Lead AI Engineer

We are seeking a Lead AI Engineer to drive the development and implementation of cutting-edge AI solutions, with a strong focus on Generative AI and Agentic AI. In this role, you will combine hands-on technical leadership with strategic vision—architecting scalable AI systems, mentoring engineering teams, and collaborating closely with stakeholders to deliver innovative solutions from concept to production.

Essential functions

• Architecture & Technical Leadership: Lead software development projects end-to-end, defining AI system architecture while staying hands-on with implementation alongside the team.

• Engineering Excellence & Mentorship: Set technical direction, establish engineering best practices, and mentor engineers across the team.

• Cross-Functional Collaboration: Partner closely with business and product stakeholders to align technical strategy with strategic goals, acting as a translator between technical and non-technical teams.

• Production Delivery: Deliver enterprise AI/ML solutions from proof-of-concept (POC) to production, ensuring continuous improvements, system reliability, and long-term support.

• Innovation with Pragmatism: Stay ahead of AI industry trends, integrating emerging technologies like Agentic AI, custom guardrails, and fine-tuning while maintaining operational pragmatism.

Qualifications

• Production AI Experience: 5+ years of professional experience developing and scaling production-grade AI/ML systems.

• Leadership Background: 2+ years of proven team lead experience working within Agile engineering environments.

• Python Expertise: Advanced proficiency in Python and its ecosystem across AI/ML, web services, and data engineering.

• Deep LLM & GenAI Mastery: Expertise in open/closed-source LLMs, advanced prompt engineering, RAG, Agentic AI, vector/hybrid search, document processing, guardrails, LLM evaluation, and monitoring/observability.

• Cloud & ML Platforms: Solid experience with at least one major cloud platform (GCP, AWS, or Azure) and associated ML managed services (e.g., Vertex AI, SageMaker).

• Communication & Stakeholder Management: Outstanding verbal and written English communication skills, with a track record of leading client and stakeholder discussions.

Would be a plus

• Full-Stack & End-to-End Systems: Practical experience extending beyond AI/ML into frontend, backend, data engineering, cloud infrastructure, and CI/CD automation.

• Deep Learning Frameworks: Hands-on experience with PyTorch, Hugging Face, NLP, or Computer Vision.

We offer

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.