Agentic Systems - FS - Infosys Consulting

Infosys•Dallas, NY

22h•Onsite

About The Position

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.

Requirements

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
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%.

Nice To Haves

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.

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