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 SkillsNice 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