Lead Implementation Consultant - AI Apps

Role Overview:

We are seeking a Lead Implementation Consultant AI Application Implementation to drive the successful deployment of AI-based enterprise applications across global pharmaceutical clients.

This role requires a strong blend of technical depth, architectural thinking, client facing capability, and cross-functional leadership. The candidate will lead implementation programs, translate business requirements into scalable technical designs, and ensure high-quality, compliant deployments.

Key Responsibilities:1. Technical Leadership & Solution Design:

• Lead end-to-end implementation of AI-driven enterprise applications.

• Understanding of system design, data models, integration strategy, and performance optimization frameworks.

• Ensure best practices in Python development, SQL optimization, and AI model integration.

2. Client Engagement & Stakeholder Management:

• Lead solution walkthroughs, requirement clarification sessions, and technical discussions.

• Manage expectation alignment across business, IT, and compliance stakeholders.

• Provide periodic updates on technical progress, risks, and mitigation plans.

• Act as the technical interface for clients.

3. Multi-Team Collaboration:

• Coordinate with Product, Data Science, Engineering, QA, and DevOps teams.

• Drive planning and implementation tracking.

• Identify technical risks early and propose mitigation strategies.

• Ensure seamless integration between internal product teams and client IT teams.

4. Compliance & Quality (Nice to Have Strong Advantage):

• Exposure to Pharma Manufacturing processes.

• Understanding of:

• Computer System Validation (CSV)

• 21 CFR Part 11 compliance

• GxP environment

• Quality and compliance frameworks

• Support documentation for validation, audits, and regulatory reviews.

Core Technical Skills:

• Hands-on expertise in Python.

• Advanced SQL (complex joins, performance tuning, query optimization).

• Strong understanding of AI/ML fundamentals.

• Good Understanding on Data Engineering and analytics.

• Experience working with enterprise-scale datasets.

Behavioral & Leadership Competencies:

• Strong client communication skills.

• Ability to manage multiple parallel implementations.

• Structured problem-solving mindset.

• Strong documentation and presentation skills.

• Ownership-driven with execution focus.

• Ability to work in hybrid cross-functional environments.

Preferred Industry Experience:

• Experience working with pharmaceutical or life sciences clients.

• Exposure to manufacturing data systems (ERP, MES, LIMS).

• Understanding of digital transformation programs in regulated industries.