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.  

• Partner closely with US leadership team to establish and expand the offshore AI Engineering Center of  Excellence (COE).  

• Stay actively engaged with the AI ecosystem through research, conferences, technical communities, and  open-source initiatives to drive continuous innovation.  

• Mentor AI engineers through architecture reviews and knowledge-sharing sessions while  developing future. 

 Required Experience: 

• 12+ years in Software Engineering with significant AI experience. 

• Experience leading at least team of 10 - AI Engineers in a large organization. 

• Expertise in Generative AI, LLMs, RAG, Agentic AI, AI orchestration and ML. 

• Experience delivering enterprise AI solutions. 

• Strong architecture, communication, mentoring and stakeholder management skills. • Passion for continuous learning, experimentation and innovation. 

Educational Qualifications: 

• Bachelor's/Master's in Computer Science, AI, Engineering or related field

• Strong communication skills, with the ability to translate technical concepts into actionable plans for  both technical and non-technical stakeholders. 

• Excellent problem-solving and analytical thinking skills. 

• Ability to work collaboratively with cross-functional teams and manage multiple projects in a fast-paced  environment. 

• Ability to impress customers and prospects with functional knowledge and understanding of their  business. 

• Strategic thinker with the ability to anticipate challenges and proactively address them.

Career Level: 

Management 

Years of Experience: 

12+ years