Technical Lead - AI & Data Solutions (Life Sciences)

Predactica™ · India

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.

• 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.

• 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.

• 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.

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.