Job requisition ID :: 109181
Date: Jul 22, 2026
Location: Bengaluru
Designation: Consultant
Entity: Deloitte Touche Tohmatsu India LLP
**Location**
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Bangalore, India (Hybrid/Onsite)
**Experience**
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3–10 Years
**Job Summary**
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We are seeking a highly skilled and innovative AI Engineer to design, develop, deploy, and optimize AI/ML solutions that solve complex business challenges. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and cloud\-based AI platforms. This role involves working closely with business stakeholders, data scientists, software engineers, and solution architects to deliver scalable AI\-driven products and services.
**Key Responsibilities**
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* Design, develop, and deploy Machine Learning and Generative AI solutions for enterprise use cases.
* Build and optimize AI applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and open\-source models.
* Develop Retrieval\-Augmented Generation (RAG) pipelines using vector databases and embedding models.
* Fine\-tune, evaluate, and monitor AI/ML models for performance, scalability, and reliability.
* Integrate AI solutions into enterprise applications using APIs and microservices architectures.
* Collaborate with cross\-functional teams to gather requirements and translate business needs into AI solutions.
* Implement MLOps practices for model deployment, monitoring, versioning, and lifecycle management.
* Ensure AI solutions adhere to responsible AI, security, privacy, and governance standards.
* Stay current with emerging AI technologies, frameworks, and industry best practices.
**Required Skills**
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### **Technical Skills**
* Strong proficiency in Python programming.
* Experience with Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit\-learn.
* Hands\-on experience with Generative AI and LLM frameworks including LangChain, LlamaIndex, Semantic Kernel, or similar.
* Experience with RAG architectures, prompt engineering, and vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
* Knowledge of NLP, deep learning, and transformer architectures.
* Experience with REST APIs, microservices, and software engineering best practices.
* Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
* Understanding of MLOps tools such as MLflow, Kubeflow, Databricks, Docker, and Kubernetes.
* Experience with Git, CI/CD pipelines, and DevOps practices.
### **Preferred Skills**
* Experience with AI Agents and Agentic AI frameworks.
* Knowledge of multimodal AI solutions (text, image, audio, video).
* Exposure to AI governance, model monitoring, and responsible AI practices.
* Experience working in Agile/Scrum environments.
**Qualifications**
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* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
* Relevant certifications in AI/ML, Cloud, or Generative AI are preferred.
**What Success Looks Like**
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* Delivering production\-grade AI solutions that drive measurable business impact.
* Building scalable and reliable AI systems with strong performance and governance.
* Contributing to AI innovation and helping establish best practices across the organization.
**Why Join Us?**
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* Work on cutting\-edge AI and Generative AI initiatives.
* Collaborate with industry\-leading experts and global teams.
* Opportunity to shape the future of AI\-driven business transformation.
* Continuous learning, certification, and career growth opportunities.
Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.