Lead Implementation Consultant
First seen by Alion on Aug 6, 2026.
Lead Implementation Consultant - AI Applications
Location : Bangalore
Experience : 6 - 10 Years
About the Role :
We are looking for a Lead Implementation Consultant to drive the successful implementation of AI-powered enterprise applications for global pharmaceutical and life sciences clients. This role combines technical expertise, solution design, client engagement, and cross-functional leadership to deliver scalable, enterprise-grade solutions.
Key Responsibilities :
- Lead end-to-end implementation of AI-driven enterprise applications.
- Translate business requirements into scalable technical solutions.
- Design system architecture, data models, and integration strategies.
- Develop and optimize solutions using Python and Advanced SQL.
- Lead client workshops, requirement gathering sessions, and technical discussions.
- Collaborate with Product, Engineering, Data Science, QA, and DevOps teams.
- Manage implementation plans, technical risks, and stakeholder expectations.
- Ensure seamless integration with enterprise systems and client environments.
Required Skills :
- 6 - 10 years of experience in Implementation Consulting, Technical Consulting, or Solution Delivery.
- Strong hands-on experience with Python and Advanced SQL.
- Good understanding of Data Engineering, analytics, and enterprise-scale datasets.
- Knowledge of AI/ML fundamentals and enterprise application implementation.
- Experience working with ERP, MES, LIMS, or enterprise integration platforms.
- Strong client-facing communication and stakeholder management skills.
- Excellent analytical, problem-solving, and documentation skills.
Preferred Skills :
- Experience in the Pharmaceutical or Life Sciences domain.
- Knowledge of GxP, Computer System Validation (CSV), and 21 CFR Part 11.
- Exposure to manufacturing systems and regulated environments.
Why Join Us :
- Work on cutting-edge AI solutions for global pharmaceutical organizations.
- Lead enterprise-scale implementation programs with architectural ownership.
- Collaborate with Product, AI, Engineering, and Data Science teams.
- Gain exposure to global clients and high-impact digital transformation initiatives.
- Excellent opportunities for learning, leadership, and career growth.
Skills
Solution Design, Solution Implementation, SQL, Python, Data Engineering, Artificial Intelligence, Machine Learning, Data Modeling