Director – AI Engineering

ChennaiFull-Timeexecutive
OtherAi Engineering
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Quick Summary

Overview

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies.

Technical Tools
OtherAi Engineering
About ValGenesis 
ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. 
 
Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.valgenesis.com/about

About the Role:

  • Own end-to-end delivery of AI products and solutions, from requirements definition through deployment and post-launch optimization.
  • Partner with Product Management to ensure on-time, high-quality releases aligned with customer and regulatory requirements.
  • Drive execution of product roadmaps, ensuring alignment between engineering standards and delivery timelines.
  • Oversee implementation, integration, and validation of AI solutions within customer environments.
  • Establish delivery best practices, KPIs, and governance checkpoints across the product lifecycle.
  • Identify and mitigate delivery risks, including technical, regulatory, and customer-related challenges.
  • Ensure seamless handoff between product, delivery, and customer success teams.
  • Strong understanding of AI/ML and data science methodologies, including Generative AI, ML/DL, and statistical modeling.
  • Hands-on or leadership experience in building, validating, and deploying machine learning models in production environments.
  • Deep familiarity with MLOps practices, including model versioning, CI/CD pipelines, monitoring, drift detection, and lifecycle management.
  • Experience with modern data platforms and cloud ecosystems (e.g., AWS, Azure, GCP) and scalable data architectures.
  • Understanding of model explainability, fairness, and bias mitigation techniques, especially in regulated domains.
  • Ability to engage effectively with data scientists and engineers while translating technical concepts for non-technical stakeholders.
  • Define and operationalize AI governance frameworks aligned with global regulatory standards (e.g., GxP, HIPAA, GDPR, FDA guidance on AI/ML).
  • Establish policies for model validation, monitoring, explainability, bias mitigation, and auditability.
  • Lead AI risk management processes, including model lifecycle governance and incident response.
  • Partner with legal, regulatory, and quality teams to ensure adherence to evolving AI regulations.
  • Drive internal governance committees and review boards for AI model approvals.
  • Customer Relations & Strategic Engagement
    • Translate complex AI concepts into clear, business-relevant narratives for stakeholders.
    • Lead customer onboarding, adoption, and long-term success strategies.
    • Manage escalations related to AI performance, compliance, or ethical concerns.
    • Gather customer feedback to influence product roadmap and innovation priorities.
    • Thought Leadership & External Representation
      • Represent the company in industry forums, regulatory discussions, and customer workshops.
      • Contribute to whitepapers, audits, and regulatory submissions.
      • Stay ahead of emerging trends in AI regulation and digital health
  • Master’s or PhD in Life Sciences, Computer Science, Data Science, Regulatory Affairs, or related field.
  • 15+ years of experience across AI/ML, life sciences, and customer-facing roles.
  • Strong knowledge of regulated environments (GxP), clinical data, and healthcare compliance frameworks.
  • Proven experience in AI governance, risk management, or responsible AI.
  • Demonstrated success managing enterprise clients in pharma/biotech/healthcare.
  • 10+ years of experience in end-to-end solution delivery, including implementation, deployment, and lifecycle management of AI/analytics solutions.
  • Experience with AI/ML products in life sciences domain
  • Familiarity with FDA/EMA AI guidance and validation frameworks.
  • Background spanning both technical (AI/ML) and commercial/customer success roles.

Location & Eligibility

Where is the job
Chennai
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
April 27, 2026
First seen
April 27, 2026
Last seen
May 3, 2026

Posting Health

Days active
5
Repost count
0
Trust Level
45%
Scored at
May 3, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Valgenesis

ValGenesis Inc. is a leading provider of enterprise validation lifecycle management solutions (VLMS) for the life sciences industry, offering a digital transformation platform to manage compliance-based validation activities.

Employees
750
Founded
2005
View company profile
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ValgenesisDirector – AI Engineering