We are seeking an experienced and vision-driven AI & Digital Transformation Manager to lead the end-to-end integration of Artificial Intelligence and advanced digital solutions within enterprise operations.
In this role, you will bridge the gap between business strategy and cutting-edge technology—designing, deploying, and optimizing scalable AI architectures, generative AI frameworks (RAG, LLMs), automated workflows, and data-driven systems that accelerate business growth and operational efficiency.
Key Responsibilities
- Strategic Execution & Leadership: Lead and execute high-impact AI and digital transformation initiatives directly aligned with core business objectives.
- AI & ML Solution Architecture: Develop, deploy, optimize, and maintain AI algorithms, predictive models, and machine learning workflows across enterprise platforms.
- Generative AI & LLM Engineering: Design and refine prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, LLM applications, chatbots, and AI-powered knowledge management tools.
- System & Cloud Integration: Oversee AI infrastructure, data pipelines, cloud resource allocation, and API integrations across existing enterprise databases and applications.
- Cross-Functional Collaboration: Translate complex business requirements into technical AI deliverables in close partnership with business stakeholders, software engineers, and data teams.
- Performance, Security & Governance: Monitor AI systems for high accuracy, performance, scalability, data security, and regulatory compliance.
- Change Management & Technology Adoption: Drive organizational adoption of AI tools, automation, and digital-first methodologies across departments.
Key Requirements
- Education: Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, IT, or a related discipline.
- Experience: Minimum 5 years of hands‑on experience in AI, Data Science/Analytics, Software Development, or leading Digital Transformation initiatives.
- Proven Track Record: Proven background in deploying functional AI models, automated workflows, and enterprise digital solutions into production environments.
- Core Technical Stack: Proficiency in Python, SQL, and languages such as Java or C#.
- Advanced AI Expertise: Deep understanding of Generative AI, Large Language Models (LLMs), RAG architecture, prompt optimization, and AI APIs.
- Infrastructure & Cloud: Hands‑on experience managing data pipelines, cloud environments (AWS / Azure / GCP), and enterprise application integration.
- Analytical & Management Soft Skills: Exceptional analytical problem‑solving, stakeholder management, cross‑functional leadership, and end‑to‑end project execution skills.
Preferred Certifications (Added Advantage)
- Google Professional Machine Learning Engineer
- Artificial Intelligence Engineer (AIE™) / Certified Artificial Intelligence Scientist (CAIS™)
Why Join Us?
Drive high-visibility AI projects from ideation to production.
Work with modern tech stacks and modern Generative AI architectures.
Competitive compensation package with professional growth and upskilling opportunities.