Infosys

AI Engineer - GenAI / Agentic Systems - Financial Services - Infosys Consulting

Infosys$116K — $148K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent required
  • 5-8 years of experience in management consulting or advisory roles within the Capital Markets industry
  • Strong problem-solving skills
  • Ability to thrive in fast-paced AI delivery teams
  • Hands-on coding experience combined with solution-oriented thinking
  • Familiarity with the banking and financial services industry
  • Willingness to travel up to 75%

Responsibilities

  • Collaborate with banking stakeholders to identify problems and lead solution design
  • Design and develop GenAI solutions using large language models (LLMs)
  • Build agent-based workflows with frameworks like LangChain or Google ADK
  • Develop retrieval-augmented generation (RAG) pipelines and semantic search applications
  • Implement prompt engineering and create evaluation frameworks
  • Translate business requirements into AI solutions in conjunction with architects and product owners
  • Conduct testing, validation, and optimization of AI models and pipelines
  • Coordinate program delivery with business and technology teams

Benefits

  • Medical, Dental, and Vision Insurance
  • Life Insurance
  • Long-term and Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance options including Accident and Critical Illness
  • 401(k) plan with employer contributions based on salary
  • Paid holidays and Paid Time Off
Full Job Description
Job details

Job Role

Senior Associate - Business Consulting

Work Location

Basking Ridge, NJ, Charlotte, NC, Dallas, TX, New York, NY

State / Region / Province

New Jersey, New York, North Carolina, Texas

Country

USA

Skills

Process|Consulting processes|Technology Consulting process

Domain

Consulting

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

149355BR

Salary min

116875

Salary max

148125

Senior Consultant - GenAI / Agentic Systems, Infosys Consulting

The Role - What You'll Do

We are seeking a hands-on AI Engineer / consultant with a background in financial services to design, build, and scale GenAI-powered solutions for banking and financial services. The role focuses on LLM application development, agent orchestration, and data-driven AI pipelines to be developed for specific financial services use cases.

Key Responsibilities
  • Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / lead solution design
  • Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.)
  • 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
  • Work closely with architects, SMEs, and product owners to translate business requirements into AI solutions
  • Perform testing, validation, and optimization of AI models and pipelines
  • Coordinate with business and technology stakeholders for program delivery

Required Skills
  • 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
  • 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
  • Exposure to Financial services domain
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 Capital Markets industry.
  • Strong problem-solving mindset
  • Ability to work in fast-paced AI delivery pods
  • Balance of hands-on coding + solution thinking
  • Familiarity with banking and financial services domain
  • 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

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

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