Job Description Head of AI Practice
Company: CloudJune Technologies
Location: Hyderabad, India (Hybrid) | Close collaboration with UAE & Middle East teams
Department: AI Center of Excellence (CoE)
Experience:810 years overall, with 5+ years of deep hands-on AI/ML & GenAI delivery and technical leadership
Send your resume and project portfolio to: [Confidential Information] or [HIDDEN TEXT]
About CloudJune
CloudJune is building the next generation of sovereign, secure, and scalable AI platforms for governments, regulated enterprises, and global organizations. From agentic AI architectures to AI-in-a-Box deployments, our mission is to bring intelligence directly into digital infrastructureethically, modularly, and at scale.
Our AI platforms power real-world solutions for UAE and Middle East governments, public sector entities, and small, medium, and large enterprises globally across BFSI, FinTech, Healthcare, Manufacturing, Real Estate, and beyond.
If you want to build AI systems that matternot just better models, but better outcomes for societythis role is for you.
Role Overview
As Head of AI Practice, you will build, lead, and scale CloudJune's AI capability end-to-end. This is a hands-on technical leadership role where you will architect and deliver production-grade AI systems while mentoring high-performing AI engineers and working directly with government and enterprise stakeholders.
This role goes beyond LLMs. You will lead initiatives across classical ML, deep learning, GenAI, agentic AI, NLP, computer vision, recommendation systems, and AI systems engineering, ensuring CloudJune delivers robust, explainable, compliant, and scalable AI solutions.
Key Responsibilities
You will:
- Lead and grow CloudJune's AI Practice, setting technical direction, delivery standards, and best practices
- Design and build end-to-end AI systems, including:
- LLM-powered solutions (RAG, summarization, reasoning, copilots)
- Non-LLM AI systems (predictive analytics, optimization, anomaly detection, NLP, computer vision)
- Architect and deploy agentic AI frameworks capable of reasoning, planning, and autonomous execution across enterprise workflows
- Build scalable RAG pipelines with real-time data connectors, vector databases, and secure retrieval layers
- Own production-grade AI delivery, from experimentation and prototyping to deployment, monitoring, and continuous improvement
- Collaborate with product, cloud, security, and MLOps teams to deliver compliance-first AI systems for sovereign, on-prem, and hybrid cloud environments
- Fine-tune, optimize, and operationalize open-source and proprietary foundation models
- Translate complex business, regulatory, and policy requirements into AI-first, explainable, and auditable solutions
- Lead, mentor, and scale a high-performance AI engineering team while remaining hands-on with architecture and critical implementations
- Contribute to and evolve CloudJune's AI platforms, including Tenzia, AI-in-a-Box, and agentic AI ecosystems
- Stay ahead of advancements in AI alignment, interpretability, efficiency, and system-level AI design
Must-Have Technical Expertise
AI & Machine Learning
- Strong foundation in Machine Learning, Deep Learning, and Transformer-based architectures
- Hands-on experience across LLMs and non-LLM AI systems
- Experience with leading LLMs and frameworks:
- OpenAI, Claude, Mistral
- Open-source models such as LLaMA, Falcon, Mixtral
- Proven ability to design and deploy real-world, mission-critical AI systems
GenAI, RAG & Agentic AI
- Deep hands-on expertise with:
- RAG architectures
- Vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
- LangChain, LlamaIndex, or equivalent frameworks
- Strong understanding of agentic AI, memory management, tool orchestration, and autonomous task execution
Programming & Systems Engineering
- Strong programming expertise in:
- Python (mandatory)
- Java and Node.js for enterprise services and system integration
- Experience building scalable APIs using FastAPI / REST / gRPC
- Comfortable working in polyglot, enterprise-grade environments
MLOps & Deployment
- Hands-on experience with:
- MLOps pipelines, CI/CD, model versioning, monitoring, and observability
- Containerization and orchestration: Docker, Kubernetes
- Experience deploying AI systems in sovereign cloud, on-prem, and hybrid environments
- Strong understanding of security, compliance, and data governance in AI systems
Bonus / Preferred Skills
- Experience with model compression, quantization, and GPU optimization
- Familiarity with RLHF and feedback-driven learning
- Experience building multi-lingual AI systems, especially Arabic and Indian languages
- Prior experience in GovTech, FinTech, HealthTech, or other regulated industries
- Exposure to enterprise ecosystems involving Oracle, NVIDIA, SAP, cloud hyperscalers
What We Offer
- Opportunity to lead AI systems used by governments and global enterprises
- Work with elite, cross-border teams across UAE, India, Singapore, and the US
- Competitive compensation with performance-linked incentives
- Exposure to strategic engagements with Oracle, NVIDIA, HPE, and regional governments
- Flexible working model: Hybrid or On-site (Hyderabad / Dubai)
Ready to Build AI That Matters
Send your resume and project portfolio to: [HIDDEN TEXT] or [HIDDEN TEXT]
