Sr AI Engineer

Overview

Senior Engineer, AI on the Forward Deployment Engineering team, building AI-powered applications using LLMs, agentic AI, enterprise data platforms and cloud technologies, in partnership with business stakeholders, engineering and data teams.

What you'll do

• Develop AI-powered applications using Large Language Models (LLMs), agentic AI workflows, retrieval-augmented generation (RAG), and enterprise data platforms.
• Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and business decision-making.
• Collaborate with business stakeholders to understand challenges and translate requirements into scalable AI solutions that deliver measurable value.
• Design, develop, and maintain data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data.
• Build and implement evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness.
• Partner with engineering, data, and platform teams to ensure AI solutions are scalable, reliable, secure, and aligned with enterprise architecture standards.
• Participate in the complete AI solution lifecycle, including assessment, planning, design, development, testing, deployment, and continuous improvement.
• Contribute to technical documentation, design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance.
• Support responsible AI practices by implementing data privacy controls, governance standards, risk mitigation approaches, and regulatory requirements.
• Stay ahead of advancements in generative AI, foundation models, agent architectures, and emerging technologies to help drive innovation across the organization.
• Foster a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams.

What you'll need

• Bachelor's, Master's, or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
• 3-5 years of hands-on experience building software, data, analytics, or AI-driven applications.
• Experience developing AI applications using Large Language Models (LLMs), agent workflows, retrieval-augmented generation (RAG), prompt engineering, and enterprise system integrations.
• Strong proficiency in Python, SQL, APIs, and modern software engineering practices for developing scalable AI solutions.
• Experience with enterprise data platforms such as Databricks, Snowflake, or similar cloud-based analytics environments.
• Hands-on experience building data pipelines, integrations, and data processing solutions that support AI workloads.
• Familiarity with AI evaluation methodologies, testing frameworks, observability practices, and quality measurement approaches.
• Knowledge of data governance concepts, including metadata management, data lineage, data quality, cataloging, and access control.
• Understanding of responsible AI principles, model governance, privacy regulations, risk management, and compliance requirements.
• Experience working with cloud platforms such as AWS, Azure, or GCP and integrating AI solutions into enterprise environments.
• Strong analytical, problem-solving, communication, and collaborator management skills, with the ability to explain complex technical concepts to non-technical audiences.
• Demonstrated ability to collaborate effectively across global teams and operate successfully in a dynamic and evolving technology environment.

Nice to have

• Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries.

Details

• Location: Hyderabad.
• Work mode: Hybrid.
• Background checks may be conducted in accordance with the laws of the country where the position is based.