Senior AI Engineer / Data Scientist (Agentic AI)

Job Description Senior AI Engineer / Data Scientist (Agentic AI) Experience: 8+ Years Location: Office Employment Type: Full-Time / Consultant Role Overview We are seeking a highly skilled Senior AI Engineer / Data Scientist with 8+ years of experience in building enterprise-scale AI, Machine Learning, Data Science, and Generative AI solutions. The ideal candidate should possess strong expertise in designing and implementing Agentic AI systems , multi-agent architectures, LLM orchestration frameworks, RAG pipelines, and AI-driven automation solutions. This role requires a mix of Data Science, AI Engineering, MLOps, Cloud Engineering, and Software Development skills to develop next-generation autonomous AI platforms that deliver measurable business outcomes. Key Responsibilities Agentic AI & Generative AI Design and develop Agentic AI solutions using autonomous and multi-agent frameworks. Build AI agents capable of reasoning, planning, tool usage, memory management, and workflow orchestration. Implement multi-agent systems for enterprise workflows, analytics, customer service, and decision intelligence. Develop AI copilots, virtual assistants, and autonomous business agents. Design AI orchestration architectures using: LangGraph LangChain AutoGen CrewAI OpenAI Agent Framework Microsoft Copilot Studio Large Language Models (LLMs) Fine-tune and optimize LLMs for enterprise use cases. Implement prompt engineering, prompt tuning, and evaluation frameworks. Develop RAG (Retrieval Augmented Generation) architectures. Build semantic search and knowledge retrieval solutions. Integrate vector databases such as: Azure AI Search Milvus Data Science & Machine Learning Develop predictive and prescriptive analytics models. Build recommendation systems and forecasting solutions. Apply advanced statistical analysis and machine learning techniques. Design feature engineering pipelines and model optimization strategies. Build and deploy models using: Scikit-Learn XGBoost TensorFlow PyTorch Hugging Face AI Engineering Responsibilities Develop scalable AI services and APIs. Build enterprise-grade AI microservices. Create reusable AI accelerators and frameworks. Design AI governance and observability frameworks. Implement AI monitoring and model performance tracking. Develop AI safety, guardrails, and responsible AI controls. Cloud & Platform Engineering Azure (Preferred) Azure OpenAI Azure AI Search Azure Machine Learning Other Cloud Platforms AWS Bedrock Amazon SageMaker Google Vertex AI Software Development Skills Strong hands-on programming expertise in: Python (Mandatory) SQL REST APIs GraphQL Experience with: FastAPI Microservices Architecture Event-Driven Architecture Required Qualifications Education Bachelor's or Master's degree in: Computer Science Data Science Artificial Intelligence Machine Learning Engineering Related Discipline Experience 8+ years in Data Science, Machine Learning, AI Engineering, or Software Engineering. 3+ years of hands-on experience with Generative AI and LLMs. 2+ years of hands-on experience implementing Agentic AI solutions. Experience delivering enterprise-scale AI platforms. Required Technical Skills Must Have ✅ Agentic AI Frameworks ✅ Generative AI & LLMs ✅ RAG Architecture ✅ Vector Databases ✅ Python Development ✅ Machine Learning & Data Science ✅ Azure AI Services ✅ MLOps & CI/CD ✅ REST APIs ✅ Cloud Architecture Good to Have ✅ Semantic Kernel ✅ Microsoft Fabric ✅ Databricks ✅ Knowledge Graphs ✅ GraphRAG ✅ Multi-Agent Systems ✅ AI Governance Frameworks ✅ Copilot Studio Preferred Certifications Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Data Scientist Associate Databricks Certified Data Engineer AWS Machine Learning Specialty Generative AI Certifications (Microsoft/OpenAI) Success Metrics Successful deployment of enterprise AI agents. Reduction in manual effort through AI automation. Increased model accuracy and business adoption. AI platform scalability, performance, and governance compliance. Delivery of measurable business value from Agentic AI initiatives. Target Titles Senior AI Engineer Lead AI Engineer Staff AI Engineer Principal AI Engineer Senior Data Scientist (Agentic AI) AI Solutions Architect