that integrate seamlessly with MISO's enterprise technology environment and standards. * Establishing robust evaluation methods and safety measures that validate accuracy, reliability, hallucination risk, workflow completion, and business usefulness against defined thresholds. * Building solutions using composable architectures, reusable services, and modelagnostic patterns that reduce lockin and enable scaling across the enterprise. * Ensuring longterm sustainability by creating runbooks, documentation, and reusable assets, and by pairing with internal engineers to transfer knowledge and ensure independent operation. * Delivering measurable business outcomes (including faster delivery from discovery to production, improved decision) making and efficiency, and AI solutions that teams can operate and extend without ongoing reliance on the ForwardDeployed AI Engineer.