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:
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Improve Day in life of Wealth Advisor leveraging AI interventions such as – Client Profiling, Client Advisor Mapping, Meeting summarization, Next Best Action.
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Reduce false positives in Trade / AML Surveillance to ensure Compliance personnel are focusing their time on critical alerts.
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Faster onboarding of clients leveraging AI driven KYC processes – Negative News screening, Beneficial Ownership determination, Document information extraction and validation.
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Improve Operational processes leveraging AI / Gen AI – Corporate Actions, Reconciliations, Predict Settlement failures, etc
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Digitalization of Advisory Platforms covering end to end Advisory lifecycle from Prospecting to Portfolio Management
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Machine Learning driven personalization - life events, investment ideas, service alerts and assessment of client attrition risk
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Virtual Assistant - Cognitive Assistant Pilot (CAP) to guide Financial Advisors and Customer Support Associates in Salesforce.
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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
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Act as a Product Manager / Product Owner and work closely with architects, business SMEs, to develop business requirements and AI solutions
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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.
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Build agent-based workflows using frameworks such as LangChain / Google ADK / similar
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Develop RAG pipelines, semantic search, and knowledge-driven applications
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Implement prompt engineering, evaluation frameworks, and guardrails
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Perform testing, validation, of final solution to ensure conformity to business problems and optimization of AI models and pipelines
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Coordinate with business and technology stakeholders for program delivery
Required Skills
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Experience in financial services industry (Capital markets / Banking) and familiarity with Front office / Middle office / Back office operations or processes
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Understanding of the end to end value chain (wealth management, asset management, investment banking, etc.)
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Experience with defining AI related KPIs and building AI adoption business case
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Experience in Python-based AI/ML development
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Understanding of:
- LLMs and GenAI architectures
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Prompt engineering and chaining techniques
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Data processing and pipelines
- Understanding of Graph RAG and hands-on with one or more:
- LangChain / similar frameworks
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Claude / OpenAI / other LLM APIs
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Working knowledge of:
- Vector databases, embeddings, semantic search
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API integrations and microservices
Basic Qualifications
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Bachelor’s degree or equivalent required
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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.
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Strong problem-solving mindset
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Ability to work in fast-paced AI delivery pods
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Ability to travel up to 75%.
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Location – Dallas, Charlotte, NJ/NY
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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.
Preferred Qualifications / Skills
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Exposure to Google ADK / agentic frameworks
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Experience with knowledge graphs and graph-based retrieval
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Understanding of banking / financial services domain
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Familiarity with cloud platforms (Azure / AWS / GCP)
- Data engineering basics (SQL, schema, profiling)
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Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary
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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: -
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Medical/Dental/Vision/Life Insurance
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Long-term/Short-term Disability
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Health and Dependent Care Reimbursement Accounts
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Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
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401(k) plan and contributions dependent on salary level
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Paid holidays plus Paid Time Off
