Sr AI Engineer

Overview

Senior AI Engineer on the Forward Deployment Engineering team, building AI-powered applications using LLMs, agentic AI, enterprise data platforms and cloud technologies, delivering secure, scalable, production-ready solutions in a governed, regulated environment.

What you'll do

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

What you'll need

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

Nice to have

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

Details

• Location: Hyderabad.
• Work mode: Hybrid.
• Many roles are required to be performed on-site; speak with recruiter and hiring manager about on-site expectations.