Senior AI Engineer

Largeton Group • Contract • Denver, CO, US • $59 - $60 / year • 1m ago

Summary

Job Summary Senior AI Engineer

Design, Build, and Scale AI Solutions: Lead the development of enterprise-grade AI applications leveraging AWS (Bedrock, SageMaker) and Microsoft technologies.
Generative AI & LLM Focus: Architect, implement, and optimize LLM-powered solutions including Retrieval Augmented Generation (RAG), prompt engineering, and model evaluation.
Cloud-Native Engineering: Develop scalable systems using Kubernetes, Docker, and cloud-native services, ensuring robust deployment and orchestration.
Python Development: Deliver end-to-end solutions with strong Python programming including CI/CD pipelines, testing frameworks, and observability.
Technical Leadership: Mentor and lead AI engineering teams, promoting best practices in software development and AI/ML engineering.
AI Agent & Platform Development: Contribute to enterprise AI platforms such as LLM gateways and agent frameworks for digital transformation.
Business Collaboration: Partner with stakeholders to translate business requirements into technical AI solutions across multiple business units.
AI Governance & Responsible AI: Implement secure, compliant, and responsible AI practices including monitoring and AIOps.
Multi-modal AI & Data Handling: Work with large-scale, unstructured, and multi-modal datasets for AI-driven applications.
Continuous Learning & Communication: Stay updated on AI/ML advancements, communicate technical concepts effectively to varied audiences, and drive innovation within the organization.
Hybrid Work Model: Work 3 days per week onsite in Denver, with flexibility for occasional travel and global collaboration.

Key Skills

Generative AI, LLMs (OpenAI/Azure OpenAI, AWS Bedrock), RAG, prompt engineering
Cloud-native development (AWS, Microsoft stack), Kubernetes, Docker
Python programming, CI/CD, SDLC experience
Team leadership and scalable system architecture
Experience with LangChain, REST APIs, AI governance, and multi-modal AI

Qualifications

Bachelor s degree (Master s preferred)
3+ years of production AI solution delivery
Hands-on expertise with relevant AI/ML tools and cloud platforms
Professional certifications in cloud or AI technologies

Business Impact

Accelerate enterprise AI adoption and digital transformation
Enhance customer experiences and operational efficiency
Ensure secure and innovative AI leadership in the financial sector

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