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

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 About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world's most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today's digital landscape to win market share and create shareholder value for lasting competitive advantage. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.