AI Engineering Lead

Remotestar; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Bay6 AI in Hyderabad seeks a hands-on Technical Leader to drive enterprise AI solutions using Generative AI, LLMs, and ML. You will shape architecture, set engineering standards, mentor a 10+ member offshore AI team, and partner with US leadership to expand the COE.

You will actively evaluate emerging models and tools, lead architecture reviews, and ensure scalable, secure, high-performance AI deployments for enterprise customers and internal stakeholders.

Qualifications

• Extensive hands-on experience delivering enterprise AI solutions.
• Deep expertise in Generative AI, LLMs, RAG and orchestration.
• Ability to define AI architecture standards and COE scope.

Responsibilities

• Lead design and development of enterprise AI apps with Generative AI & ML.
• Drive architecture decisions and set AI engineering standards.
• Build and scale offshore AI team of 10+ engineers.
• Design AI agents, chatbots, automation, and predictive models.
• Evaluate emerging models and tools to create business value.
• Promote reusable AI platforms and accelerators for delivery.
• Introduce innovative architectures and reusable patterns.
• Partner with US leadership to expand the offshore COE.
• Engage with the AI ecosystem through research and open source.
• Mentor engineers via architecture reviews and knowledge sharing.

Skills

Generative AI

LLMs

RAG

MCP

Model Fine-tuning

Agentic AI

MLOps

Python & ML

AI Orchestration

Education

Bachelor's/Master's in Computer Science, AI, Engineering or related field

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