Job Description

Portage Point Partners is a Chicago headquartered, middle market focused advisory, interim management and investment banking firm with a national footprint across ten US offices. It delivers deeply integrated, cross functional solutions across Transaction Advisory, Valuations, Investment Banking, Turnaround & Restructuring, Performance Improvement, Transaction Execution Services and Office of the CFO services. Backed by 160+ experts with blue-chip consulting, finance, operations and investing backgrounds, the firm brings a uniquely holistic perspective to complex financial and operational situations.

The firm is known for its high impact, high pace execution model and has grown rapidly since inception in 2016.

The Vice President, AI Solutions role at Portage Point represents a unique opportunity to lead the end-to-end design, development and delivery of AI-driven solutions that redefine how the firm operates and serves its clients. This Vice President will own discrete AI product workstreams, guide junior team members, report to the Director of AI Solutions and collaborate with senior stakeholders to bring scalable agentic AI platforms to life. This person will bridge technical depth and business acumen, translating complex consulting frameworks into production-ready AI workflows. If you are a technically strong leader who thrives in high-performance environments and wants to drive the future of AI in consulting, this is the right role for you.

Responsibilities

• Lead the design, development and delivery of agentic AI solutions and automation workflows that encode Portage Point’s financial and operational advisory methodologies into scalable, reliable platforms
• Own end-to-end AI product workstreams from requirements gathering and prototyping through deployment, monitoring and iteration
• Apply AI coding tools (e.g., Claude Code) to drive rapid, high-quality development and establish engineering best practices for the AI Solutions team
• Collaborate with Practice Line Leaders, Delivery Enablement teams and domain experts to translate business requirements into AI-powered product features and workflows
• Manage and mentor junior team members, providing technical guidance, code reviews and professional development support
• Evaluate and integrate emerging AI tools, LLM platforms and orchestration frameworks, recommending and implementing the most impactful technologies
• Define and enforce AI governance standards including prompt safety, data privacy, bias mitigation and responsible AI practices across all workstreams
• Drive measurable impact by tracking solution performance, adoption metrics and ROI, and iterating based on stakeholder feedback
• Lead internal knowledge sharing sessions, training and documentation efforts to scale AI capability across the firm
• Support business development efforts by contributing to AI-related proposals, client presentations and solution demonstrations
• Support talent acquisition and firm-building initiatives
• Contribute to a high-performing, inclusive and values-driven culture

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or a related technical field from a top undergraduate program; MBA or advanced degree preferred
• Willing to relocate to or be primarily present in Gurgaon
• Ability to collaborate across global time zones, including US-based teams
• Five to nine years of progressive experience in AI/ML development, software engineering or a related technical discipline; management consulting or professional services experience is a plus
• Proven track record of building and delivering LLM-powered applications, agentic AI solutions and automation workflows at scale
• Expert-level proficiency with AI coding tools such as Claude Code and strong development skills in Python or JavaScript
• Deep experience with AI/ML frameworks, APIs and orchestration platforms including tools such as OpenAI, Claude, LangChain, N8N, Zapier or similar
• Strong understanding of data engineering, model evaluation, MLOps and modern software development practices
• Demonstrated ability to embed responsible AI principles, including bias detection, explainability and data privacy, into production AI systems
• Proven ability to manage and mentor junior team members and drive delivery across cross-functional teams
• Superior written and verbal communication skills, including executive-ready presentation and reporting skills
• Proven ability to thrive in lean, fast-moving teams
• High attention to detail, responsiveness and ownership mindset
• Track record of success in high-pressure environments
• Ability to convey technical concepts to non-technical stakeholders