Lead AI Engineer

Lead AI Engineer (3 days/week on site) Our client is seeking a Lead AI Engineer who will be responsible for architecting, developing, deploying, and supporting enterprise-scale Agentic AI solutions that drive business automation, operational efficiency, and enhanced decision-making across the organization. This role designs and implements scalable artificial intelligence systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, AI agents, model orchestration platforms, and secure API-based integrations to solve complex business challenges. The Lead AI Engineer ensures all AI solutions align with enterprise security, governance, risk management, and compliance requirements while delivering measurable business value. Working closely with data scientists, software engineers, infrastructure teams, product teams, and business stakeholders, this position serves as a technical leader in advancing the organization's AI capabilities and digital transformation objectives. The role also includes evaluating emerging technologies, contributing to the enterprise AI roadmap, building foundational AI capabilities, and mentoring junior engineers. The work performed in this position directly impacts customer experience, operational effectiveness, enterprise automation, and strategic business outcomes. Essential Duties And Responsibilities Architect, design, develop, deploy, and support enterprise-scale Agentic AI solutions. Build and maintain scalable AI systems utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, model orchestration frameworks, agentic architectures, and secure APIs. Design and implement AI-powered automation solutions that improve business processes, operational efficiency, and decision-making capabilities. Collaborate with cross-functional teams, including data scientists, software engineers, infrastructure teams, product managers, and business stakeholders, to translate business requirements into AI-driven solutions. Ensure AI applications adhere to enterprise security standards, governance frameworks, privacy requirements, and regulatory compliance obligations. Lead the integration of AI solutions with enterprise systems, applications, and cloud-based platforms. Establish and promote engineering best practices for AI architecture, deployment, monitoring, scalability, and reliability. Evaluate emerging AI technologies, tools, and platforms to identify opportunities for innovation and business value creation. Contribute to the development and execution of the enterprise AI strategy and digital transformation roadmap. Build and enhance core AI capabilities that support long-term enterprise objectives. Monitor AI solution performance and implement improvements to optimize effectiveness, scalability, and cost efficiency. Provide technical leadership and guidance to engineering teams on AI architecture, development, and implementation. Mentor and develop junior engineers through coaching, knowledge sharing, and technical oversight. Participate in architectural reviews, technology evaluations, and strategic planning initiatives. Maintain awareness of industry trends, advancements, and best practices in artificial intelligence, machine learning, and cloud technologies. Qualifications Education Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field required. Master's degree in a relevant discipline preferred. Experience Extensive experience designing, developing, and deploying enterprise AI and machine learning solutions. Experience working with Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. Demonstrated experience leading complex technical initiatives and cross-functional projects. Experience developing cloud-native applications and distributed systems in enterprise environments. Proven ability to mentor and guide engineers within a technical organization. Knowledge, Skills, and Abilities Advanced knowledge of artificial intelligence, machine learning engineering, and generative AI technologies. Strong understanding of Agentic AI frameworks, model orchestration platforms, LLMs, and RAG architectures. Expertise in cloud infrastructure, distributed computing, and scalable system design. Knowledge of AI security, governance, compliance, and risk management practices. Proficiency in API design, integration patterns, and enterprise application architecture. Strong analytical, problem-solving, and decision-making skills. Excellent collaboration and communication skills with the ability to engage technical and non-technical stakeholders. Ability to evaluate emerging technologies and recommend strategic solutions aligned with business objectives. Demonstrated leadership, coaching, and mentoring capabilities. Compensation: $170,000 annually Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications . Show more Show less