Technical Lead - AI & Data Solutions (Life Sciences)

Position Summary
Predactica is seeking a hands-on Technical Lead to guide an India-based engineering team delivering AI, data, analytics, and automation solutions for a global life-sciences R&D organization.
This role combines technical leadership with team and delivery ownership. You will remain actively involved in solution architecture, design reviews, code reviews, technical problem-solving, and demonstration preparation while ensuring the team makes realistic commitments and delivers them.
This is not a project-manager, Scrum Master, or PMO position. Candidates must have recent hands-on experience delivering production AI or data solutions.
Key Responsibilities
Lead an engineering team working across AI, GenAI, data engineering, analytics, and automation.
Translate business requirements into technical designs, tasks, estimates, and acceptance criteria.
Review architecture, code, data flows, model behavior, testing approaches, and production readiness.
Contribute to prototyping, troubleshooting, and implementation when required.
Allocate work, mentor engineers, challenge estimates, and manage technical dependencies.
Own delivery commitments, risks, quality, and timely completion of deliverables.
Prepare and present solution demonstrations to business and R&D stakeholders.
Communicate progress, technical trade-offs, blockers, and decisions clearly to US-based client stakeholders.
Apply appropriate security, validation, auditability, and human oversight for regulated solutions.
Required Qualifications
9–15 years of experience delivering enterprise AI, data, analytics, or software solutions.
Recent hands-on experience with Python, SQL, APIs, cloud data platforms, or AI/ML engineering.
Production experience with one or more of the following: machine learning, generative AI, RAG, agentic AI, data engineering, advanced analytics, or intelligent automation.
Experience leading a technical team of approximately 5–12 engineers.
Ability to review technical designs and code and challenge engineering estimates.
Experience in pharmaceuticals, biotechnology, clinical research, medical affairs, life-sciences R&D, or regulated healthcare data.
Experience preparing and presenting technical demonstrations to nontechnical stakeholders.
Experience with Microsoft Azure or AWS.
Strong written and verbal communication skills.
Availability for regular collaboration with US-based stakeholders.
Preferred Experience
Pharmaceutical R&D, clinical, regulatory, pharmacovigilance, laboratory, or scientific-data solutions.
AI evaluation, guardrails, model monitoring, auditability, or human-in-the-loop controls.
Power BI, data pipelines, cloud architecture, CI/CD, and production deployment.
About Predactica
Predactica builds AI solutions and AI-ready data foundations that help enterprises move applications from pilot to production. Our teams work as an extension of client organizations, combining technical execution with accountable delivery.

Work arrangement
No