Ass Principal

Acura Solutions; Hyderabad, Pune District, Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Acura Solutions in Hyderabad is seeking an experienced AI/ML consultant to shape and deliver innovative cloud-based solutions for Pharma and Life Sciences. You will lead cross-functional teams, engage with client stakeholders, and translate complex use cases into actionable AI deployments.

Expect to drive opportunity shaping, proposals, and client storytelling around AI capabilities, with a focus on clinical development, RWD, omics, and regulated environments.

Qualifications

• Strong experience delivering AI/ML and analytics-driven consulting engagements.
• Knowledge of supervised learning, unsupervised learning, Generative AI, LLMs, and Agentic AI.
• Experience working with clinical trial data, real-world data (RWD), omics, and structured/unstructured datasets.
• Consulting and client stakeholder management experience.
• Project leadership and team management skills.

Responsibilities

• Support and contribute to the sales cycle, including opportunity shaping, proposal development, client presentations, and solution design.
• Act as a trusted day-to-day advisor to client stakeholders across Pharma and Life Sciences organizations.
• Identify opportunities where AI-driven simulation and optimization can deliver measurable value in Clinical R&D.
• Lead the delivery of innovative AI projects, including emerging and first-in-class AI solutions. Develop compelling client narratives and value propositions around AI capabilities.
• Own project execution, ensuring quality, timelines, and client satisfaction.
• Lead cross-functional teams comprising consultants, data scientists, engineers, and clinical experts.
• Contribute to foundation model initiatives and translate them into client-ready applications.
• Design and implement scalable AI solutions across clinical development use cases.
• Collaborate with technology partners across AI, cloud, and analytics ecosystems.
• Support capability development, mentoring, and thought leadership activities.
• Foster an agile, collaborative, and impact-driven project culture.

Skills

AI/ML delivery

Analytics consulting

Generative AI

LLMs

Agentic AI

Clinical trial data

Real-world data

Omics data

Consulting skills

Stakeholder mgmt

Project leadership

Team management

Ambiguous environments

Communication skills

Problem solving

Solution architecture

Job description

Role & responsibilities

Support and contribute to the sales cycle, including opportunity shaping, proposal development,

client presentations, and solution design.

• Act as a trusted day-to-day advisor to client stakeholders across Pharma and Life Sciences

organizations.

• Identify opportunities where AI-driven simulation and optimization can deliver measurable value in

Clinical R&D.

• Lead the delivery of innovative AI projects, including emerging and first-in-class AI solutions. Develop compelling client narratives and value propositions around AI capabilities.


• Own project execution, ensuring quality, timelines, and client satisfaction.


• Lead cross-functional teams comprising consultants, data scientists, engineers, and clinical experts.


• Contribute to foundation model initiatives and translate them into client-ready applications.


• Design and implement scalable AI solutions across clinical development use cases.


• Collaborate with technology partners across AI, cloud, and analytics ecosystems.


• Support capability development, mentoring, and thought leadership activities.


• Foster an agile, collaborative, and impact-driven project culture.

Preferred candidate profile

Strong experience delivering AI/ML and analytics-driven consulting engagements.

• Knowledge of supervised learning, unsupervised learning, Generative AI, LLMs, and Agentic AI.


• Experience working with clinical trial data, real-world data (RWD), omics, and structured/unstructured datasets.


• Consulting and client stakeholder management experience.


• Project leadership and team management skills.


• Ability to work effectively in ambiguous and fast-paced environments.


• Strong communication, presentation, and problem-solving skills.


• Understanding of AI solution architecture and deployment.