AI Engineering Lead

Bay6 AI

Bay6.ai is an enterprise AI platform that builds purpose-driven software for automation, insights, and customer engagement. We combine AI/ML, APIs, cloud-native architectures, and intelligent automation to deliver smart enterprise solutions - helping organizations scale, operate efficiently, and make fast, informed decisions. Our primary focus is on industries like financial services, insurance, healthcare, retail and e-commerce, education, travel & hospitality.

About this role:

• This is a hands-on technical leadership role, not just managing projects

• Must actively drive architecture decisions, establish AI engineering standards, mentor engineers, challenge conventional thinking, and continually raise the technical bar

• Has a proven track record of delivering enterprise-grade AI solutions

• deep expertise across Generative AI, Machine Learning, Agentic AI frameworks, LLMs, Retrieval-Augmented Generation (RAG), AI orchestration, and modern AI application development

• Must be deeply engaged with the AI ecosystem — actively evaluating emerging models, frameworks, tools, research, and engineering practices, and bringing those innovations into the org to create measurable business value (not just generally aware of trends).

• Should define the offshore AI Engineering Center of Excellence (COE), working closely with counterpart in US and Delivery teams from India

• Candidate should be actively leading a team of 10+ AI engineers in his latest / current role

Must Have Skills Nice to Have Skills

• Generative AI, LLMs, RAG, MCP • Model Fine-tuning

• Agentic AI (LangChain/LangGraph/LlamaIndex/CrewAI) • MLOps

• Python & ML • Azure AI/Vertex AI

• AWS AI Services (Bedrock, SageMaker, Lambda,S3) • AI Governance

• AI Orchestration & Enterprise Architecture using Open

Source platforms like Apache Airflow

• Open source/Conference participation

• Architecture Reviews, decisions

• Evaluating emerging models, frameworks

• GitHub, CI/CD • Kubernetes & Microservices

Job Responsibilities

• Lead the design and development of enterprise-grade AI applications using Generative AI, LLMs, RAG, Agentic AI frameworks, and Machine Learning technologies.

• Drive architecture decisions and establish AI engineering standards to deliver scalable, secure, and high performance AI solutions.

• Build, mentor, and scale a high-performing offshore AI Engineering team while fostering technical excellence and engineering discipline.

• Design and implement AI agents, chatbots, intelligent automation solutions, and predictive models for enterprise customers and internal stakeholders.

• Research, evaluate, and adopt emerging AI models, frameworks, engineering tools, and best practices that create measurable business value.

• Promote AI-assisted software development, reusable AI platforms, and engineering accelerators to improve productivity and delivery efficiency.

• Challenge conventional engineering approaches by introducing innovative AI architectures, modern frameworks, and reusable solution patterns.

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