Solution Engineering Lead
Sign On Solutions Private Limited- Posted 3 hours ago
- Be among the first 10 applicants
Job Description
Solution Engineering Lead
Role Overview
We are seeking a Lead Implementation Consultant – AI Application Implementation to drive the successful deployment of Mareana's 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
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
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.
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.
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.
Requirements
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
- Behavioural & 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
More Info
About Company