
Lead AI Engineer
Beacon Hill · Commercial & Professional Services
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Job Description:
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Location: Remote EST
We are seeking a highly experienced Lead AI Engineer to lead the technical design and development of enterprise AI solutions. This is a hands-on technical leadership role focused on architecture, solution design, development, and implementation. This position does not have direct people-management responsibilities.
Responsibilities
Lead the technical design and architecture of AI-enabled applications and solutions.
Remain hands-on with application development, prototyping, integration, and implementation.
Design and develop AI solutions leveraging OpenAI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.
Design and implement solutions using modern AI frameworks and Model Context Protocol (MCP).
Establish scalable architecture and design patterns for enterprise AI applications.
Develop backend services and integrations using Python.
Develop modern user-facing applications and interfaces using React.
Design and deploy cloud-native applications within Microsoft Azure environments.
Work with Red Hat OpenShift and Kubernetes for containerized application deployment and orchestration.
Incorporate AI governance, security, guardrails, responsible AI practices, and appropriate controls into solution designs.
Provide technical leadership and design direction to development teams without direct people-management responsibilities.
Evaluate emerging AI technologies, frameworks, models, and development approaches.
Partner with engineering, architecture, product, security, and business teams to translate requirements into scalable AI solutions.
Participate directly in coding, design reviews, troubleshooting, and technical problem-solving.
Required Qualifications
10+ years of overall software development experience.
3+ years of hands-on Python development experience.
3+ years of hands-on React development experience.
2+ years of hands-on AI development experience.
Recent hands-on development experience. Candidates should currently be actively designing and developing solutions.
Recent experience leading technical architecture and solution design.
Hands-on experience with OpenAI technologies and Large Language Models.
Experience implementing RAG solutions.
Experience with Agentic AI and AI agent frameworks.
Experience working with Model Context Protocol (MCP).
Experience with AI frameworks and emerging AI development technologies.
Experience implementing AI governance, guardrails, security controls, and responsible AI practices.
Experience developing and deploying applications in Microsoft Azure.
Experience with Red Hat OpenShift and Kubernetes.
Strong understanding of modern software architecture, APIs, integrations, cloud-native development, and enterprise application design.
T1478880-PHI_1792673834
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