Job Description :

Target Start Date : ASAP

Job Location : Hyderabad

Reporting To : Management

Manages Others : Yes

About 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 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.

- 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/CD

Nice-to-Have Skills :

- Model fine-tuning

- MLOps

- Azure AI / Vertex AI

- AI Governance

- Open-source / conference participation

- 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 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.