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Infosys Consulting · Charlotte
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.)
LLMs and GenAI architectures
Prompt engineering and chaining techniques
Data processing and pipelines
LangChain / similar frameworks
Claude / OpenAI / other LLM APIs
Vector databases, embeddings, semantic search
API integrations and microservices
Basic
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
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
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.
Details
| Company | Infosys Consulting |
| Location | Charlotte |
| Type | FULL TIME |
| Niche | Full-time |