Senior Associate, AI Solutions (India Team)

Portage Point Partners is a Chicago-headquartered advisory, interim management and investment banking firm focused on serving the middle-market. Backed by New Mountain Capital, the firm has grown at over 30% annually since its founding in 2016 and today operates from ten offices across the United States.

The firm delivers integrated financial and operational solutions across Transaction Advisory Services, Transaction Execution Services, Office of the CFO, Valuations, Performance Improvement, Turnaround & Restructuring and Investment Banking. Engagement teams are lean and execution-oriented, working directly with senior stakeholders to navigate complex transitions and transformations.

Triple P India (TPI) is a strategic extension of the firm’s platform, established to build a high-quality team that operates as an integrated part of U.S.-based teams. Professionals in TPI are involved in live engagements from the outset, contributing to analysis, execution and client deliverables in coordination with colleagues across the firm. The platform is designed to provide meaningful responsibility, direct exposure to senior leadership and long-term growth in a high-performance environment.

The Senior Associate, AI Solutions role at Portage Point represents a unique opportunity to contribute to the development and deployment of cutting-edge AI solutions that transform how the firm delivers consulting and advisory services. This Senior Associate will work within the AI Solutions team to build, test and iterate on agentic AI workflows and automation tools, translating consulting frameworks into scalable AI-driven products. This person will work closely with the Vice President, AI Solutions, collaborating across practice lines to deliver measurable impact. If you are eager to apply your technical skills in a high-performance, fast-paced consulting environment, this is the right role for you.

Responsibilities

Develop and deploy AI-powered solutions, agentic workflows and automation tools that support financial and operational advisory and operational excellence

Build, test and iterate on large language model (LLM) integrations, prompt engineering strategies and AI pipeline components to deliver reliable and scalable outputs

Use AI coding tools (e.g., Claude Code) to accelerate development, automate repetitive tasks and produce well-structured, maintainable code

Collaborate with data science, product and delivery teams to translate business requirements and consulting methodologies into functional AI prototypes and production-ready solutions

Support data pipeline development, model evaluation and quality assurance to ensure AI solutions meet performance, reliability and compliance standards

Conduct research on emerging AI tools, platforms and techniques and bring forward actionable recommendations

Assist in the documentation of AI workflows, technical specifications and best practices to support knowledge sharing and team scalability

Participate in internal training sessions and contribute to best practice development across the AI Solutions team

Support business development efforts by assisting with AI-related content, proposals and client presentations

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

Willing to relocate to or be primarily present in Gurgaon

Ability to collaborate across global time zones, including US-based teams

Three to five years of experience in AI/ML development, software engineering or a related technical discipline; consulting or professional services experience is a plus

Hands-on experience building and deploying LLM-powered applications, agentic workflows or AI automation solutions

Proficiency with AI coding tools such as Claude Code and strong coding fundamentals in Python or JavaScript

Familiarity with AI/ML frameworks, APIs and orchestration platforms; experience with tools such as OpenAI, Claude, LangChain, N8N or similar is preferred

Understanding of data engineering concepts, including data pipelines, structured and unstructured data processing and model evaluation

Awareness of responsible AI principles including bias detection, explainability and data privacy

Strong analytical and problem-solving skills with high attention to detail

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