Generative AI Developer

Job Summary If you are a professional looking for an opportunity to work with the global Emerson Systems and Software organization, this is a stimulating opportunity for you The Generative AI Developer focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation, reasoning, and decision-making. The ideal candidate will have hands-on proficiency with Python, AI/ML frameworks, multi-agent orchestration platforms, prompt engineering and cloud-native environments to ensure scalable, secure, and production-ready solutions. In this role, your responsibilities will be: Designing, fine-tuning, and deploying advanced GenAI models (LLMs, Diffusion, GANs, VAEs, Transformers, GNNs) for multimodal, NLP, and autonomous agentic applications. Engineering end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP. Integrating vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and contextual reasoning. Optimizing foundation models (GPT-4, LLaMA, Mistral, Falcon) via prompt engineering, RLHF, LoRA, quantization, and hyperparameter tuning. Building scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker, Kubernetes). Applying MLOps best practices: CI/CD, model versioning, drift detection, observability, and lifecycle management with MLflow, Kubeflow, Airflow, and monitoring tools. Developing secure AI pipelines and APIs with Python, FastAPI/Flask, RBAC, OAuth2, JWT, and encryption standards. Conducting model optimization: prompt engineering, hyperparameter tuning, cross-validation, and performance monitoring. Using tools like Azure Machine Learning, OpenAI API, HuggingFace, or custom PyTorch/TensorFlow-based models. Implementing AI safety, bias mitigation, interpretability (SHAP, LIME, and compliance guardrails (GDPR, HIPAA, ISO). Collaborating with cross-functional teams to deliver enterprise-grade copilots, assistants, and reusable AI components. Documenting AI design, model workflows, and deployment pipelines for audit readiness and knowledge sharing. Building scalable AI applications using MLOps, CICD, containerization (Docker, Kubernetes) and deploy on Azure AI Infrastructure (preferred) or AWS if needed. Who You Are: You encourage diverse thinking to promote and nurture innovation. You readily take action on challenges, without unnecessary planning. You have a strong bottom-line orientation. For this Role You Will Need: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field of at least over 7+ years. Proven experience as a Gen AI Developer or in a similar role and proficiency in Python Strong Experience with Agentic Solution Development, RAG, Deep Learning, Prompt Engineering, Natural Language Processing (NLP), computer vision, optimization while maintaining performance techniques. Strong understanding and practical knowledge of LLMs, embeddings, RAG, and Vector Search. Proficient in prompt engineering and conversational AI solution design. Experience with AI on Azure (must), including Azure OpenAI, Azure ML, and related services. Deep hands-on experience in Python, CUDA, SQL, proficient with TensorFlow, PyTorch, Keras. Familiarity with security, bias mitigation, and responsible AI frameworks. Experience with MLOps practices and tools for deploying, tracking, and updating models. Knowledge of ML algorithms (e.g., CNNs, RNNs, SVMs, Random Forests, k-NN, Naïve Bayes). Excellent problem-solving, communication, and team collaboration skills. Preferred Qualifications: Certifications in AI/ML from Microsoft, AWS or Coursera/edX. Exposure to enterprise use cases in industries such as manufacturing, finance and other. Experience with AutoML, LLMOps, and performance benchmarking tools. Understanding of semantic search, knowledge graphs, and contextual recommendation engines. Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102), Azure Developer Associate, Experience with big data technologies Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.