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About the role

Overview: In this role you will design and deliver production-grade AI solutions for enterprise customers, bridging AI engineering, architecture, and customer delivery. You will work with cross-functional teams to translate business problems into scalable AI capabilities and deploy them in production. You’ll build reusable components while tackling customer-specific challenges, with a strong focus on observability, MLOps/LLMOps, security, and governance. This is an impact-focused, hands-on position that collaborates across engineering, product, and customer-facing teams. You will contribute to architectures and patterns that scale across multiple engagements, shaping AI-driven outcomes for regulated,高 Compensation / Benefits hybrid work model flexible work arrangements and work-life balance career development and growth programs tuition reimbursement mental health days and wellbeing resources employee incentive programs
Responsibilities: Partner with customers and stakeholders to translate problems into scalable AI solutions Architect, build, and deliver production-grade AI applications and services Leverage LLMs, RAG, agentic workflows, evaluation frameworks, and enterprise integrations Design secure, scalable architectures that integrate with customer and Thomson Reuters infrastructure Contribute hands-on to software development, APIs, services, deployment, and production operations Build reusable components, patterns, and frameworks for multiple customer engagements Establish observability, monitoring, MLOps/LLMOps, security, and governance practices Participate in technical design reviews and mentor engineers on architecture and implementation Collaborate across engineering, product, and customer-facing teams from problem discovery to production deployment
Key requirements: 8+ years of software engineering experience with production systems Strong hands-on software engineering and architecture experience Experience building and deploying production AI/ML or LLM-powered systems Experience with LLMs, RAG, agents, evaluation, MLOps/LLMOps, observability, and enterprise integrations Experience working directly with customers or business stakeholders Strong understanding of scalable APIs, services, distributed systems, cloud platforms, and production practices Ability to manage full solution lifecycle: discovery, architecture, build, deployment, production support Strong communication skills for technical and non-technical stakeholders customer-facing collaboration clear communication mentoring and leadership LLMs RAG agents

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JOB OVERVIEW

Experience level

Lead

Location

Eagan, MN

Occupation

Software Developers

Industry

Software Publishers

Posted

today

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