AI Principal Consultant - GenAI​/Agentic Systems - Financial Services - Consulting

Principal Consultant – Banking and Capital Markets - GenAI / Agentic Systems, Infosys Consulting

We are seeking a hands‑on Financial Services Principal Consultant with AI experience to design, build, and scale GenAI‑powered solutions for banking and financial services. The role focuses on understanding business pain points, defining solutions leveraging AI techniques, with experience in LLM application development, agent orchestration, and data‑driven AI pipelines to be developed for specific financial services use cases.

• Improve Day in life of Wealth Advisor leveraging AI interventions such as client profiling, client advisor mapping, meeting summarization, next best action.
• Reduce false positives in Trade / AML Surveillance to ensure compliance personnel are focusing their time on critical alerts.
• Faster onboarding of clients leveraging AI‑driven KYC processes – negative news screening, beneficial ownership determination, document information extraction and validation.
• Improve operational processes leveraging AI / Gen AI – corporate actions, reconciliations, predict settlement failures, etc.
• Digitalization of advisory platforms covering end‑to‑end advisory lifecycle from prospecting to portfolio management.
• Machine‑learning driven personalization – life events, investment ideas, service alerts and assessment of client attrition risk.
• Virtual assistant – cognitive assistant pilot (CAP) to guide financial advisors and customer support associates in Salesforce.
• Comprehensive portal to do a “best match” and find a financial advisor (individual or teams) by name, nearby location, gender and international wealth FAs and teams.

• Work with business stakeholders (banking and financial services) to identify the problem statement and participate in or lead solution design.
  
  E.g., understand day in life of an advisor, identify critical manual flows and define potential solutions.
• Act as a product manager / product owner and work closely with architects, business SMEs, to develop business requirements and AI solutions.
• Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.) to solve business problems such as improving advisor productivity, operations efficiency in areas such as corporate actions, portfolio management, AML/KYC processes.
• Build agent‑based workflows using frameworks such as Lang Chain / Google ADK / similar.
• Develop RAG pipelines, semantic search, and knowledge‑driven applications.
• Implement prompt engineering, evaluation frameworks, and guardrails.
• Perform testing, validation of final solution to ensure conformity to business problems and optimization of AI models and pipelines.
• Coordinate with business and technology stakeholders for program delivery.

• Experience in financial services industry (capital markets / banking) and familiarity with front office / middle office / back office operations or processes.
• Understanding of the end‑to‑end value chain (wealth management, asset management, investment banking, etc.).
• Experience with defining AI related KPIs and building AI adoption business case.
• Experience in Python‑based AI/ML development.
• Understanding of:
  • LLMs and GenAI architectures
  • Prompt engineering and chaining techniques
  • Data processing and pipelines
• Understanding of Graph RAG and hands‑on with one or more:
  • Lang Chain / similar frameworks
  • Claude / OpenAI / other LLM APIs
• Working knowledge of:
  • Vector databases, embeddings, semantic search
  • API integrations and microservices

• Bachelor’s degree or equivalent required.
• Prior work experience of 8–12 years either in management consulting or directly working on advisory business, technology or operational change initiatives in financial services industry.
• Strong problem‑solving mindset.
• Ability to work in fast‑paced AI delivery pods.
• Ability to travel up to 75 %.
• Location – Dallas, Charlotte, NJ/NY.
• U.S. citizens and those authorized to work in the U.S. are encouraged to apply. Infosys will not sponsor H‑1B or other work authorization for this role at this time.

• Exposure to Google ADK / agentic frameworks.
• Experience with knowledge graphs and graph‑based…