Gen/Agentic AI Consultant

Infosys•Dallas, NC

1d•Onsite

About The Position

In the assigned Job Role of Data Science Project Lead 1, your Area Of Responsibility will be as below: Develop project plans, track project progress, and prepare project status reports in collaboration with internal and client stakeholders. Identify and assist in resolving resource gaps or constraints that may impact project delivery. Co-ordinating between the analytical teams and client stakeholders by assisting in organizing regular meetings, phasing of projects. Support the delivery and technology enablement of analytics solutions by translating defined business requirements into structured outputs, configuring tools, validating data pipelines, and assisting in the integration of analytics solutions, while ensuring alignment with delivery plans. Conduct review of the project deliverables across development, testing, and/or support phases, in order to meet predefined quality standards and stakeholder expectations. Your contribution to the team: Proactive risk management to ensure project delivery. An ability to build collaborative relationships with stakeholders through effective communication. Focused governance over project scope and identification of additional project opportunities. Focus to anticipate challenges and deliver innovative solutions. Commitment to balance project economics with adherence to strategic priorities.

Requirements

Experience in AI/ML and GenAI/LLM/Agentic AI implementation.
Strong experience in solution architecture + hands-on delivery leadership for production-grade AI systems.
Proven experience in pre-sales: proposals, RFPs, estimations, solution workshops, and stakeholder presentations.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Expertise in LLMs and enterprise GenAI patterns, RAG pipelines, vector search, reranking, evaluation frameworks and Agent frameworks: LangChain, LlamaIndex, AutoGen, CrewAI (or equivalent)
Strong understanding of data engineering patterns for AI- ingestion, governance, lineage, metadata, PII controls.

Responsibilities

Develop project plans, track project progress, and prepare project status reports in collaboration with internal and client stakeholders.
Identify and assist in resolving resource gaps or constraints that may impact project delivery.
Co-ordinating between the analytical teams and client stakeholders by assisting in organizing regular meetings, phasing of projects.
Support the delivery and technology enablement of analytics solutions by translating defined business requirements into structured outputs, configuring tools, validating data pipelines, and assisting in the integration of analytics solutions, while ensuring alignment with delivery plans.
Conduct review of the project deliverables across development, testing, and/or support phases, in order to meet predefined quality standards and stakeholder expectations.