Lead AI Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Lead AI Engineer to spearhead the design and architecture of enterprise-grade AI agentic solutions. In this role, you will drive innovation across LLMs, foundation models, and multi-agent systems while shaping production AI platforms and fostering a high-performance engineering culture. You will collaborate with cross-functional teams to deliver measurable business impact through cutting-edge AI technologies.
Responsibilities
- Lead, design, and architect enterprise-grade AI agentic solutions using LLMs, foundation models, and multi-agent systems
- Implement production AI platforms with modular pipelines, multi-source knowledge fusion, and governance frameworks
- Collaborate with product, engineering, and business teams to understand requirements and drive strategic decisions
- Architect hybrid AI systems combining agentic AI, traditional ML, symbolic reasoning, and knowledge graphs
- Perform detailed analysis of business problems and design comprehensive solutions with measurable ROI
- Establish MLOps/AIOps practices including continuous evaluation, A/B testing, model versioning, and automated retraining pipelines
- Lead code and architecture reviews, ensuring solutions meet security, compliance, and best practice standards
- Foster a high-performance AI engineering culture, mentor team members, and provide technical leadership
- Design evaluation frameworks covering technical, human-centered, temporal, and contextual metrics
- Drive innovation and stay current with emerging AI technologies and research
- Author comprehensive technical documentation, architecture decision records, and knowledge base articles
Requirements
- 5+ years of experience in AI/ML engineering with proven leadership in architecting enterprise-grade solutions
- Expertise in LLMs, foundation models, and multi-agent systems
- Proficiency in designing production AI platforms with modular pipelines and governance frameworks
- Background in hybrid AI systems combining agentic AI, traditional ML, and symbolic reasoning
- Knowledge of knowledge graphs and multi-source knowledge fusion
- Competency in MLOps/AIOps practices including A/B testing, model versioning, and automated retraining
- Capability to design evaluation frameworks covering technical, human-centered, and contextual metrics
- Understanding of business problem analysis and translating requirements into solutions with measurable ROI
- Showcase of strong cross-functional collaboration and stakeholder management
- Familiarity with security, compliance standards, and emerging AI research trends
- English proficiency at B2 level or higher
We Offer
- Opportunity to work in a dynamic and innovative environment
- Collaborative and inclusive company culture
- Competitive compensation package
About the Company
[Company description if present]
© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.