Job Description : Target Start Date : ASAPJob Location : HyderabadReporting To : ManagementManages Others : YesAbout 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.Primary industries : Financial Services, Insurance, Healthcare, Retail & 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 up-to-date 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.- Should define the offshore AI Engineering Center of Excellence (COE), working closely with the counterpart in the US and Delivery teams from India.- Candidate should be actively leading a team of 10+ AI engineers in their latest / current role.Must-Have Skills : - Generative AI, LLMs, RAG, MCP- Agentic AI (LangChain / LangGraph / LlamaIndex / CrewAI)- Python & Machine Learning- AWS AI Services (Bedrock,



SageMaker, Lambda, S3)- AI Orchestration & Enterprise Architecture using open-source platforms like Apache Airflow- Architecture reviews and decisions- Evaluating emerging models and frameworks- GitHub, CI/CDNice-to-Have Skills : - Model fine-tuning- MLOps- Azure AI / Vertex AI- AI Governance- Open-source / conference participation- Kubernetes & MicroservicesJob 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 the 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 leaders.Required Experience : - 12+ years in Software Engineering with significant AI experience.- Experience leading a team of at least 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.Soft Skills Required : - 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.Educational Qualifications : - Bachelor's / Master's in Computer Science, AI, Engineering, or a related field. (ref:hirist.tech)

📌 RSG Research - AI Engineering Lead (Hyderabad)
🏢 RSG RESEARCH PRIVATE
📍 Hyderabad