Solution Engineering Lead
Company Description Nouveau Labs Pvt. Ltd. is a product platform and software engineering services company headquartered in Bangalore, with a Sales & Marketing office in San Jose. Led by industry veterans in software engineering and sales, the company partners with global technology organizations and start-ups building digital products and platforms. Nouveau Labs focuses on delivering innovative product engineering services and out-of-the-box solutions, leveraging expertise in Artificial Intelligence, Machine Learning, Analytics, Automation, Robotics, Cloud, Wireless, Unified Communications, Embedded Systems, and Mobility. The company also builds platforms and solutions that accelerate clients’ product development. Team members work in a culture that values strong people practices, long-term commitment, transparency, passion, and a collaborative, family-like environment.
Role Overview
We are seeking a Solution Engineering Lead – 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
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 integrationClient 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.
RequirementsCore 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 environmentsPreferred 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.