Lead AI Developer

InfoBeans; Pune District; Presencial; INR 4 500 000 - 7 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Enterprise-scale AI initiatives

Collaborative culture

Access to latest cloud-native AI tools

Resumo da oferta

InfoBeans is seeking a Senior AI Architect to lead the design, development, and deployment of AI and Generative AI solutions across AWS, Azure, and GCP from Pune. You will guide a multidisciplinary team and collaborate with business stakeholders to translate needs into scalable technical solutions.

In this role, you will stay ahead of GenAI trends, drive cloud-native development, and ensure best practices in AI/ML, data engineering, and DevOps.

Qualificações

• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• 8+ years technology experience with 5+ years in team/project management.
• Proven expertise in AI/ML and Generative AI (LLMs, Transformers, NLP, Computer Vision).
• Strong hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML cloud services.
• Solid understanding of software engineering, DevOps, CI/CD, and MLOps practices.
• Experience in data engineering, pipelines, and scalable system design.
• Excellent leadership, communication, and stakeholder management skills.

Responsabilidades

• Lead the design, development, and deployment of AI and Generative AI solutions across cloud platforms.
• Provide architectural guidance and conduct technical reviews to ensure AI/ML and data engineering best practices.
• Stay ahead of AI/GenAI trends to introduce innovative enterprise solutions.
• Manage multiple projects end-to-end: define scope, timelines, budgets, and resources.
• Identify and mitigate risks and dependencies to ensure timely, quality delivery.
• Lead and mentor a multi-disciplinary team of AI engineers, data scientists, cloud engineers, and software developers.
• Collaborate with business leaders, product owners, and clients to translate needs into scalable solutions.
• Present solutions and updates to both technical and non-technical stakeholders.

Conhecimentos

AI/ML experience

GenAI expertise

Cloud platforms

Team leadership

Project management

Formação académica

Bachelor’s/Master’s degree in CS/Engineering or related

Ferramentas

AWS

Azure

GCP

CI/CD

MLOps

Descrição da oferta de emprego

• Lead the design, development, and deployment of AI and Generative AI solutions using AWS, Azure, or GCP.


• Provide architectural guidance, conduct technical reviews, and ensure best practices in AI/ML, data engineering, and cloud-native development.


• Stay ahead of emerging trends in AI, GenAI, and cloud to introduce innovative solutions across the organization.


• Manage multiple projects end-to-end, defining scope, timelines, budgets, and resources in alignment with business objectives.


• Identify and mitigate risks and dependencies while ensuring timely and quality delivery.


• Lead and mentor a multi-disciplinary team of AI engineers, data scientists, cloud engineers, and software developers.


• Collaborate with business leaders, product owners, and clients to translate business needs into scalable technical solutions.


• Present solutions and updates to both technical and non-technical stakeholders.

Why you will love this role

• Opportunity to drive cutting-edge AI and GenAI initiatives at enterprise scale.


• Lead and mentor a high-performing, innovative team in a collaborative and inclusive culture.


• Work with the latest cloud-native services, MLOps, and AI frameworks to deliver impactful solutions.


• Influence business and technology strategy by bridging technical innovation with business value.


• Be at the forefront of AI-driven digital transformation, shaping solutions that impact clients and industries.

We would like you to bring along

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.


• 8+ years of technology experience with 5+ years in team/project management.


• Proven expertise in AI/ML and Generative AI (LLMs, Transformers, NLP, Computer Vision).


• Strong hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML cloud services.


• Solid understanding of software engineering, DevOps, CI/CD, and MLOps practices.


• Experience in data engineering, pipelines, and scalable system design.


• Excellent leadership, communication, and stakeholder management skills.

Good-to-have skills

• Certifications in Cloud (AWS/Azure/GCP) and/or AI/ML.


• Experience with Agile methodologies (Scrum, SAFe, Kanban).


• Exposure to enterprise-scale AI transformation initiatives.