Director/Sr. Director - GenAI

Axtria; Delhi; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Axtria seeks a GenAI Leader with 12+ years of experience in pharma/life sciences to drive innovative AI solutions for commercial and clinical spaces. You will lead high-performing teams, mentor staff, and deliver enterprise-grade GenAI deployments, while engaging in consultative selling to grow the Data Science Practice.

You will design end-to-end AI solutions, build scalable processes, and establish Axtria's thought leadership through collaboration with academia and industry speakers.

Qualifications

• 12+ years of experience in AI, with pharma/life sciences background.
• Proven track record in Generative AI and enterprise-grade deployments.
• Hands-on experience with modern GenAI models and tooling.

Responsibilities

• Lead data science practice and build an expert team.
• Design cutting-edge AI solutions for pharma commercial and clinical use.
• Mentor staff and establish best practices in data science.
• Engage with clients with consultative selling to grow business.
• Operationalize scalable processes for large client engagements.

Skills

GenAI leadership

Pharma/Life sciences AI

GPT/DALL-E/Stable Diffusion expertise

Python/R/Julia

Team leadership

Consultative selling

Model deployment & productization

Job description

We are looking for a GenAI Leader with 12+ years of experience and a strong background in pharma/life sciences to join our team.

As a key leader, you will drive innovation in the pharma commercial and clinical space by designing cutting-edge AI solutions, leading high-performing teams, and delivering impactful results.

If you have a proven track record in Generative AI, hands-on experience with models like GPT, DALL-E, and Stable Diffusion, and a passion for mentoring and thought leadership, we want to hear from you!

Must have skills & competencies

Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice.Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment.Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives.Engaging in consultative selling with clients to grow/deliver business.Develop and operationalize scalable processes to deliver on large & complex client engagements.Proven experience in building and productizing GenAI app at an enterprise levelEnsure profitable delivery and great customer experience design the end-to-end solution, put together the right team and help them deliver as per established processes.Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery leaders for the Data Science Practice.Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development.Write white papers, collaborate with academia and participate in relevant speaker opportunities to continuously upgrade learning & establish Axtria's thought leadership in this space. Research, develop, evaluate and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks.Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications.Pr...

Good to have skills & competencies

Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions.Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications.Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals. .