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AgileEngine

AI Architect ID34949– $2,500 Sign-On Bonus

AgileEngine, Richmond, Virginia, United States, 23214

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AI Architect ID34949– $2,500 Sign-On Bonus

Join us to apply for the

AI Architect ID34949– $2,500 Sign-On Bonus

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AgileEngine . Join us and receive a $2,500 sign-on bonus! AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries. We are leaders in application development and AI/ML, with a people-first culture recognized by multiple Best Place to Work awards. If you're looking to grow, make an impact, and work with caring professionals, we’d love to meet you! Applicants must be authorized to work for ANY employer in the US

(Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD). We are unable to sponsor or assume sponsorship of employment visas at this time. Responsibilities

Architect & Roadmap:

Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services. Agentic Pipelines:

Specify and oversee construction of end-to-end LLM/ML pipelines for energy data. RAG & Vector Search:

Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs. Model Development:

Guide teams building models for contract auditing, price forecasting, and portfolio optimization. ML Deployment:

Design and oversee deployment of AI pipelines into production, including hosting, containerization, and cloud infrastructure. Standards & Best Practices:

Establish coding standards, testing frameworks, and review processes. Mentorship & Leadership:

Coach engineers, review design docs, and present architecture reviews to stakeholders, including C-suite. Must Haves

8+ years of software development, with 5+ years in production ML/AI systems. Proven track record as an AI Architect or technical lead. Experience in AI research & development, publishing, prototyping, or leading R&D projects. Hands-on experience with LLMs, RAG/vector search, and microservice/REST API design. Strong systems thinking, product mindset, and experience with cloud platforms (AWS, GCP, Azure), Docker, Kubernetes. Excellent communication skills and ability to present to executives. Upper-Intermediate English level. Nice to Haves

Experience in startups, energy, sustainability, or industrial infrastructure. Open-source contributions, publications, conference talks. Commitment to ethical AI. Benefits

Professional growth through mentorship, TechTalks, and personalized roadmaps. Competitive USD-based compensation and budgets for education, fitness, and activities. Exciting projects with top-tier clients including Fortune 500 companies. Flextime options for remote or in-office work to support work-life balance. Apply now! Check your email and complete your registration on our Applicant Site to proceed. Additional Details

Seniority level: Mid-Senior level Employment type: Full-time Industry: IT Services and IT Consulting

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