- Location
- Telangana, Hyderabad
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Education
- Master
- Source
- Freshteam
Description
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 |