AI Engineering Lead

remotestar-team; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Bay6 AI is seeking a hands-on technical leader to drive enterprise AI solutions and architecture decisions. You will mentor a 10+ strong offshore AI engineering team, define engineering standards, and push for innovative AI architectures across Generative AI, LLMs, and RAG.

The role demands deep expertise in AI orchestration, MLOps, and modern AI application development, with ongoing evaluation of emerging models and frameworks to create measurable business value.

Qualifications

• 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.

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.

Skills

Generative AI

LLMs

RAG

MCP

Model Fine-tuning

Agentic AI

MLOps

Python & ML

Azure AI

Vertex AI

AWS AI Services

AI Governance

AI Orchestration

Open Source Tools

GitHub & CI/CD

Kubernetes & Microservices

Education

Bachelor's/Master's in Computer Science or AI

Tools

Kubernetes

Apache Airflow

GitHub

CI/CD

Job 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


• H as 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