Senior Consultant – Banking and Capital Markets - GenAI / Agentic Systems, Infosys Consulting The Role – What You’ll Do We are seeking a hands-on Financial Services 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, define solution 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. Here are some AI engagements our consultants are working on: • 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 Key Responsibilities • Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / 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 Mgmt., AML / KYC processes. • Build agent-based workflows using frameworks such as LangChain / 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 Required Skills • 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: • LangChain / similar frameworks • Claude / OpenAI / other LLM APIs • Working knowledge of: • Vector databases, embeddings, semantic search • API integrations and microservices Basic Qualifications • Bachelor’s degree or equivalent required • Prior work experience of 5-8 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 • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Qualifications / Skills • Exposure to Google ADK / agentic frameworks • Experience with knowledge graphs and graph-based retrieval • Understanding of banking / financial services domain • Familiarity with cloud platforms (Azure / AWS / GCP) • Data engineering basics (SQL, schema, profiling) • Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary • Candidates should be able to ramp up quickly with minimal support, take full ownership of assigned tasks, and consistently deliver against timelines and commitments. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - • Medical/Dental/Vision/Life Insurance • Long-term/Short-term Disability • Health and Dependent Care Reimbursement Accounts • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) • 401(k) plan and contributions dependent on salary level • Paid holidays plus Paid Time Off