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FS/ AI Engineer - GenAI / Agentic Systems - FS - Infosys Consulting

BrassRing 25633 / 5439 · Active · IBM Kenexa BrassRing

Job facts

FieldValue
CompanyBrassRing 25633 / 5439
TitleFS/ AI Engineer - GenAI / Agentic Systems - FS - Infosys Consulting
Normalized title-
Department / team-
LocationCharlotte, NJ, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerIBM Kenexa BrassRing
Posted / first seen— / 2026-06-13
Changed / last seen2026-06-19 / 2026-06-20

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City jobsActive postings in Charlotte.Open
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Linked records

CompanyBrassRing 25633 / 5439
Source0e748c41-a187-4d01-b50f-a25125e6422e
ATS providerIBM Kenexa BrassRing

Description

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 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 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

Full job record

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Org ID13d943b8-b105-4254-9f0f-f09ef59e9f04
Source ID0e748c41-a187-4d01-b50f-a25125e6422e
Board ID0e748c41-a187-4d01-b50f-a25125e6422e
Provideribm_kenexa_brassring
Provider Job Key2246889
TitleFS/ AI Engineer - GenAI / Agentic Systems - FS - Infosys Consulting
Normalized Title—
Statusactive
Activeyes
Location Text—
Department—
Team—
Employment Type—
Workplace Type—
Remote Policy—
CountryUnited States
RegionNJ
CityCharlotte
Salary Raw—
Salary Min—
Salary Max—
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Source URLhttps://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25633&siteid=5439&jobid=2246889
Apply URLhttps://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25633&siteid=5439&jobid=2246889
First Seen At2026-06-13 10:27:12Z
Last Seen At2026-06-20 10:26:54Z
Last Checked At2026-06-20 10:26:54Z
Last Changed At2026-06-19 10:02:55Z
Inactive At—
Source Posted At—
Source Updated At2026-06-12 00:00:00Z
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      "Value": "<span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">Senior Consultant – GenAI / Agentic Systems, Infosys Consulting</span></span></b><br><br><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\"><b>The Role – What You’ll Do</b></span></span></span><br><br><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">We are seeking a hands-on <b>AI Engineer / consultant with a background in financial services</b> to design, build, and scale GenAI-powered solutions for banking and financial services. The role focuses on <b>LLM application development, agent orchestration, and data-driven AI pipelines</b> to be developed for specific financial services use cases.</span></span></span><br><br><br><br><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">Key Responsibilities</span></span></b></span></span></span><br>&nbsp;<ul><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / lead solution design</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Design and develop <b>GenAI solutions</b> using LLMs (Claude, OpenAI, etc.)</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Build <b>agent-based workflows</b> using frameworks such as LangChain / Google ADK / similar</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Develop <b>RAG pipelines</b>, semantic search, and knowledge-driven applications</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Implement <b>prompt engineering, evaluation frameworks, and guardrails</b></span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Work closely with architects, SMEs, and product owners to translate business requirements into AI solutions</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Perform <b>testing, validation, and optimization</b> of AI models and pipelines</span></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Coordinate with business and technology stakeholders for program delivery</span></span></span></span></span></li></ul><br><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">Required Skills</span></span></b></span></span></span><br>&nbsp;<ul><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Experience in Python-based AI/ML development</span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Understanding of: </span></b></span></span></span></span><ul style=\"list-style-type:circle\"><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">LLMs and GenAI architectures</span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Prompt engineering and chaining techniques</span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Data processing and pipelines </span></b></span></span></span></span></li></ul></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Understanding of Graph RAG </span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Hands-on with one or more: </span></b></span></span></span></span><ul style=\"list-style-type:circle\"><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">LangChain / similar frameworks</span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Claude / OpenAI / other LLM APIs</span></b></span></span></span></span></li></ul></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Working knowledge of: </span></b></span></span></span></span><ul style=\"list-style-type:circle\"><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Vector databases, embeddings, semantic search</span></b></span></span></span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">API integrations and microservices</span></b></span></span></span></span></li></ul></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Exposure to Financial services domain </span></b></span></span></span></span></li></ul><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">Basic Qualifications</span></span></b></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Bachelor’s degree or equivalent required</span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Prior work experience of 5-8 years either in management consulting or directly working on advisory business, technology or operational change initiatives in </span><span style=\"color:black\">Capital Markets </span><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">industry.</span></span></span></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Strong problem-solving mindset</span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Ability to work in fast-paced AI delivery pods</span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Balance of <strong>hands-on coding + solution thinking</strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\"><strong>Familiarity with banking and financial services domain</strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\">Ability to travel up to 75%.</span></span></span></li><li style=\"margin-bottom:11px; margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\"><b><span style=\"line-height:115%\"><span style=\"color:#474747\">Location – Dallas, Charlotte, NJ/NY</span></span></b></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\">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.</span></span></span></li></ul><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:normal\"><b><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\"><span style=\"color:#121212\">Preferred Qualifications / Skills</span></span></b></span></span></span><ul style=\"margin-bottom:11px\"><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Exposure to <strong>Google ADK / agentic frameworks</strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Experience with <strong>knowledge graphs and graph-based retrieval</strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Understanding of <strong>banking / financial services domain</strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Familiarity with <strong>cloud platforms (Azure / AWS / GCP) </strong></span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:15.0pt\">Data engineering basics (SQL, schema, profiling)</span></span></span></li><li style=\"margin-bottom:11px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"color:#121212\"><span style=\"line-height:normal\"><span style=\"border:none windowtext 1.0pt; background:white; padding:0in\">Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary</span></span></span></span></span></span></li><li style=\"margin-bottom:11px; margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"line-height:115%\"><span style=\"line-height:115%\"><span style=\"color:#474747\">Candidates should be able to ramp up quickly with minimal support, take full ownership of assigned tasks, and consistently deliver against timelines and commitments.</span></span><br><br><b><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"line-height:115%\"><span style=\"color:black\">Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -</span></span></span></span></b></span></span></span></li></ul><ul><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">Medical/Dental/Vision/Life Insurance</span></span></span></span></span></span></li><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">Long-term/Short-term Disability</span></span></span></span></span></span></li><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">Health and Dependent Care Reimbursement Accounts</span></span></span></span></span></span></li><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)</span></span></span></span></span></span></li><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">401(k) plan and contributions dependent on salary level</span></span></span></span></span></span></li><li class=\"elementtoproof\" style=\"margin-left:8px\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial,Helvetica,sans-serif;\"><span style=\"background:white\"><span style=\"border: 1pt windowtext; padding: 0in;\"><span style=\"background:white\"><span style=\"color:black\">Paid holidays plus Paid Time Off</span></span></span></span></span></span></li></ul><br><br>&nbsp;",
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