GenAI & Agentic AI Solutions Lead

Infosys; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

401(k) plan and employer contributions

Paid holidays plus Paid Time Off

Employee benefits program

Job summary

Infosys DNA is seeking a Data Science Project Lead 2 to drive analytics projects from scope to delivery, enabling measurable business impact. You will guide cross‑functional teams, manage stakeholders, and shape both business and technical requirements for scalable AI solutions.

Join a global leader leveraging AI and analytics to transform enterprise data into actionable insights, with opportunities to influence project economics and cultivate learning across the organization.

Qualifications

• Experience in AI/ML and GenAI/LLM implementation.
• Solution architecture with hands‑on delivery leadership for production‑grade AI systems.
• Proven experience in pre‑sales: proposals, RFPs, estimations, solution workshops, and stakeholder presentations.

Responsibilities

• Define project scope, goals, and deliverables that support business goals with stakeholders.
• Monitor project performance reports providing progress, challenges, and outcomes.
• Establish and maintain relationships with client stakeholders and provide project updates.
• Facilitate end-to-end delivery and implementation of analytics projects and technologies.

Skills

AI/ML experience

GenAI/LLM

Solution architecture

Delivery leadership

Pre-sales

Education

Bachelor's degree

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

Job description

Infosys DNA is seeking a Data Science Project Lead 2 to drive analytics projects from scope to delivery, enabling measurable business impact. You will guide cross‑functional teams, manage stakeholders, and shape both business and technical requirements for scalable AI solutions.

Join a global leader leveraging AI and analytics to transform enterprise data into actionable insights, with opportunities to influence project economics and cultivate learning across the organization.