Desired Experience

- Senior AIML Engineer is a technically advanced individual contributor expected to independently lead solution design, own stakeholder engagement, drive architectural decisions, and take end-to-end accountability for delivery.
- Plan and decompose AI/ML initiatives into user stories, epics, and sprint-ready tasks using Agile/Scrum methodologies
- Evaluate and propose multiple solution options, articulating trade-offs in terms of complexity, cost, scalability, and time-to-value.
- Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistants
- Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines
- Design, build, and deploy machine learning models for classification, regression, NLP, and other AI use cases
- Build and maintain AI pipelines from data ingestion through model inference and serving
- Leverage evaluation tools and platforms (e.g. LangSmith, MLflow, Weights & Biases, or equivalent)
- Write clean, scalable, production-ready code in Python
- Build AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows, Pydantic AI for structured data validation and AI model integration
- Use VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot, Claude Code, and similar assistants to accelerate development productivity
- Manage source code, branching strategies, and CI/CD workflows using GitHub.



Collaborate with team members following Agile/Scrum methodologies

Valuable to have:

- Develop and manage data pipelines, ML workflows, and AI applications on the Databricks platform
- Build or contribute to internal AI-powered web applications using ReactJS and Python

Required Qualifications

- Bachelors Degree in Computer Science, Mathematics, or related field with 7+ years of progressively responsible experience in an IT technical role, including 2+ years in a senior or lead capacity.
- Demonstrated experience gathering requirements, designing solutions, and communicating technical concepts to non-technical stakeholders
- Experience planning and delivering projects using Agile/Scrum methodologies. Proven ability to create architectural and flow diagrams for complex AI/ML systems
- Experience in developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras etc
- Experience working on GenAI & Agentic Frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex etc
- Familiarity with LLM platform like Azure OpenAI, AWS Bedrock, Google Vertex AI etc

If you come across a role that intrigues you but doesn't line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Software Engineer (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad