What will your role look like
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
Bachelors/Masters degree in Computer Science, Engineering, or related field.
12+ 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.
Familiarity with GenAI tools and frameworks such as LangChain, Hugging Face, or OpenAI APIs.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time
Contact Details:
Company: Infobeans
Location(s): Indore