AI Engineering Lead
First seen by Alion on Oct 21, 2026.
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.
Skills
Artificial Intelligence, Generative AI, LLM, Agentic AI, Python, Machine Learning, AWS, LangChain, Apache Airflow