M&A AI & Technology Lead

Requirements

• Job Description: Job Summary We are looking for a driven and entrepreneurial M&A AI & Technology Lead to join our India Corporate Development team.
• This is a newly created role that sits at the intersection of artificial intelligence, technology, and M&A — purpose-built to help Volaris India become one of the most data-driven and AI-enabled acquisition teams in the industry.
• You will work closely with the CD Director, Portfolio Manager, and the broader M&A team to identify, design, and deploy AI-powered tools and workflows that dramatically improve how we source targets, conduct research, score companies, engage founders, and execute transactions.
• This is a rare opportunity to shape how a globally scaled acquirer — backed by Constellation Software — uses AI in one of the world’s fastest-growing software markets.
• Responsibilities AI Tool Development & Deployment Design, build, and maintain AI-powered tools that enhance the productivity of the M&A team across the full deal lifecycle — from initial sourcing through LOI and close Build agentic research workflows that automate market mapping, target identification, and company intelligence gathering for Indian vertical market software businesses Deploy LLM-based systems for first-pass scoring and qualification of acquisition targets against Volaris’s investment
• Technical & AI Deep hands-on
• experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic workflow frameworks (e.g., LangChain, LlamaIndex, or equivalent) Strong proficiency in Python; comfortable building and deploying data pipelines, APIs, and automation scripts
• Experience with AI application development platforms (e.g., Anthropic Claude API, OpenAI API, Google Gemini, or similar) Familiarity with web scraping, structured data extraction, and working with unstructured text at scale
• Experience integrating AI tools with CRM systems (Salesforce preferred) and business productivity tools Knowledge of data storage, vector databases, and cloud infrastructure (AWS, GCP, or Azure) is an asset Business & M&A Acumen Strong understanding of corporate development, M&A processes, and the software industry — particularly vertical market software Ability to translate complex M&A workflows into structured, automatable processes Comfort reading and interpreting financial statements, cap tables, and
• Qualifications Undergraduate degree in Computer Science, Engineering, Mathematics, or a related technical field; advanced degree or MBA is an asset 3–7 years of professional experience, including meaningful hands-on work in AI/ML application development Prior exposure to M&A, investment banking, private equity, venture capital, or a corporate development function is a strong asset Demonstrated portfolio of AI tools, applications, or automation workflows built and deployed in a professional context