Lead - Solution Engineering

Solution Engineering Lead

Location: Bangalore

Work Mode: Hybrid

Experience: 6–10 Years

Education: Bachelor’s degree in Computer Science, Engineering, or equivalent

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:

o Computer System Validation (CSV)

o 21 CFR Part 11 compliance

o GxP environment

o 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).
• Experience with PostgreSQL (Postgres).
• Strong understanding of AI/ML fundamentals.
• Good understanding of Data Engineering and Analytics.
• Experience working with enterprise-scale datasets.
• Good understanding of UI/UX principles and user-centric application design.
• Testing experience, including software testing, quality assurance, and application validation, is an added advantage.

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.
• Advanced Jira skills, including workflows, dashboards, and JQL.
• Ability to manage schedules, effort, scope, and Change Requests.
• Clear customer communication, escalation handling, and steering presentations.
• Hands-on experience with AI tools and workflow automation, such as Jira Automation, Microsoft Power Automate, or similar tools.
• Data literacy, including the ability to interpret dashboards, identify trends, and derive actionable insights.

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.

Nice to Have

• PMP, PRINCE2, or SAFe certification.
• Exposure to MES, LIMS, or process historians.
• Onsite–offshore delivery experience.