Agentic AI Process Expert - Sr Consultant

Eli Lilly And Company; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Eli Lilly And Company seeks an AI/ML leader to drive the build-out of an in-house, next-best action recommendation engine platform (VERSO) for sales and marketing. You will design, deploy, and govern agentic AI solutions, collaborating with cross-functional teams and leveraging Azure AI services to improve decision making and customer experience.

The role requires 6+ years in AI/ML, strong prompt engineering, and experience with enterprise data integration, governance, and AI workflow

Qualifications

• 6+ years in AI/ML, advanced analytics or digital transformation roles.
• Proven hands-on experience designing, building, and deploying Agentic AI solutions using LLMs and multi-agent architectures.
• Experience establishing end-to-end AI processes: agent design, tool integration, governance, monitoring, evaluation.

Responsibilities

• Operate the omnichannel recommendation engine platform (VERSO) to drive SF and marketing campaigns.
• Translate business problems into AI-enabled solutions with measurable outcomes and strong stakeholder communication.

Skills

AI/ML Expertise

Agentic AI

LLMs

Multi-agent Architecture

Prompt Engineering

RAG & Vector DBs

AI Ops / MLOps

Stakeholder Mgmt

Cross-functional Leadership

Cloud Experience (Azure)

Education

Masters in CS/AI

PhD preferred

Tools

Azure AI Services

Azure OpenAI

Databricks

Microsoft Fabric

Job description

Job Summary

As Lilly strives to achieve these objectives, we have embarked on building and in-housing a state-of-the-art next-best action recommendation engine platform to enable more agile sales and marketing operations. This platform will ingest a wide variety of data sources, run advanced personalized marketing models, and integrate seamlessly with all other Lilly SF and marketing operations platforms to provide recommendations on what should we do next to the sales and marketing teams at the individual doctor level, enabling better decision making and improving customer experience.

As part of this team, we are excited to welcome professionals interested in driving cutting-edge technology-driven business operations, with a focus on quality assurance and continuous improvement. This team will be responsible for operating the omnichannel recommendation engine platform (VERSO) which will drive SF and marketing campaigns for Eli Lilly USA.

Responsibilities

• Operate the omnichannel recommendation engine platform (VERSO) which will drive SF and marketing campaigns for Eli Lilly USA.

Requirements

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline.
• 6+ years of experience in AI/ML, advanced analytics, digital transformation, or intelligent automation roles.
• Proven hands-on experience designing, building, and deploying Agentic AI solutions using LLMs, AI agents, orchestration frameworks, and multi-agent architectures.
• Experience establishing end-to-end AI processes, including agent design, tool integration, governance, monitoring, evaluation, and continuous improvement.
• Hands-on experience integrating AI solutions with enterprise systems, APIs, databases, and cloud platforms (Azure preferred).
• Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI workflow optimization.
• Experience defining AI operating models, standards, best practices, and scalable delivery frameworks.
• Demonstrated ability to translate ambiguous business problems into AI-enabled solutions and measurable outcomes.
• Strong stakeholder management and communication skills, with the ability to influence technical and non-technical audiences.
• Proven ability to lead cross-functional teams and drive adoption of emerging technologies in a fast-paced environment.
• Strong analytical mindset, problem-solving abilities, and a continuous learning orientation.

Preferred qualifications

• Experience implementing Agentic AI at enterprise scale with measurable business impact.
• Knowledge of MLOps, LLMOps, AI governance, responsible AI, and model lifecycle management practices.
• Experience with Azure AI Services, Azure OpenAI, Databricks, Microsoft Fabric, or similar cloud-native AI ecosystems.
• Familiarity with process mining, intelligent automation, and workflow transformation initiatives.
• Exposure to healthcare, pharmaceutical, life sciences, or commercial operations domains.
• Experience mentoring teams and establishing AI capability-building programs.
• Industry certifications in Azure AI, Data Science, Machine Learning, Cloud Architecture, or related domains.
• Experience working in Agile product teams and partnering with business stakeholders to deliver digital transformation programs.
• Published thought leadership, conference presentations, open-source contributions, or participation in AI innovation communities.

Disclaimer: This job posting and Location 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.